KR101521771B1 - Method of life assessment diagnosis for high voltage motors - Google Patents

Abstract

The present invention relates to a method of life assessment diagnosis for high voltage motors comprising the stages of: receiving by a controlling part at least one measured value among the number of starting-up of a high voltage motor, the temperature of a wiring, the vibration of a bearing, rated voltage, rated current, and start-up torque; and calculating at least one life ratio among stator wiring, rotor wiring, bearing and rotor based on the input measuring value by the controlling part.

Description

METHOD OF LIFE ASSESSMENT DIAGNOSIS FOR HIGH VOLTAGE MOTORS BACKGROUND OF THE INVENTION [0001]

The present invention relates to a method for predicting the life span of a high-voltage electric motor, and more particularly, to a method for predicting the life span of a high-voltage electric motor, which predicts the service life of components of a high-voltage electric motor.

High-voltage motors generally mean AC motors with rated voltage greater than 500 volts, or DC motors with more than 1000 volts, and the basic structure and operation are the same as for normal motors. These high-voltage motors are widely used for power generation or power driving in power plants and industrial sites.

If the high-voltage motor suddenly malfunctions during operation, much time and cost is required to identify and repair the cause of the failure. In addition, when the high-voltage motor is used in a power plant, a socioeconomic loss may occur due to power supply disruption caused by stoppage of power generation. Therefore, monitoring of abnormality of high voltage electric motor is indispensable in power generation operation.

However, in the related art, there has been a problem that it is difficult to diagnose various types of faults because only the amount of partial discharge of the high-voltage motor is periodically measured to determine the abnormality of the high-voltage motor.

Meanwhile, the background art of the present invention is disclosed in Korean Patent Laid-Open No. 10-2009-0005531 (Jan. 14, 2009).

An object of the present invention is to provide a method for predicting the life span of a high-voltage electric motor, which enables prediction of the life of the components of a high-voltage electric motor and prediction of abnormality of the faulty electric motor.

The method for predicting the service life of a high-voltage electric motor according to the present invention is characterized in that the control unit inputs at least one measurement value among the number of starting times of the high-voltage electric motor, the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, Receiving; And calculating the life rate of at least one of the stator winding, the rotor winding, the bearing, and the rotor shaft of the high-voltage electric motor based on the input measured value.

In the present invention, the step of calculating the service life ratio may include: calculating the winding temperature failure rate based on the winding duration and the alarm duration with respect to the winding temperature; Calculating a bearing vibration failure rate based on an alarm duration for the bearing vibration and the bearing vibration; Calculating a bearing temperature failure rate based on an alarm duration for the bearing temperature and the bearing temperature; Calculating a rated voltage failure rate based on an alarm duration with respect to the rated voltage and the rated voltage; Calculating a rated current failure rate based on the alarm duration for the rated current and the rated current; Calculating a start-up voltage failure rate based on the start-up voltage and the number of sustain alerts on the start-up voltage; Calculating a starting current failure rate based on the number of continuous alarms for the starting current and the starting current; Calculating a starting torque failure rate based on the number of continuous alarms for the starting torque and the starting torque; And the control section calculates the life of the stator winding based on the calculated winding temperature failure rate, bearing vibration failure rate, bearing temperature failure rate, rated voltage failure rate, rated current failure rate, starting voltage failure rate, starting current failure rate, starting torque failure rate, And calculating a rate of the rate of change.

The present invention further includes the step of calculating the design life rate of the stator winding based on the operation time of the high-voltage electric motor, the number of times of starting the high-voltage electric motor, the design life of the stator winding, and the design frequency of the stator winding Wherein the controller is configured to calculate the life rate of the stator windings based on at least one of the winding temperature failure rate, the bearing vibration failure rate, the bearing temperature failure rate, the rated voltage failure rate, the rated current failure rate, the starting voltage failure rate, the starting current failure rate, The lifetime of the stator winding is calculated by subtracting the values obtained by multiplying the number of times of startup by the respective weights from the design life ratio.

In the present invention, the step of calculating the service life rate may include: calculating the rated voltage failure rate based on the alarm duration with respect to the rated voltage and the rated voltage; Calculating a rated current failure rate based on the alarm duration for the rated current and the rated current; Calculating a start-up voltage failure rate based on the start-up voltage and the number of sustain alerts on the start-up voltage; Calculating a starting current failure rate based on the number of continuous alarms for the starting current and the starting current; Calculating a starting torque failure rate based on the number of continuous alarms for the starting torque and the starting torque; And calculating the lifetime of the rotor winding on the basis of the calculated rated voltage failure rate, rated current failure rate, starting voltage failure rate, starting current failure rate, and starting torque failure rate calculated by the control unit.

The control unit may further include a step of calculating a design life ratio of the rotor winding based on an operation time of the high-voltage electric motor and a design life of the rotor winding, wherein the life span of the rotor winding is calculated The control unit calculates the lifetime of the rotor winding by subtracting the values obtained by multiplying the rated voltage failure rate, the rated current failure rate, the starting voltage failure rate, the starting current failure rate, and the starting torque failure rate by respective weights, .

In the present invention, the step of calculating the service life rate may include calculating the bearing vibration failure rate based on the alarm duration for the bearing vibration and the bearing vibration; And the control unit calculates the life ratio of the bearing based on the calculated bearing vibration failure rate.

The control unit may further include a step of calculating a design life rate of the bearing based on an operation time of the high-voltage electric motor and a design life of the bearing, wherein in the step of calculating the life rate of the bearing, And a life rate of the bearing is calculated by subtracting a value obtained by multiplying the bearing vibration failure rate by a weight, from the design life rate.

In the present invention, the step of calculating the service life rate may include calculating the bearing vibration failure rate based on the alarm duration for the bearing vibration and the bearing vibration; And the controller calculates the life rate of the rotor shaft based on the calculated bearing vibration failure rate.

According to the present invention, the control unit may further include a step of calculating a design lifetime of the rotor shaft based on an operation time of the high-voltage electric motor and a design life of the rotor shaft, Wherein the control unit calculates a life rate of the rotor shaft by subtracting a value obtained by multiplying the bearing vibration failure rate by a weight, from the design life rate.

The method for predicting life span of a high-voltage electric motor according to the present invention may further include the step of the controller outputting at least one of the calculated stator winding life span, rotor winding life span, bearing life span, and rotor shaft life span .

The method for predicting the service life of a high-voltage electric motor according to the present invention has an effect of managing the service life of high-voltage electric motor components by calculating the life rate of stator windings, rotor windings, bearings and rotor shafts.

1 is a diagram illustrating a configuration of an apparatus for implementing a method for predicting the life span of a high-voltage electric motor according to an embodiment of the present invention.
2 is a flowchart illustrating a method for estimating the life prediction of a high-voltage electric motor according to an embodiment of the present invention.
3 is an exemplary diagram illustrating a screen in which diagnostic data is output in the high-voltage motor life predicting method according to an embodiment of the present invention.
FIG. 4 is a diagram illustrating a screen for outputting diagnostic data in the high-voltage motor life predicting method according to an exemplary embodiment of the present invention. Referring to FIG.
FIG. 5 is another exemplary diagram illustrating a screen in which diagnostic data is output in the high-voltage motor life predicting method according to an embodiment of the present invention.
FIG. 6 is an exemplary diagram illustrating a screen in which partial discharge data is output in the high-voltage motor life predicting method according to an embodiment of the present invention.
FIG. 7 is an exemplary diagram illustrating a screen for receiving a maintenance history in the method for predicting the life of a high-voltage electric motor according to an embodiment of the present invention. Referring to FIG.
8 is an exemplary diagram illustrating a screen for outputting a maintenance history in the high-voltage electric motor life predicting method according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of a high-voltage electric motor life prediction diagnosis method according to the present invention will be described with reference to the accompanying drawings. In this process, the thicknesses of the lines and the sizes of the components shown in the drawings may be exaggerated for clarity and convenience of explanation. In addition, the terms described below are defined in consideration of the functions of the present invention, which may vary depending on the intention or custom of the user, the operator. Therefore, definitions of these terms should be made based on the contents throughout this specification.

1 is a diagram illustrating a configuration of an apparatus for implementing a method for predicting the life span of a high-voltage electric motor according to an embodiment of the present invention. 1, an apparatus for predicting the life expectancy of a high-voltage electric motor according to an embodiment of the present invention includes a control unit 100, a high-voltage electric motor 110, a measurement device 120, and a data acquisition device DAQ : Data acquisition (130).

The high-voltage electric motor 110 is installed in a power plant, an industrial facility, or the like, and can generate power or generate power by application of power. The high-voltage electric motor 110 includes a stator having a coil wound therein, a rotor disposed inside the stator, a rotor shaft inserted into the rotor, and a bearing coupled to the rotor shaft so that the rotor shaft can be rotatably supported. As shown in FIG.

The measuring apparatus 120 can measure the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current, and the starting torque of the high-voltage electric motor 110. That is, the measuring device 120 measures the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current, and the starting torque of the high-voltage electric motor 110 through a plurality of sensors installed in the high- can do.

The data collection device 130 collects the measurement data measured by the measurement device 120. That is, the data collecting apparatus 130 may be configured to collect data from a plurality of measuring apparatuses connected to different high-voltage motors. In addition, the data collection device 130 may transmit the collected data to a high-level monitoring system, a server, and the like.

The control unit 100 may perform a life prediction prediction diagnosis method of the high voltage electric motor based on the data input from the data collection unit 130. [

FIG. 2 is a flowchart illustrating a method for predicting the life expectancy of a high-voltage electric motor according to an exemplary embodiment of the present invention. FIG. 3 is a flowchart illustrating a method of diagnosing high-voltage electric motor life according to an exemplary embodiment of the present invention. FIG. 4 is a view illustrating another example of a screen for outputting diagnostic data in the high-voltage motor life predicting method according to an embodiment of the present invention. FIG. FIG. 6 is a diagram illustrating a screen for outputting partial discharge data in the high voltage motor life prediction diagnosis method according to an exemplary embodiment of the present invention. FIG. FIG. 7 is a view illustrating a screen for inputting a maintenance history in the method for predicting the life expectancy of a high-voltage electric motor according to an embodiment of the present invention. 8 is a view for explaining a screen for outputting the maintenance history in the high-voltage motor life prediction diagnosis method according to an embodiment of the present invention. Referring to FIG. 8, The predictive diagnosis method is as follows.

As shown in FIG. 2, the control unit 100 receives the number of starting times of the high-voltage electric motor 110, the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current and the starting torque S200). For example, the control unit 100 receives the number of times of starting the high-voltage electric motor 110, the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current and the starting torque from the data collecting apparatus 130 . In addition, the control unit 100 may receive the operation time of the high-voltage electric motor from the data collection device 130. [

Then, the control unit 100 controls the winding of the high-voltage electric motor 110 based on the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current and the starting torque of the high-voltage electric motor 110, The failure rate of each of the temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current and the starting torque is calculated (S210). In step S210, the controller 100 calculates a winding temperature failure rate based on the winding temperature inputted in the step S200, and calculates a bearing vibration failure rate based on the bearing vibration inputted in the step S200 . That is, the control unit 100 calculates the respective failure rates based on the measured values of the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current and the starting torque.

For example, the control unit 100 may calculate the winding temperature failure rate based on the winding temperature and the warning duration with respect to the winding temperature. That is, the control unit 100 can calculate the winding temperature failure rate through the calculation as shown in the following Equation (1).

That is, the control unit 100 can calculate the winding temperature failure rate by multiplying the value obtained by dividing the winding temperature measurement value by the reference value, the value obtained by dividing the warning duration with respect to the winding temperature by the reference time, and converting the result into a percentage ratio. Here, the reference value is basically preset as a reference for the steady-state value of the winding temperature, and may be designed to various values according to the specification of the high-voltage electric motor 110. The duration of the alarm also means the duration of the alarm for the winding temperature. That is, the control unit 100 can output an alarm when the measured winding temperature exceeds a preset caution or a danger reference value. At this time, when the alarm is continued, it means that the alarm occurs more than a predetermined number of times during the measurement of the reference number. For example, if an alarm occurs more than seven times in 10 measurements, the alarm is regarded as continuing. The reference time is basically preset as a criterion for the limit of the alarm duration and can be designed to various values according to the specifications of the high-voltage electric motor 110. [ That is, if the alarm duration reaches the reference time, the value is no longer increased and the reference time is maintained until the alarm is not maintained.

Also, the controller 100 can calculate the failure rate of the bearing vibration, the bearing temperature, the rated voltage, and the rated current in the same manner as the calculation of the winding temperature failure rate described above. That is, the controller 100 can calculate the failure rate of the winding temperature, the bearing vibration, the bearing temperature, the rated voltage, and the rated current through the calculation as in Equation (1). However, at this time, the definition criteria of the bearing vibration, the bearing temperature, the rated voltage, the reference value of each of the rated current, the reference time, and the alarm duration may vary. For example, the reference time of the winding temperature may be set to 7 days, the reference time of the bearing vibration may be set to 3 days, and the reference time of the rated voltage may be set to 20 days.

In addition, the controller 100 can estimate the life of the stator by monitoring the degree of deterioration of the stator through monitoring of the partial discharge. At this time, the control unit 100 predicts the life of the stator by classifying the fault type of the stator into three types: an aperiodic rise, a steady rise, and an initial rise.

First, the non-periodic rise means that the total average value of the partial discharge is maintained at a stable value, but the data of the partial discharge increases non-periodically.

Hz)로 일정기간동안(예 : 1년) 측정된 부분방전 데이터에

Hz를 차단주파수(cut off frequency)로 하고 12차 오더를 갖는 Hamming Window 기반의 FIR 필터를 적용한 뒤, 하향 피크에서 다음 하향 피크를 한주기로 보아 다음의 수학식 2와 같은 계산을 통해 고정자의 비주기 상승분 노후율을 계산할 수 있다.At this time, the control unit 100 determines a sampling rate (e.g.,

Hz) to the partial discharge data measured for a certain period of time (for example, 1 year)

A Hamming Window-based FIR filter having a 12-order order is used as a cutoff frequency, and the following downward peak is taken as a one-week period from the downward peak to the non- You can calculate the rise and fall rate.

(Where m is the number of cycles, Sa [n] is the slope average for each cycle (upward peak at the down peak, average downward peak at the upward peak), Sd [n] is the number of samples per cycle, Vf is the non- Vt is the non-periodic rise-up obsolescence rate, and δ is the observer's maximum obsolescence rate (which can be determined experimentally)

Next, the continuous rise means that the partial discharge data is formed below the alarm value but shows a continuous increase trend over a certain period of time (for example, 10 days).

At this time, the controller 100 calculates the daily average partial discharge data of the rising section and calculates the lifetime prediction rate according to the continuous rising rate and the continuous rising rate through the calculation as shown in the following Equation (3).

는 지수 팩터 (실험으로 결정될 수 있음), v는 지속적 상승률, Tp는 지속적 상승에 따른 수명 예측률)(Where d is the number of consecutive increment days, S [n] is the daily increment Slope, δ is the weight factor (can be determined experimentally)

Is the exponential factor (which can be determined experimentally), v is the sustained rate of rise,

Finally, the startup initial rise means that the increase width of the partial discharge data at the start of operation is much larger than the average value.

At this time, the controller 100 may calculate the initial starting peak deterioration rate using the data of the entire section and calculating the following equation (4).

는 연간 데이터 취득 개수, m는 취득된 데이터 전체 개수, δ는 피크 보정값(실험으로 결정될 수 있음),

는 초기 기동 피크율,

는 초기 기동 피크 노후화율)(Where Sp is the average of all data, d [n]

M is the total number of acquired data,? Is a peak correction value (can be determined experimentally),?

Is the initial start peak rate,

Is an initial starting peak aging rate)

Since the starting voltage, the starting current, and the starting torque are not parameters depending on the continuous operation of the high-voltage electric motor 110 but are generated according to the starting of the high-voltage electric motor, the controller 100 calculates the alarm duration and the reference time To calculate the failure rate of the starting voltage, the starting current, and the starting torque, respectively. That is, the controller 100 calculates the failure rate of the starting voltage, the starting current, and the starting torque, respectively, by calculating the following equation (5).

At this time, the calculation of the starting voltage failure rate, the starting current failure rate, and the starting torque failure rate of the control unit 100 can be explained in the same manner as the above-described calculation of the winding temperature failure rate. In this case, however, the reference value (the reference frequency and the constant frequency) of the reference value, the reference frequency, and the alarm continuation frequency for the starting voltage, the starting current, and the starting torque may be different.

The duration of the alarm and the duration of the alarm can be reduced to a value of half at the time of restarting the high-voltage electric motor 110, and can be initialized when a replacement of each component of the high-voltage electric motor 110 occurs.

After the step S210, the controller 100 calculates the failure rate of each of the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current and the starting torque of the high- The lifetime of each of the stator winding, the rotor winding, the bearing, and the rotor shaft is calculated (S220). Here, the lifetime rate means a predicted value for the remaining lifetime with an initial value of 100%.

For example, the control unit 100 calculates the design life cycle of the stator windings based on the operation time of the high-voltage motor 110, the number of times of starting the high-voltage electric motor 110, the design life of the stator windings, and the design frequency of the stator windings, And the number of times of starting the high-voltage electric motor 110 multiplied by the respective weights are calculated from the calculated values of the windings temperature failure rate, the bearing vibration failure rate, the bearing temperature failure rate, the rated voltage failure rate, the rated current failure rate, the startup voltage failure rate, The life cycle of the stator winding can be calculated by subtracting the design life cycle of the stator winding.

More specifically, the control unit 100 can calculate the design life ratio of the stator winding through the calculation expressed by Equation (6).

Here, the design life (for example, 30 years) and the design frequency (for example, 5000) are basically set in advance, and can be designed to various values according to the specification of the high-voltage electric motor 110. [ That is, the controller 100 can select a smaller value among the lifetime calculated based on the operation time of the high-voltage electric motor 110 and the number of times of starting the high-voltage electric motor 110 among the design life rate.

The control unit 100 calculates the failure rate of the stator windings based on the design lifetime of the stator windings, such as the winding temperature failure rate, the bearing vibration failure rate, the bearing temperature failure rate, the rated voltage failure rate, the rated current failure rate, the starting voltage failure rate, 110) can be calculated by subtracting the values obtained by multiplying the number of starts of the stator winding by the respective weights.

Also, the controller 100 can calculate the design life ratio of each of the rotor windings, bearings, and rotor shafts through the calculation as shown in Equation (7).

However, the design life for stator windings, rotor windings, bearings and rotor axes, respectively, may vary. For example, the design life of a rotor winding can be 30 years, and the design life of a bearing can be designed to 100,000 hours. On the other hand, the operation time and the number of start times can be initialized when replacement of each component of the high-voltage electric motor 110 occurs.

The control unit 100 deducts the values obtained by multiplying the rated voltage failure rate, the rated current failure rate, the starting voltage failure rate, the starting current failure rate, and the starting torque failure rate by the respective weights at the designed life span of the rotor winding, The rate can be calculated. In addition, the controller 100 can calculate the lifetime of the bearing by subtracting the value obtained by multiplying the bearing vibration failure rate by the weight of the bearing at the design life time of the bearing, subtracting the value obtained by multiplying the bearing vibration failure rate by the weight at the design life- The life rate of the rotor shaft can be calculated.

However, in calculating the lifetime of each of the stator windings, rotor windings, bearings, and rotor shafts, the weights may be different for each component (stator winding, rotor winding, bearing, rotor shaft) The present invention can be varied depending on the object (winding temperature failure rate, bearing vibration failure rate, bearing temperature failure rate, rated voltage failure rate, rated current failure rate, starting voltage failure rate, starting current failure rate, starting torque failure rate, In addition, the weight may vary depending on the elapsed driving time of the high-voltage electric motor 110.

After the step S220, the controller 100 outputs the life ratio calculated in the step S220 (S230). That is, the controller 100 outputs the stator winding life rate, the rotor winding life cycle rate, the bearing life cycle rate, and the rotor shaft life cycle rate display device calculated in the step S220, Provide predictive management.

If the stator winding life span, the rotor winding life span, the bearing life span, and the rotor shaft life span ratio, which are calculated in the above step S220, exceed the respective warning values, the controller 100 controls the alarm It can also output a warning to the user.

In addition, the controller 100 subtracts the winding temperature failure rate, the bearing vibration failure rate, the bearing temperature failure rate, the rated voltage failure rate, the rated current failure rate, the starting voltage failure rate, the starting current failure rate, and the starting torque failure rate calculated in step S210 from 100% The values can be defined as winding temperature life cycle, bearing vibration life cycle rate, bearing temperature life cycle rate, rated voltage life cycle rate, rated current life cycle rate, starting voltage life cycle rate, starting current life cycle rate and starting torque life cycle rate, have.

3 to 8, the controller 100 controls the operation of the high-voltage electric motor 110, the system communication state, and the diagnostic data (measured value, service life rate) and the like So that the user can monitor it. Also, the controller 100 outputs the winding temperature life rate, the bearing vibration life cycle rate, the bearing temperature life cycle rate, the rated voltage life cycle rate, the rated current life cycle rate, the starting voltage life cycle rate, the starting current life cycle rate, You can also have the user monitor the status and lifetime predictions for each part. In addition, the control unit 100 may output a trend of the diagnostic data with respect to time so that the user can compare and analyze the change.

Also, the controller 100 may output the graph of the 3D data (Qm, Count, phase) of the stator partial discharge so that the user can grasp the generation position of the partial discharge and the generation pattern of the partial discharge. At this time, the control unit 100 can load 3D data stored in the DB every one hour and display it in a graph. Also, the control unit 100 can display past 3D data and present 3D data. You can show it.

On the other hand, the user can conveniently input maintenance history such as serial number, item, model No., manufacturer, specification, production date, production year, work date and work contents of the high-voltage electric motor 110 And the maintenance history can be confirmed through the output screen. Meanwhile, maintenance of the device can be divided into replacement and maintenance of parts, and the control unit 100 can reflect the replacement history of parts in the life prediction diagnosis of the high-voltage electric motor 110. [

As described above, according to the method of predicting the life span of the high-voltage electric motor according to the embodiment of the present invention, the lifetime of the components of the high-voltage electric motor can be managed by calculating the life rate of the stator windings, the rotor windings, To optimize the timing, and to contribute to the safe operation of power generation facilities.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. I will understand. Accordingly, the technical scope of the present invention should be defined by the following claims.

100:
110: High voltage motor
120: Measuring device
130: DAQ

Claims (10)

delete Receiving a measured value of at least one of the number of times of starting the high-voltage electric motor, the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current and the starting torque; And
The control unit calculating the life rate of the stator winding of the high-voltage electric motor based on the input measured value,
The step of calculating the life rate may comprise:
Calculating a winding temperature failure rate based on the winding temperature and the warning duration with respect to the winding temperature;
Calculating a bearing vibration failure rate based on an alarm duration for the bearing vibration and the bearing vibration;
Calculating a bearing temperature failure rate based on an alarm duration for the bearing temperature and the bearing temperature;
Calculating a rated voltage failure rate based on an alarm duration with respect to the rated voltage and the rated voltage;
Calculating a rated current failure rate based on the alarm duration for the rated current and the rated current;
Calculating a start-up voltage failure rate based on the start-up voltage and the number of sustain alerts on the start-up voltage;
Calculating a starting current failure rate based on the number of continuous alarms for the starting current and the starting current;
Calculating a starting torque failure rate based on the number of continuous alarms for the starting torque and the starting torque; And
The control unit calculates a life rate of the stator winding based on the calculated winding temperature failure rate, bearing vibration failure rate, bearing temperature failure rate, rated voltage failure rate, rated current failure rate, starting voltage failure rate, starting current failure rate, starting torque failure rate, And estimating the life expectancy of the high-voltage electric motor.
3. The method of claim 2,
The step of calculating the design life rate of the stator winding on the basis of the operation time of the high voltage motor, the number of starts, the design life of the stator windings, and the design frequency of the stator windings before calculating the life rate of the stator windings Further included,
In the step of calculating the life rate of the stator windings, the control unit calculates the life rate of the stator windings based on the winding temperature failure rate, the bearing vibration failure rate, the bearing temperature failure rate, the rated voltage failure rate, the rated current failure rate, the starting voltage failure rate, the starting current failure rate, Wherein the lifetime of the stator winding is calculated by subtracting the values obtained by multiplying the values by the respective weights by the design lifetime ratio.
Receiving a measured value of at least one of the number of times of starting the high-voltage electric motor, the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current and the starting torque; And
The control unit calculating the life rate of the rotor winding of the high-voltage electric motor based on the input measured value,
The step of calculating the life rate may comprise:
Calculating a rated voltage failure rate based on an alarm duration with respect to the rated voltage and the rated voltage;
Calculating a rated current failure rate based on the alarm duration for the rated current and the rated current;
Calculating a start-up voltage failure rate based on the start-up voltage and the number of sustain alerts on the start-up voltage;
Calculating a starting current failure rate based on the number of continuous alarms for the starting current and the starting current;
Calculating a starting torque failure rate based on the number of continuous alarms for the starting torque and the starting torque; And
And the controller calculates the life rate of the rotor winding based on the calculated rated voltage failure rate, rated current failure rate, starting voltage failure rate, starting current failure rate, and starting torque failure rate, Diagnostic method.
5. The method of claim 4,
Further comprising a step of calculating the design life cycle of the rotor winding based on the operation time of the high-voltage electric motor and the design life of the rotor winding, before the step of calculating the life rate of the rotor winding,
In the step of calculating the life rate of the rotor winding, the control unit calculates values obtained by multiplying the rated voltage failure rate, the rated current failure rate, the starting voltage failure rate, the starting current failure rate, and the starting torque failure rate by respective weights, To calculate the life rate of the rotor winding.
Receiving a measured value of at least one of the number of times of starting the high-voltage electric motor, the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current and the starting torque; And
Wherein the control unit calculates the life rate of the bearing of the high-voltage electric motor based on the input measured value,
The step of calculating the life rate may comprise:
Calculating a bearing vibration failure rate based on an alarm duration for the bearing vibration and the bearing vibration; And
Wherein the control unit calculates the lifetime of the bearing based on the calculated bearing vibration failure rate.
The method according to claim 6,
Further comprising the step of calculating the design life rate of the bearing based on the operation time of the high-voltage electric motor and the design life of the bearing, before the step of calculating the life rate of the bearing,
Wherein the control unit calculates a lifetime of the bearing by subtracting a value obtained by multiplying a bearing vibration failure rate by a weight, from the design life cycle rate, in calculating the life rate of the bearing.
Receiving a measured value of at least one of the number of times of starting the high-voltage electric motor, the winding temperature, the bearing vibration, the bearing temperature, the starting voltage, the starting current, the rated voltage, the rated current and the starting torque; And
The control unit calculating the life rate of the rotor shaft of the high-voltage electric motor based on the input measured value,
The step of calculating the life rate may comprise:
Calculating a bearing vibration failure rate based on an alarm duration for the bearing vibration and the bearing vibration; And
And the controller calculates the life rate of the rotor shaft based on the calculated bearing vibration failure rate.
9. The method of claim 8,
Before the step of calculating the life rate of the rotor shaft, the control unit calculates the design life ratio of the rotor shaft based on the operation time of the high-voltage electric motor and the design life time of the rotor shaft,
Wherein the control unit calculates a life rate of the rotor shaft by subtracting a value obtained by multiplying a bearing vibration failure rate by a weighted value at the design life cycle rate in the step of calculating the life rate of the rotor shaft, Way. delete

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