JP6882113B2 - Judgment device and judgment method - Google Patents

Description

The present invention relates to a determination device or the like for determining an abnormality related to an electric turning machine.

In railways, in order to realize safe transportation, it is desired to promptly detect an abnormality related to the conversion operation of an electric switch that converts a turnout. For example, Patent Document 1 discloses a technique for determining an abnormality in conversion operation based on a load torque obtained from a motor current of a servomotor for an electric turning machine using a servomotor as a drive source. There is.

Japanese Unexamined Patent Publication No. 2009-83577

Since the servomotor performs constant rotation speed control that keeps the rotation speed constant by controlling the motor current, the load torque can be obtained from the motor current. However, at present, the accuracy of load torque analysis based on the motor current of the servomotor is not sufficient.

By the way, as an electric turning machine, a machine using an induction motor other than a servomotor is well known. However, the conversion abnormality determination technique as described in Patent Document 1 cannot be applied to the electric turning machine using this induction motor.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a new technique capable of determining an abnormality in a conversion operation of an electric turning machine using an induction motor and its factors. It is to be.

The first invention for solving the above problems is
It is a judgment device that determines an abnormality related to an electric turning machine that converts the rotational output of an induction motor into a linear motion via a group of conversion gears to perform a conversion operation.
An acquisition means for acquiring detection data for detecting the amount of rotation of any of the gears in the conversion gear group and / or the amount of movement related to the linear motion (hereinafter collectively referred to as "displacement amount").
Based on the detected data, the speed and / or acceleration of the displacement amount (hereinafter collectively referred to as "displacement speed or the like") is calculated, and a series of time-series changes of the displacement speed or the like related to the series of conversion operations are performed. A generation means for generating a pair stroke curve associated with the displacement amount related to the conversion operation, and
By dividing the pair stroke curve for each period based on the displacement amount corresponding to each operation process of the electric turning machine constituting the series of the conversion operations, the curve portion corresponding to each operation process is specified. With specific means
A determination means for determining the presence or absence of an abnormality by determining whether or not a predetermined abnormality condition determined for each of the specified curve portions is satisfied.
It is a judgment device equipped with.

Also, as another invention,
It is a judgment method for judging an abnormality related to an electric turning machine that performs a conversion operation by converting the rotational output of an induction motor into a linear motion via a group of conversion gears.
An acquisition step of acquiring detection data for detecting the amount of rotation of any of the gears in the conversion gear group and / or the amount of movement related to the linear motion (hereinafter collectively referred to as "displacement amount").
Based on the detected data, the speed and / or acceleration of the displacement amount (hereinafter collectively referred to as "displacement speed or the like") is calculated, and a series of time-series changes of the displacement speed or the like related to the series of conversion operations are performed. A generation step for generating a pair stroke curve associated with the displacement amount related to the conversion operation, and a generation step.
By dividing the pair stroke curve for each period based on the displacement amount corresponding to each operation process of the electric turning machine constituting the series of the conversion operations, the curve portion corresponding to each operation process is specified. With specific steps
A determination step for determining the presence or absence of an abnormality by determining whether or not a predetermined abnormality condition determined for each of the specified curve portions is satisfied.
A determination method including the above may be configured.

It is possible to determine an abnormality related to the conversion operation of an electric turning machine using an induction motor as a drive source. The rotational output of the induction motor is converted into a linear motion via a group of conversion gears to perform the conversion operation. Therefore, from the amount of rotation of any of the gears in the conversion gear group and / or the amount of displacement which is the amount of movement related to the linear motion, the period corresponding to each operation process of the electric turning machine constituting the series of conversion operations. Can be defined. On the other hand, the displacement speed of the displacement amount and the like change according to, for example, the load torque. Therefore, according to the first invention or the like, a pair stroke curve is generated, and the pair stroke curve is divided into curve portions for each period corresponding to each operation process of the electric rolling machine. As a result, it becomes possible to grasp the change of the displacement speed or the like with respect to the displacement amount as a curved portion for each operation process, and it becomes possible to determine the presence or absence of an abnormality. That is, it becomes possible to determine an abnormality related to the conversion operation of the electric turning machine.

The second invention is the determination device of the first invention.
The determination means determines an abnormality factor depending on which of the curved portions satisfying the abnormality condition.
It is a judgment device.

According to the second invention, when there is an abnormality, the cause of the abnormality can be determined. That is, there are various abnormal factors of the conversion operation such as foreign matter pinching, wear of the member, and change of the adhesion force, but the curved portion where the abnormality appears differs depending on the abnormal factor. Therefore, the anomaly factor can be determined depending on which curve portion satisfies the anomaly condition. The determination of the abnormal factor referred to here means to include the narrowing down of the abnormal factor.

The third invention is the determination device of the first or second invention.
The generation means calculates the speed and acceleration of the displacement amount as the displacement speed and the like, and two types of pairs of the pair stroke curve relating to the speed of the displacement amount and the pair stroke curve relating to the acceleration of the displacement amount. Generate a stroke curve,
The determination means determines the presence or absence of an abnormality using the two types of pair stroke curves.
It is a judgment device.

According to the third invention, since the speed and acceleration of the displacement amount differ depending on the abnormal factor, more various abnormal factors can be used by using two types of pair stroke curves for the speed and acceleration of the displacement amount. Can be determined.

The fourth invention is a determination device according to any one of the first to third inventions.
A storage means for storing the pair stroke curve generated by the generation means in association with a time series.
With
The determination means includes a time-series determination means for determining the presence or absence of an abnormality based on the time-series pair stroke curve.
It is a judgment device.

According to the fourth invention, it is possible to prevent erroneous determination, improve the accuracy of abnormality determination, and determine the sign and progress of anomalous factors, based on a plurality of time-series anti-stroke curves. Become.

The fifth invention is the determination device of the fourth invention.
The time-series determination means determines whether or not there is an abnormality in a predetermined curved portion of the curved portions corresponding to each operation process.
It is a judgment device.

According to the fifth invention, in the determination of abnormality based on the time-series anti-stroke curve, the efficiency and accuracy can be improved by determining the presence or absence of abnormality in the curve portion corresponding to the operation process according to the assumed abnormality factor. Improved judgment is possible.

The sixth invention is the determination device of the fifth invention.
The time-series determination means determines that there is an abnormality when the time-series cumulative value of the predetermined curve portion during the period satisfying the predetermined abnormality prediction standard satisfies the predetermined condition.
It is a judgment device.

According to the sixth invention, it is possible to determine the abnormality based on the time-series cumulative value during the period when the displacement velocity or the like shows signs of abnormality.

The figure for demonstrating the force transmission and determination apparatus between each main part of an electric turning machine. Internal configuration diagram of the electric turning machine. An example of velocity / acceleration curve. An example of the velocity / acceleration curve when the conversion load increases. An example of velocity / acceleration curve when over-adhesion occurs. An example of the velocity / acceleration curve when the adhesion is small or the mechanical part is worn. An example of the speed / acceleration curve when the motor voltage rises. An example of the speed / acceleration curve when the motor voltage drops. An example of velocity / acceleration curve when foreign matter is generated. An example of velocity / acceleration curve when foreign matter is generated. An example of a speed criterion table. An example of an acceleration criterion table. An example of a velocity curved surface. An example of an acceleration surface. An example of a constant velocity diagram. An example of a constant acceleration diagram. An example of a constant velocity diagram when a conversion load increase occurs. Functional configuration diagram of the judgment device. An example of the first determination result data. An example of a constant velocity line judgment standard table. An example of the constant acceleration line judgment standard table. An example of the second judgment result data. Flowchart of abnormality judgment processing.

[overall structure]
FIG. 1 is a diagram for explaining a force transmission and determination device between each main part constituting the electric turning machine 100.

The electric turning machine 100 has an induction motor 102, a clutch 104, a conversion gear group 110, and an operating can 130 as main configurations. The electric turnout machine 100 transmits the rotational output of the induction electric machine 102 to the conversion gear group 110 by the clutch 104, converts it into a torque appropriate for driving the conversion mechanism by the conversion gear group 110, and operates by the conversion mechanism. A series of conversion operations with respect to the turnout 190 are performed, such as the tongue rail being converted and moved by the linear motion of the can 130, the turnout 190 being converted to the localization / reverse position, and the tongue rail being brought into close contact with the basic rail.

The conversion gear group 110 is provided with a sensor 180 that detects the amount of rotation of the gears of the conversion gear group 110 as a displacement amount. Further, instead of the sensor 180, or together with the sensor 180, a sensor 182 that detects the amount of movement of the motion can 130 that performs linear motion can be provided, but the following will be described as providing only the sensor 180. The determination device 200 determines the presence or absence of an abnormality related to the electric turning machine 100 and the cause of the abnormality based on the detection data of the sensor 180.

FIG. 2 is a top view showing the main internal mechanism of the electric turning machine 100. As shown in FIG. 2, the conversion gear group 110 includes a pinion gear 112 attached to a drive shaft 103 of the induction motor 102, a bevel gear 114 that meshes with the pinion gear 112, and a first reduction gear provided on the rotation shaft of the bevel gear 114. It is configured to have a plurality of gears (gears) including an intermediate gear 118 that meshes with 116 and a conversion gear 122 that is a final gear that meshes with a second reduction gear 120 provided on the rotation shaft of the intermediate gear 118.

The sensor 180 is attached to any gear of the conversion gear group 110 and detects the amount of rotation thereof. For example, the sensor 180 is attached to a pinion gear 112, which is a gear on the induction motor 102 side, and is an optical or magnetic type that detects the teeth of the gear that have passed without contact as the amount of rotation and outputs a pulsed detection waveform. Rotation that is attached to a rotation detector or a conversion gear 122 that is the final gear, detects the rotation angle as a rotation amount in the range of 0 to 360 degrees (0 to 2π) without contact, and outputs a saw-shaped detection waveform. This can be achieved by an angle detector. Of course, the type of the sensor 180 and the gear to be attached are not limited to this, and the rotational angular velocity detector may be attached to the pinion gear 112 or another gear, or an optical or magnetic rotation detector may be attached to the conversion gear 122 or the like. It may be attached to other gears.

[Judgment principle]
The presence or absence of an abnormality in the electric turning machine 100 based on the detection data of the sensor 180 by the determination device 200, and the determination principle of the cause of the abnormality will be described. The induction motor 102 is a single-phase induction motor, and its rotation speed changes depending on the load torque, and each gear of the conversion gear group 110 rotates at a speed corresponding to the rotation speed of the induction motor 102. That is, since there is a mutual relationship between the load torque and the rotation speed of the gear, the abnormality related to the conversion operation of the electric turning machine 100 is determined based on the rotation speed of the gear. Further, since the rotation amount of the gear becomes a linear motion and is linked to the conversion movement amount of the tongue rail, it is possible to determine each operation process related to the conversion operation from the rotation amount of the gear.

(A) Speed / Acceleration Curve First, as shown in FIG. 3, based on the detection data of the sensor 180 when the electric turning machine 100 is made to perform a series of conversion operations, the speed of the amount of rotation of the gear is determined. And, as a time-series change in each series of conversion operations of acceleration, two types of pair stroke curves corresponding to the amount of rotation of the gears in the series of conversion operations are generated. That is, a velocity curve which is a stroke curve with respect to the speed of the amount of rotation of the gear (that is, the rotation speed; hereinafter, simply referred to as "speed") and the acceleration of the amount of rotation of the gear (that is, the rotational acceleration; hereinafter, simply "acceleration"). The acceleration curve, which is the anti-stroke curve with respect to (referred to as), is generated. The amount of rotation of the gear referred to here corresponds to the amount of displacement, and the speed or acceleration of the amount of rotation corresponds to the displacement speed or the like. When the sensor 182 is adopted instead of the sensor 180, the moving amount of the operating can 130 corresponds to the displacement amount, and the moving speed and moving acceleration of the operating can 130 correspond to the displacement speed and the like. Hereinafter, the velocity curve and the acceleration curve are collectively referred to as a "velocity / acceleration curve".

FIG. 3A shows a velocity curve, and FIG. 3B shows an acceleration curve. The velocity on the vertical axis of the velocity curve and the acceleration on the vertical axis of the acceleration curve are the rotational speed and the rotational acceleration of the gear to which the sensor 180 is attached, respectively. When the sensor 180 is a rotation angle detector, the detection data is the rotation angle data with respect to the time, so that the rotation speed of the gear can be obtained by the time differential processing with respect to the detection data. Further, the rotational acceleration of the gear can be obtained by performing the time differential processing with respect to the obtained rotational speed. Further, when the sensor 180 is a rotation detector, the number of pulses of the detection data is counted and converted into the rotation angle of the gear, so that the rotation speed and the rotation acceleration of the gear can be calculated as in the case of the rotation angle detector. You can ask.

Further, since the horizontal axis of the velocity curve and the acceleration curve corresponds to the rotation amount of the gear which is the displacement amount, it can be said to be the stroke amount of the operation can 130, that is, the stroke position. If the sensor 180 is a rotation detector, the stroke position can be converted and obtained based on the number of pulses equal to the number of gear teeth, and if the sensor 180 is a rotation angle detector, the stroke position can be calculated based on the rotation angle. it can.

(B) Specification of operation process Next, for each of the velocity curve and the acceleration curve, a curve portion corresponding to a plurality of operation processes of the electric turning machine 100 constituting a series of conversion operations is specified. Specifically, the series of conversion operations is composed of a plurality of operation steps of an acceleration step, an unlocking step, a conversion step, a close contact step, a locking step, and an inertial step. The acceleration step is a period from the start time of the rotation operation of the induction motor 102, which is the start time of a series of conversion operations, to the rotation output sufficient for driving the conversion mechanism and the locking mechanism. The unlocking step is a period for unlocking the locking mechanism 140. The conversion step is a period in which the conversion mechanism drives the operation can 130 to convert the tongue rail until it comes into contact with the basic rail. The close contact step is a period in which the conversion mechanism drives the operation can 130 to bring the tip end portion of the tongue rail into close contact with the basic rail. The locking step is a period until the locking mechanism 140 is locked and the operation of the induction motor 102 is stopped. The coasting step is a period after the operation of the induction motor 102 is stopped, and is a period in which each gear of the conversion gear group 110 is rotating (idle) while decelerating due to the inertial force of the induction motor 102. The inertial step is a period until the end of the mechanism in which the idling gears of the conversion gear group 110 come into contact with a predetermined member inside the mechanism and the rotation is stopped. This mechanism termination is the end point of a series of conversion operations.

Since the speed curve and the acceleration curve have the horizontal axis as the stroke position, if they are a series of conversion operations for the same electric turning machine 100 and the gears to be detected by the sensor 180 are the same, The length of the period (stroke period length) of each operation process on the velocity curve and the acceleration curve is constant. That is, the stroke period length of each operation process can be determined in advance by defining the relationship between the actual conversion operation and the amount of rotation of the gear. Since the stroke period length of each operation process is fixedly determined, all the operation processes in the velocity curve and the acceleration curve can be used as long as the start point or end point of at least one operation process or the boundary between adjacent operation processes can be determined. The operation process, that is, the stroke position can be determined. For example, the end of the mechanism in which both the velocity and the acceleration become zero can be specified, and each operation process can be determined with reference to this time point.

(C) Characteristics of Velocity / Acceleration Curve Due to Abnormal Factors As findings for realizing this embodiment, an abnormality related to the electric turning machine 100 (for example, an abnormality of the electric turning machine 100 itself or a turnout to be operated) When an abnormality of 190) occurs, it was found that the velocity curve and the acceleration curve related to the conversion operation are characterized by the operation process according to the abnormality factor. For each of the plurality of abnormal factors, the operation process in which the velocity curve and the acceleration curve are characterized and the characteristics thereof will be described.

In the present embodiment, the assumed abnormal factors are an increase in conversion load, over-adhesion, small adhesion, wear of the mechanical part, increase in motor voltage, decrease in motor voltage, and foreign matter.

FIGS. 4 to 10 are diagrams showing a speed curve and an acceleration curve obtained by performing a conversion operation of the electric turning machine 100 in a state where an abnormal factor is artificially generated. is there. In each figure, the velocity curve is shown on the upper side and the acceleration curve is shown on the lower side. In addition, for comparison, the normal velocity curve and the acceleration curve in which no abnormality has occurred are also shown by thin lines.

(A) Increase in conversion load FIG. 4 is a diagram showing a speed curve and an acceleration curve for the conversion operation of the electric turning machine 100 when an increase in conversion load occurs. In the turnout 190, the tongue rail is converted and moved so as to slide on the floor plate, but the load when moving the tongue rail increases due to an increase in the frictional force between the tongue rail and the floor plate. That is, as shown in FIG. 4, in the conversion step, the speed decreases as compared with the normal state, and the acceleration fluctuates greatly with the decrease in the speed. This slowdown appears throughout the conversion process. In other operation steps, no remarkable feature due to running out of oil on the floor plate appears.

(B) Over-adhesion FIG. 5 is a diagram showing a speed curve and an acceleration curve of the conversion operation of the electric turning machine 100 when over-adhesion occurs. When locking the operating can, the tongue rail is pressed with a predetermined force in order to bring the tip of the tongue rail into close contact with the basic rail. Will increase. That is, as shown in FIG. 5, in the close contact process, the speed temporarily decreases as compared with the normal state, and the acceleration fluctuates greatly with the decrease in the speed. Furthermore, when the next conversion operation is continuously performed from the locked state due to over-adhesion, the frictional force between the conversion gear and the operation can is increasing, so a larger force than in the normal state is required. And the load increases. That is, as shown in FIG. 5, in the unlocking step, the speed decreases as compared with the normal state, and the acceleration fluctuates as the speed decreases.

(C) Small adhesion or wear of the mechanical portion FIG. 6 is a diagram showing a speed curve and an acceleration curve of the conversion operation of the electric turning machine 100 when the adhesion is small or the mechanical portion is worn. Contrary to over-adhesion, if the adhesive force at the time of locking is insufficient, the load at the time of conversion is reduced. Further, since the frictional force between the conversion gear and the operating can is weak and the load is small, the gear tends to idle after the induction motor 102 is stopped. That is, as shown in FIG. 6, the fluctuation of the acceleration becomes small in the close contact process, and the speed in the inertial process and the end of the mechanism becomes higher than in the normal state. In addition, when the mechanical part such as the jaw pin that fastens the connection part between the lock can and the connection can is worn, this connection part becomes loose, and the driving force of the lock mechanism at the time of locking decreases, and the load at the time of conversion decreases. Therefore, the situation is similar to that of small contact.

(D) Motor voltage rise FIG. 7 is a diagram showing a speed / acceleration curve applied to the conversion operation of the electric turning machine 100 when the motor voltage rise occurs. When the operating voltage of the induction motor 102 increases, the rotation speed of the induction motor 102 tends to increase. That is, since the rotation speed of the gear corresponds to the rotation speed of the induction motor 102, as shown in FIG. 7, the acceleration in the acceleration step is higher than that in the normal state.

(E) Motor voltage drop FIG. 8 is a diagram showing a speed / acceleration curve applied to a conversion operation of the electric turning machine 100 when a motor voltage drop occurs. Contrary to the increase in the motor voltage, when the operating voltage of the induction motor 102 decreases, it becomes difficult for the rotation speed to increase. That is, as shown in FIG. 8, in the acceleration step, the acceleration is lower than in the normal state.

(F) Foreign matter FIGS. 9 and 10 are diagrams showing speed / acceleration curves applied to the conversion operation of the electric turning machine 100 when a foreign matter is generated. If foreign matter such as pebbles intervenes between the tong rail and the basic rail, the conversion of the tongue rail is hindered and the load at the time of conversion increases. Depending on the size and location of the foreign matter, the conversion movement of the tongue rail may be the movement while pushing the foreign matter, the foreign matter sandwiched between the tongue rail and the basic rail may break, or the foreign matter may not break and the tongue rail and the basic Various situations can occur, such as the conversion operation being stopped while being sandwiched between the rails, or the conversion being stopped when the tongue rail comes into contact with a foreign object. That is, as shown in FIGS. 9 and 10, in the conversion step, the close contact step, and the locking step, the speed decreases as compared with the normal state, and the acceleration fluctuates according to the decrease in the speed.

More specifically, as shown in FIG. 9, when the intervening foreign matter is relatively small, the converting and moving tongue rail pushes the foreign matter as it is and sandwiches it between the basic rail and crushes the foreign matter, or the foreign matter is crushed. It is locked with the intervening state. That is, in the close contact process (more specifically, the initial part of the close contact process in which the foreign matter comes into contact with the basic rail), the speed temporarily decreases significantly as compared with the normal state, and the acceleration accompanies this decrease in speed. Fluctuates greatly.

Further, as shown in FIG. 10, when the intervening foreign matter is relatively large, the movement of the tongue rail is stopped at the time of contact with the foreign matter, and the conversion operation is interrupted. That is, in the conversion step (more specifically, when the tongue rail comes into contact with a foreign substance), the speed drops sharply to zero, and the acceleration fluctuates greatly with this change in speed.

As described above, since the operation process in which the characteristics appear in the speed / acceleration curve is different for each of the above-mentioned abnormal factors, in the present embodiment, the characteristics appearing in the speed / acceleration curve for each operation process. By determining, the presence or absence of an abnormality in the electric turning machine 100, and if there is an abnormality, the cause of the abnormality is determined. The determination of the abnormal factor referred to here includes the meaning of narrowing down the abnormal factor. In addition, the following two types are performed as the determination method.

(D) First Judgment First, in the first judgment, the presence / absence of an abnormality and an abnormality are determined by comparing the speed / acceleration curve for a series of conversion operations to be determined with the reference curve for each operation process. Determine the cause. The reference curve is a velocity / acceleration curve based on the detection data obtained when the electric turning machine 100 in the normal state is subjected to a series of conversion operations. This reference curve may be a curve for one conversion operation, or may be an average of curves for each of a plurality of conversion operations. Of course, in the reference curve (velocity reference curve and acceleration reference curve), the curve portion corresponding to each operation process is specified.

As described above, the operating process and its characteristics, in which the characteristics appear in the velocity / acceleration curve, differ depending on the abnormal factors that have occurred. 11 and 12 are determination tables that define the correspondence between the abnormal factor, the operation process in which the characteristics appear due to the abnormal factor, and the abnormal condition for determining the abnormality caused by the abnormal factor. is there. FIG. 11 is a determination table for the velocity curve (speed determination reference table 252), and FIG. 12 is a determination table for the acceleration curve (acceleration determination reference table 254). According to this determination table, a predetermined index value based on the speed / acceleration curve corresponding to the operation process and the partial curve value (speed or acceleration value) of each reference curve is obtained for each operation process, and this index value is obtained. Based on the above, it is determined whether or not an abnormal factor corresponding to the operation process has occurred.

Specifically, according to FIG. 11, by comparing the speed curve to be determined with the speed reference curve corresponding to the normal state, the abnormal factor can be determined as follows. That is, in the unlocking step, the value of the speed curve (hereinafter, "detection value") is smaller than the value of the speed reference curve (hereinafter, "reference value"), and the maximum speed difference value, which is an index value, is equal to or larger than the threshold value. As an abnormal condition, over-adhesion can be determined as an abnormal factor. The maximum speed difference value is the maximum value of the speed difference (absolute value) between the reference value and the detected value at each stroke position in the corresponding operation process. As shown in FIG. 5, when over-adhesion occurs, the speed decreases in the unlocking step as compared with the normal state. Therefore, this "decrease in speed" is determined by the maximum value of the speed difference. The threshold can be set according to the degree of expected decrease in speed.

Regarding the conversion step, it is possible to determine the increase in conversion load as an abnormal factor, with the condition that the speed difference integrated value, which is an index value, is equal to or greater than the threshold value. The speed difference integrated value is a value obtained by integrating the speed difference (absolute value) between the reference value and the detected value in the corresponding operating process over the entire period of the operating process. As shown in FIG. 4, when the conversion load increases, the speed continues to decrease in the conversion process as compared with the normal state. Therefore, this "continuous decrease in speed" is referred to as the speed difference integrated value. Judge by. The threshold value can be set according to the expected degree of decrease in speed and the stroke period length of the conversion process.

Regarding the adhesion step, it is possible to determine overadhesion as an abnormal factor under the condition that the detected value is smaller than the reference value and the maximum speed difference value, which is an index value, is equal to or more than the threshold value. As shown in FIG. 5, when over-adhesion occurs, the speed temporarily decreases significantly in the adhesion process as compared with the normal state. Therefore, this "large decrease in speed" is judged by the maximum speed value. .. The threshold can be set according to the degree of expected decrease in speed.

Regarding the inertial process, it is an abnormal condition that the detected value is larger than the reference value and the maximum speed difference value, which is an index value, is equal to or more than the threshold value. it can. As shown in FIG. 6, when the adhesion is small or the mechanical part is worn, the speed becomes faster in the inertia process than in the normal state. Therefore, this "speed increase" is judged by the maximum speed difference value. .. The threshold can be set according to the expected degree of increase in speed. Even at the end of the mechanism, which is the final stage of the inertial process, it is possible to determine whether the adhesion is small or the mechanical part is worn as an abnormal factor under the same abnormal conditions.

Further, in the conversion step, the close contact step, and the locking step, the foreign matter can be determined as an abnormal factor on the condition that the speed becomes zero. In addition, it is possible to determine the size of the foreign matter, which is an abnormal factor, depending on which operation process the speed becomes zero.

Further, according to FIG. 12, the abnormal factor can be determined as follows by comparing the acceleration curve to be determined with the acceleration reference curve corresponding to the normal state. That is, in the acceleration process, the value of the acceleration curve (hereinafter referred to as "detection value") is larger than the value of the acceleration reference curve (hereinafter referred to as "reference value"), and the maximum acceleration difference value which is an index value is the threshold value. With the above as an abnormal condition, it is possible to determine the motor voltage rise. Further, the motor voltage drop can be determined on the condition that the detected value is smaller than the reference value and the maximum acceleration difference value is equal to or larger than the threshold value. The maximum acceleration difference value is the maximum value of the acceleration difference (absolute value) between the reference value and the detected value at each stroke position in the corresponding operation process. As shown in FIG. 7, when the motor voltage rises, the acceleration increases in the acceleration step as compared with the normal state, and as shown in FIG. 8, when the motor voltage drops, the acceleration occurs. In the process, the acceleration is lower than in the normal state. Therefore, this "increase in acceleration" or "decrease in acceleration" is determined by the maximum value of the acceleration difference. The threshold can be set according to the degree of expected decrease in speed.

In the unlocking step, it is possible to determine over-adhesion as an abnormal factor under the condition that the acceleration fluctuation amount, which is an index value, is equal to or more than the threshold value. The acceleration fluctuation amount is the acceleration difference between the maximum value and the minimum value of the detected value at each stroke position in the corresponding operation process. As shown in FIG. 5, when over-adhesion occurs, the acceleration fluctuates in the unlocking step as compared with the normal state. Therefore, this “acceleration fluctuation” is determined by the acceleration fluctuation amount. The threshold value can be set according to the expected fluctuation of acceleration.

Regarding the conversion step, it is possible to determine the conversion load increase as an abnormal factor under the condition that the acceleration fluctuation amount is equal to or more than the threshold value. As shown in FIG. 4, when the conversion load increases, the acceleration fluctuates significantly in the conversion process as compared with the normal state. Therefore, this "acceleration fluctuation" is determined by the amount of acceleration fluctuation. The threshold value can be set according to the expected fluctuation amount of acceleration.

Regarding the adhesion step, it is possible to determine overadhesion as an abnormal factor under the condition that the acceleration fluctuation amount is equal to or more than the threshold value. Further, when the acceleration fluctuation amount is equal to or less than the threshold value, it is possible to determine whether the adhesion is small or the mechanical part is worn as an abnormal factor. As shown in FIG. 5, when over-adhesion occurs, the acceleration fluctuates greatly in the adhesion process as compared with the normal state. Therefore, this "acceleration fluctuation" is determined by the amount of acceleration fluctuation. Further, as shown in FIG. 6, when the adhesion is small or the mechanical part is worn, the fluctuation of the acceleration becomes smaller in the adhesion process than in the normal state. Therefore, this "acceleration fluctuation" is referred to as the acceleration fluctuation. Judge by quantity. These threshold values can be set according to the expected fluctuation amount of acceleration.

Further, in the conversion step, the close contact step, and the locking step, it is possible to determine the foreign matter as an abnormal factor under the abnormal condition that the acceleration fluctuation amount is equal to or more than the threshold value. As shown in FIGS. 9 and 10, when a foreign substance is generated, the conversion operation of the electric turning machine 100 is suddenly decelerated or suddenly stopped in the conversion process, the close contact process, or the locking process. Since large fluctuations occur, this "acceleration fluctuation" is judged by the amount of acceleration fluctuation. Since the fluctuation of acceleration caused by this foreign matter is larger than the fluctuation of acceleration due to the increase in conversion load or over-adhesion, by setting the threshold value appropriately, whether the abnormal factor is a foreign matter, increase in conversion load, or excess. It is possible to determine whether it is in close contact. Further, it is possible to determine the size of the foreign matter depending on whether the acceleration fluctuates greatly in any of the operation steps of the conversion step, the close contact step, and the locking step.

In this way, it is possible to determine the presence or absence of an abnormality and the cause of the abnormality when there is an abnormality for each of the velocity curve and the acceleration curve, but further, the determination result for each of the velocity curve and the acceleration curve. It is also possible to make a comprehensive judgment by combining. For example, when a conversion load increase occurs as an abnormal factor, a feature caused by the conversion load increase appears in both the conversion process of the speed curve and the acceleration curve. Regarding such anomalous factors, when the same anomalous factors are determined with respect to the velocity curve and the acceleration curve, the anomalous factors are determined.

(E) Second determination In the second determination, the presence or absence of an abnormality in the electric turning machine 100 and the cause of the abnormality are determined based on a plurality of speed / acceleration curves in a time series. Specifically, a velocity curve and an acceleration curve in which a large number of velocity / acceleration curves (velocity curve and acceleration curve) of the electric turning machine 100 to be determined are arranged in a time series in a three-dimensional coordinate space. (Hereinafter, collectively referred to as "velocity / acceleration curve") is generated.

FIG. 13 is an example of a velocity curved surface, and FIG. 14 is an example of an acceleration curved surface. In each case, the horizontal axis is the stroke position, the vertical axis is the velocity or acceleration, and the depth direction is the chronological order. That is, the speed / acceleration curves obtained by performing the conversion operation on the same electric turning machine 100 in a state where some abnormality has occurred are arranged in the depth direction. Specifically, from the back side to the front side, each abnormal factor of increasing conversion load, normal time, foreign matter, small adhesion, overadhesion, mechanical wear, motor voltage decrease, and motor voltage increase is caused. There are multiple velocity / acceleration curves in this case. According to this velocity / acceleration curved surface, the characteristics of the change in velocity and acceleration due to the abnormal factor appear as the change in the time series direction.

After generating the velocity / acceleration curved surface, then, for this velocity / acceleration curved surface, the constant velocity diagram corresponding to the so-called contour diagram, in which the positions in the three-dimensional coordinate space where the velocity or acceleration is the same is connected by a line, and A constant velocity diagram (hereinafter collectively referred to as "constant velocity / acceleration diagram") is generated. FIG. 15 is an example of a constant velocity diagram with respect to the velocity curved surface of FIG. 13, and FIG. 16 is an example of a constant acceleration diagram with respect to the acceleration curved surface of FIG. In FIGS. 15 and 16, the horizontal axis is the stroke position and the vertical axis is the trial number corresponding to the time series direction.

If there is no abnormality in the electric turning machine 100, the speed / acceleration curve obtained when the conversion operation is performed is almost the same regardless of the execution timing. The constant acceleration line appears as a parallel line almost along the time series direction. However, if some abnormality occurs in the electric turning machine 100, the speed and acceleration change due to this abnormality. Therefore, in the constant velocity / acceleration diagram, the constant velocity line and the constant acceleration line are in the stroke position direction. It changes to distort, and new constant velocity lines and constant acceleration lines appear.

Utilizing this fact, in the second determination, the speed / acceleration curves related to the conversion operations performed so far for the electric turning machine 100 to be determined are accumulated and stored, and the conversion operation is performed for each operation process. Of the time-series velocity / acceleration curves according to the execution date and time, the presence / absence of an abnormality and the cause of the abnormality are determined based on the curve portion corresponding to the operation process. Specifically, for each operation process, a constant velocity / acceleration diagram based on the curved portion of the time-series velocity / acceleration curve corresponding to the operation process is generated, and the constant velocity line or the constant velocity line in this constant velocity / acceleration diagram is generated. The presence or absence of an abnormality and the cause of the abnormality are determined depending on whether the constant acceleration line satisfies the abnormality condition specified in the operation process.

FIG. 17A is an example showing an outline of a constant velocity diagram when a conversion load is increased in the electric turning machine 100. In FIG. 17A, the horizontal axis is the stroke position, and the vertical axis is the time (time series direction) in which the time progresses from the upper side to the lower side, which is the past. As shown in FIG. 4, when, for example, the floor plate oil runs out as a cause of the increase in the conversion load, the characteristics of changes in speed and acceleration appear in the conversion process. Therefore, in FIG. 17A, the conversion process is described. Only constant velocity lines are shown, and constant velocity lines are omitted for other operating processes. Further, as the constant velocity line, two constant velocity lines of velocity V1 and V2 are shown. The speeds V1 and V2 defined as the constant velocity lines are lower than the speed V in the conversion process when the electric turning machine 100 is normal, and V1> V2.

Then, in FIG. 17A, at the oldest time t0 when the detection was started, the electric turning machine 100 was normal, the conversion load did not increase yet, and it occurred in the middle with the passage of time. The constant velocity diagram based on the velocity curve at each time is shown in the case where the oil running out of the floor plate gradually progresses to reach the latest time tun. That is, focusing on the conversion process, with the passage of time, the speed decreases due to the progress of oil shortage of the floor plate, and the constant velocity line of the velocity V1 appears at the time ta when the velocity becomes V1 or less, and the velocity further decreases to the velocity V2. A constant velocity line of velocity V2 appears at the following time tb.

In such a constant velocity / acceleration diagram, a constant velocity line of a predetermined threshold velocity or a constant acceleration line of the threshold acceleration (hereinafter, collectively referred to as "threshold constant velocity / acceleration line") is used for each operation process. On the condition that the area of the enclosed area is equal to or larger than the threshold value, it is determined that there is an abnormality due to an abnormal factor according to the operation process. Specifically, as shown in FIG. 17 (b), the velocity / acceleration is a predetermined velocity or acceleration for each of the velocity / acceleration curves forming the velocity / acceleration curved surface (in FIG. 17 (a), the velocity). The abnormality prediction period, which is a period in the stroke position direction that satisfies the abnormality prediction criteria that V1 or the velocity V2 is equivalent to or less than or equal to), is obtained, and the time-series cumulative value obtained by integrating the abnormality prediction period in the time-series direction is obtained. This time-series cumulative value corresponds to the area surrounded by the above-mentioned threshold constant velocity / acceleration lines.

At this time, the threshold value constant velocity / acceleration and the threshold value of the time-series cumulative value, which are abnormal conditions, can be set according to the assumed abnormal factor. Further, a plurality of threshold values can be set for one abnormal factor in a certain operation process. That is, in FIG. 17A, the constant velocity lines of the two types of speeds V1 and V2 are shown in the conversion step, and the area of the region surrounded by the constant velocity lines of the respective speeds V1 and V2 (the constant velocity line). A threshold value may be set for each area), and the abnormality may be determined step by step.

In the case of a gradually progressing abnormality such as an increase in conversion load, the speed in the conversion process gradually decreases with the passage of time as a feature of the speed / acceleration curve. That is, in the constant velocity / acceleration diagram, the abnormal prediction period gradually becomes longer with the passage of time, and the time-series cumulative value (that is, the area surrounded by the constant velocity line) increases. In the second determination, the change in speed with the passage of time is determined as a sign of abnormality.

As shown in FIG. 17A, an annular constant velocity line may appear when a detection error or a temporary abnormality occurs but is immediately resolved. In this case, the area is ". Since it is "small", it will not be judged as abnormal.

In addition to the increase in conversion load, the abnormal factor that can be determined by the second determination is that the speed or acceleration temporarily changes (increases / decreases) due to the abnormality in a specific operation process, and in the constant velocity / acceleration diagram. It is possible to determine an abnormal factor such that a new constant velocity / acceleration line appears, for example, over-adhesion (see FIG. 5).

In the present embodiment, the criterion for determining the abnormality in the second determination is the area surrounded by the constant velocity line and the constant acceleration line in the constant velocity / acceleration diagram. For example, in the acceleration step and the inertia step. The interval between the two types of speed lines or acceleration lines as seen may be used as a criterion for determining an abnormality.

[Functional configuration]
FIG. 18 is a functional configuration diagram of the determination device 200. As shown in FIG. 18, the determination device 200 is a computer including an operation input unit 202, a display unit 204, a sound output unit 206, a communication unit 208, a processing unit 210, and a storage unit 230. It is a system.

The operation input unit 202 is realized by an input device such as an operation button, a switch, or a touch panel, and outputs an operation signal corresponding to the performed operation to the processing unit 210. The display unit 204 is realized by a display device such as a liquid crystal display or a display lamp, and performs various displays based on a display signal from the processing unit 210. The sound output unit 206 is realized by a sound output device such as a speaker, and outputs various sounds based on the sound signal from the processing unit 210. The communication unit 208 is realized by a wired or wireless communication device, and performs wired communication or wireless communication with an external device.

The processing unit 210 is configured to include, for example, an arithmetic unit such as a CPU (Central Processing Unit), performs various arithmetic processes based on programs and data stored in the storage unit 230, and controls the entire determination device 200. Do. In the present embodiment, the processing unit 210 has a detection data acquisition unit 212, a speed / acceleration curve generation unit 214, an operation process identification unit 216, and an abnormality determination unit 220, and has an abnormality according to the abnormality determination program 232. The determination process (see FIG. 23) is performed.

The detection data acquisition unit 212 corresponds to the acquisition means and acquires the detection data in which the rotation amount (displacement amount) of any gear of the conversion gear group 110 of the electric turning machine 100 is detected. That is, the electric turning machine 100 performs a series of conversion operations from the sensor 180 attached to any gear of the conversion gear group 110 of the electric turning machine 100 to be determined via the communication unit 208. The amount of rotation of the gear at the time of this is acquired as detection data related to the series of conversion operations.

For example, the detection data may be acquired from the sensor 180 in real time during the conversion operation of the electric turning machine 100, or the detection data may be stored and stored in the sensor to end the conversion operation. It is also possible to collectively acquire the detection data related to the conversion operation once or a plurality of times, such as every time or when the maintenance inspection is performed. The acquired detection data is included in the conversion data 248 and stored and stored in association with the execution date and time of the conversion operation.

The speed / acceleration curve generation unit 214 corresponds to the generation means, calculates the speed and / or acceleration (displacement speed, etc.) of the rotation amount (displacement amount) based on the detection data, and the displacement speed applied to the series of conversion operations. As a time-series change such as, a pair stroke curve corresponding to the amount of rotation related to a series of conversion operations is generated. Further, as the anti-stroke curve, two types of stroke curves, that is, the anti-stroke curve related to the speed of the rotation amount and the anti-stroke curve related to the acceleration of the rotation amount are generated.

That is, based on the detection data related to the series of conversion operations acquired by the detection data acquisition unit 212, the speed of the rotation amount with respect to the stroke position corresponding to the rotation amount of the gear as two types of pair stroke curves for each of the speed and the acceleration ( A speed curve of (rotational acceleration) and an acceleration curve of acceleration of the amount of rotation (rotational acceleration) with respect to the stroke position are generated. The generated velocity curve and acceleration curve are included in the conversion data 248 and stored in association with the detection data based on the generated velocity curve.

The operation process specifying unit 216 corresponds to the specific means, and divides the anti-stroke curve into each period based on the amount of rotation corresponding to each operation process of the electric turning machine 100 constituting the series of conversion operations. Identify the curved part corresponding to the operating process. That is, in the case of the same electric turning machine 100, the stroke period length of each operation process is constant regardless of the execution timing of the conversion operation. Therefore, for example, the mechanical end where the speed becomes zero is specified. By specifying the boundary of each operation process retroactively from the end of the mechanism, it is possible to specify the period corresponding to each operation process and the curved portion of the velocity / acceleration curve.

The abnormality determination unit 220 corresponds to the determination means, and determines whether or not there is an abnormality by determining whether or not a predetermined abnormality condition determined for each specified curve portion is satisfied. In addition, the cause of the abnormality is determined depending on which curve portion satisfies the abnormality condition. In addition, the presence or absence of abnormality is determined using two types of anti-stroke curves.

That is, for each operation process, it is determined whether the curved portion of the speed / acceleration curve corresponding to the operation process satisfies the abnormality condition, and if the abnormality condition is satisfied for any operation process, it is determined that there is an abnormality and the abnormality is detected. The cause of the abnormality is determined according to the operating process that satisfies the conditions. Further, the abnormality determination unit 220 has a first determination unit 222 and a second determination unit 224.

The first determination unit 222 performs an abnormality determination based on the above-mentioned first determination. Specifically, for example, every time a series of conversion operations are performed by the electric turning machine 100 and new detection data is obtained, electricity is obtained based on the speed / acceleration curve based on the detection data and the reference curve. The presence or absence of an abnormality in the rotary machine 100 and the cause of the abnormality are determined. That is, the curved portion of the speed / acceleration curve corresponding to each operation process satisfies the abnormal condition defined by the speed judgment reference table 252 shown in FIG. 11 or the acceleration judgment reference table 254 shown in FIG. 12 as an example. Determine if it meets. Then, if it is determined that the abnormality condition is satisfied in any of the operation processes, it is determined that there is an abnormality, and the abnormality factor associated with the operation process determined to satisfy the abnormality condition is determined.

The result of the determination by the first determination unit 222 is stored as the first determination result data 270. FIG. 19 is an example of the first determination result data 270. As shown in FIG. 19, the first determination result data 270 is generated every time the first determination is made. Each of the first determination result data 270 is based on the velocity curve and the acceleration curve used as the determination criteria for each operation process in association with the execution time of the series of conversion operations targeted for the first determination. The judgment result is stored. The determination result is the presence or absence of an abnormality, and if there is an abnormality, the cause of the abnormality.

The second determination unit 224 performs an abnormality determination based on the above-mentioned second determination. The second determination unit 224 corresponds to the time-series determination means, and determines the presence or absence of an abnormality based on the time-series pair stroke curve. In addition, it is determined whether or not there is an abnormality in a predetermined curved portion of the curved portions corresponding to each operation process. Further, in the predetermined curved portion, when the time-series cumulative value of the period satisfying the predetermined abnormality prediction standard satisfies the predetermined condition, it is determined that there is an abnormality.

Specifically, for example, each time a series of conversion operations are performed by the electric turning machine 100 and new detection data is acquired, the speed / acceleration curve based on the detection data is included and obtained up to the present time. Based on the time-series speed / acceleration curve based on the execution date and time of the conversion operation, the presence / absence of an abnormality in the electric turning machine 100 and the cause of the abnormality are determined. That is, it is determined whether the time-series curve portion of the speed / acceleration curve corresponding to each operation process satisfies the abnormality condition defined in the constant velocity line determination reference table 262 or the constant acceleration line determination reference table 264. Then, if it is determined that the abnormality condition is satisfied in any of the operation processes, it is determined that there is an abnormality, and the abnormality factor associated with the operation process determined to satisfy the abnormality condition is determined.

FIG. 20 is an example of the constant velocity line determination reference table 262. As shown in FIG. 20, the constant velocity line determination reference table 262 includes an abnormality factor, an operation process in which a feature appears due to the abnormality factor, and an abnormality condition for determining an abnormality caused by the abnormality factor. Correspondence relationship is defined. According to the constant velocity line determination reference table 262 shown in FIG. 20, overadhesion can be determined as an abnormal factor in the unlocking process and the adhesion process, and the conversion load increase is determined as an abnormality factor in the conversion process. be able to.

In FIG. 20, the “velocity V constant velocity line area” is the area of the region surrounded by the velocity V constant velocity line in the corresponding operation step of the velocity diagram, and more specifically, the velocity. The abnormal prediction period that satisfies the abnormal prediction standard of V or more or less is obtained as a value integrated in the time series direction.

FIG. 21 is an example of the constant acceleration line determination reference table 264. As shown in FIG. 21, the constant acceleration line determination reference table 264 shows an abnormality factor, an operation process in which a feature appears due to the abnormality factor, and an abnormality condition for determining an abnormality caused by the abnormality factor. Correspondence relationship is defined. According to the iso-acceleration line determination reference table 264 shown in FIG. 21, it is possible to determine the motor voltage rise as an abnormal factor in the acceleration process, and determine over-adhesion as an abnormal factor in the unlocking process and the adhesion process. In the conversion process, it is possible to determine the increase in conversion load as an abnormal factor.

The result of the determination by the second determination unit 224 is stored and stored as the second determination result data 272. FIG. 22 is an example of the second determination result data 272. As shown in FIG. 22, the second determination result data 272 is generated every time the second determination is made. Each second determination result data 272 is based on the velocity curve and the acceleration curve used as the determination criteria for each operation process in association with the execution time of the series of conversion operations targeted for the second determination. The judgment result is stored. The determination result is the presence or absence of an abnormality, and if there is an abnormality, the cause of the abnormality.

The storage unit 230 is realized by a storage device such as a ROM (Read Only Memory), a RAM (Random Access Memory), or a hard disk, and a processing unit 210 stores a system program, data, or the like for integratedly controlling the determination device 200. In addition to being stored, it is used as a work area of the processing unit 210, and the calculation result or the like executed by the processing unit 210 is temporarily stored. In the present embodiment, the storage unit 230 stores the abnormality determination program 232 and the turning machine data 240 for each of the electric turning machines 100 to be determined.

The turning machine data 240 includes a turning machine ID 242 for identifying the corresponding electric turning machine 100, a speed reference curve 244, an acceleration reference curve 246, and conversion data 248 for each of the conversion operations performed so far. The first determination table 250 used by the first determination unit 222 for the first determination, the second determination table 260 used by the second determination unit for the second determination, and the first determination result. The data 270 and the second determination result data 272 are stored. The conversion data 248 includes the execution date and time of the corresponding conversion operation, the detection data related to the conversion operation, the speed curve based on the detection data, and the acceleration curve. The first determination table 250 includes a speed determination reference table 252 and an acceleration determination reference table 254. The second determination table 260 includes the constant velocity line determination reference table 262 and the constant acceleration line determination reference table 264.

[Processing flow]
FIG. 23 is a flowchart illustrating the flow of the determination process. This process is realized by the processing unit 210 executing the abnormality determination program 232. Further, it is executed for each conversion operation of the electric turning machine to be determined.

First, the detection data acquisition unit 212 acquires the detection data related to the series of conversion operations performed from the sensor 180 provided in the electric turning machine 100 (step S1). This step S1 is an acquisition step. Next, the velocity / acceleration curve generation unit 214 generates a velocity / acceleration curve (velocity curve and acceleration curve) based on the acquired detection data (step S3). This step S3 is a generation step. The acquired detection data and the generated velocity / acceleration curve are stored and stored as conversion data 248 in association with the execution date and time of the conversion operation. Subsequently, the operation process specifying unit 216 specifies a curve portion corresponding to each operation process for the generated velocity / acceleration curve (step S5). This step S5 is a specific step.

After that, the first determination unit 222 determines whether or not there is an abnormality in the conversion operation of the electric turning machine 100 and the cause of the abnormality based on the corresponding curve portion for each operation process based on the generated speed / acceleration curve. The first determination is made (step S7). Further, the second determination unit 224 is based on the time-series velocity / acceleration curve obtained up to the present time including the generated velocity / acceleration curve, and is based on the corresponding time-series curve portion for each operation process. Then, the presence or absence of an abnormality in the conversion operation of the electric turning machine 100 and the second determination for determining the cause of the abnormality are performed (step S9). These steps S7 and S9 are determination steps.

Finally, the determination result is output (step S11). That is, the determination results such as the presence / absence of abnormality and the cause of abnormality obtained by the first determination and the second determination are displayed and output to, for example, the display unit 204. By adopting AND or OR between the determination result of the first determination and the determination result of the second determination, the final presence / absence of abnormality and the cause of the abnormality can be displayed and output. Not only the notification that there is an abnormality but also the degree of the abnormality may be notified. When the above processing is performed, the abnormality determination processing ends.

[Action effect]
As described above, according to the present embodiment, in the electric turning machine 100 having the induction motor 102 as the drive source, the sensor 180 provided on the gear of the conversion gear group 110 to which the rotational output of the induction motor 102 is transmitted is used. Based on the detected rotation amount of the gear, the determination device 200 can determine an abnormality in the conversion operation of the electric turning machine 100. That is, the determination device 200 generates a speed / acceleration curve which is a change in the rotation speed / acceleration of the gear with respect to the stroke position corresponding to the rotation amount of the gear, based on the detection data of the sensor related to the series of conversion operations. For each operation process that constitutes the conversion operation, the presence or absence of an abnormality and the abnormality depending on whether the partial curve of the speed / acceleration curve corresponding to the operation process satisfies a predetermined abnormality condition according to the assumed abnormality factor. Determine the cause.

[Modification example]
It should be noted that the applicable embodiments of the present invention are not limited to the above-described embodiments, and of course, they can be appropriately changed without departing from the spirit of the present invention.

(A) Sensor In the above-described embodiment, the rotation amount of the gear of the conversion gear group 110 is adopted as the displacement amount, and this rotation amount is detected by the sensor 180. The amount may be detected by using the sensor 182 (see FIG. 1) as the displacement amount. As such a sensor, for example, there is a potentiometer that detects the movement amount (distance) of the operating can 130. Similarly, for the amount of movement related to the linear motion, the velocity and acceleration can be obtained by differential processing, and the above-mentioned abnormality can be determined.

(B) Abnormal factors As the abnormal factors that can be determined by this embodiment, not only the abnormal factors shown as examples in FIGS. 4 to 10, but also abnormalities in the internal mechanism of the turning machine such as wear or chipping of constituent members. It is also possible to determine other abnormal factors such as. Since the abnormality that occurs in the electric turning machine 100 appears as some change in the curve portion of the speed / acceleration curve in each operation process, even if a change other than the change defined in the above-described embodiment occurs, some abnormality occurs. Can be determined.

100 Electric turning machine 102 Induction motor, 104 Clutch, 110 Conversion gear group, 130 Operation panel 180 Sensor 190 Brancher 200 Judgment device 202 Operation input unit, 204 Display unit, 206 Sound output unit, 208 Communication unit 210 Processing unit 212 Detection data acquisition unit, 214 Speed / acceleration curve generation unit 216 Operation process identification unit 220 Abnormality judgment unit 222 First judgment unit 224 Second judgment unit 230 Storage unit 232 Abnormality judgment program 240 Rotating machine data

Claims (7)

It is a judgment device that determines an abnormality related to an electric turning machine that converts the rotational output of an induction motor into a linear motion via a group of conversion gears to perform a conversion operation.
An acquisition means for acquiring detection data for detecting the amount of rotation of any of the gears in the conversion gear group and / or the amount of movement related to the linear motion (hereinafter collectively referred to as "displacement amount").
Based on the detected data, the speed and / or acceleration of the displacement amount (hereinafter collectively referred to as "displacement speed or the like") is calculated, and a series of time-series changes of the displacement speed or the like related to the series of conversion operations are performed. A generation means for generating a pair stroke curve associated with the displacement amount related to the conversion operation, and
By dividing the pair stroke curve for each period based on the displacement amount corresponding to each operation process of the electric turning machine constituting the series of the conversion operations, the curve portion corresponding to each operation process is specified. With specific means
A determination means for determining the presence or absence of an abnormality by determining whether or not a predetermined abnormality condition determined for each of the specified curve portions is satisfied.
Judgment device equipped with. The determination means determines an abnormality factor depending on which of the curved portions satisfying the abnormality condition.
The determination device according to claim 1. The generation means calculates the speed and acceleration of the displacement amount as the displacement speed and the like, and has two types of paired strokes, that is, the paired stroke curve relating to the speed of the displacement amount and the paired stroke curve relating to the acceleration of the displacement amount. Generate a curve,
The determination means determines the presence or absence of an abnormality using the two types of pair stroke curves.
The determination device according to claim 1 or 2. A storage means for storing the pair stroke curve generated by the generation means in association with a time series.
With
The determination means includes a time-series determination means for determining the presence or absence of an abnormality based on the time-series pair stroke curve.
The determination device according to any one of claims 1 to 3. The time-series determination means determines whether or not there is an abnormality in a predetermined curved portion of the curved portions corresponding to each operation process.
The determination device according to claim 4. The time-series determination means determines that there is an abnormality when the time-series cumulative value of the predetermined curve portion during the period satisfying the predetermined abnormality prediction standard satisfies the predetermined condition.
The determination device according to claim 5. It is a judgment method for judging an abnormality related to an electric turning machine that performs a conversion operation by converting the rotational output of an induction motor into a linear motion via a group of conversion gears.
An acquisition step of acquiring detection data for detecting the amount of rotation of any of the gears in the conversion gear group and / or the amount of movement related to the linear motion (hereinafter collectively referred to as "displacement amount").
Based on the detected data, the speed and / or acceleration of the displacement amount (hereinafter collectively referred to as "displacement speed or the like") is calculated, and a series of time-series changes of the displacement speed or the like related to the series of conversion operations are performed. A generation step for generating a pair stroke curve associated with the displacement amount related to the conversion operation, and a generation step.
By dividing the pair stroke curve for each period based on the displacement amount corresponding to each operation process of the electric turning machine constituting the series of the conversion operations, the curve portion corresponding to each operation process is specified. With specific steps
A determination step for determining the presence or absence of an abnormality by determining whether or not a predetermined abnormality condition determined for each of the specified curve portions is satisfied.
Judgment method including.

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