CN116735171A - Fracturing pump fault diagnosis method, computing equipment and readable storage medium - Google Patents

Fracturing pump fault diagnosis method, computing equipment and readable storage medium Download PDF

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Publication number
CN116735171A
CN116735171A CN202310497677.XA CN202310497677A CN116735171A CN 116735171 A CN116735171 A CN 116735171A CN 202310497677 A CN202310497677 A CN 202310497677A CN 116735171 A CN116735171 A CN 116735171A
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China
Prior art keywords
torque
fracturing pump
duty ratio
output torque
fracturing
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CN202310497677.XA
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Chinese (zh)
Inventor
李魁
马会明
李冬冬
余志涛
陈帅
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Sany Energy Equipment Co ltd
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Sany Energy Equipment Co ltd
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Priority to CN202310497677.XA priority Critical patent/CN116735171A/en
Publication of CN116735171A publication Critical patent/CN116735171A/en
Pending legal-status Critical Current

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B51/00—Testing machines, pumps, or pumping installations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L3/00—Measuring torque, work, mechanical power, or mechanical efficiency, in general
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Control Of Positive-Displacement Pumps (AREA)

Abstract

The invention provides a fracturing pump fault diagnosis method, computing equipment and a readable storage medium, and relates to the related field of fracturing pumps, wherein the method comprises the following steps: selecting abnormal output torque in a torque set based on the deviation between the output torque of the motor and a preset standard torque, and calculating the duty ratio of at least one abnormal output torque in the torque set; and when the duty ratio exceeds a preset threshold value, judging that the fracturing pump is in a fault state. Only the output torque of the motor in the fracturing sledge is monitored, a plurality of vibration sensors are not required to be installed in the fracturing sledge, and hardware cost is reduced; in the process of analyzing, the operation characteristics of the motor in the time dimension are considered, the output torque condition at one time point is not analyzed, the accuracy and the compatibility of fault diagnosis are improved, and the times of fault early warning and false alarm are reduced.

Description

Fracturing pump fault diagnosis method, computing equipment and readable storage medium
Technical Field
The invention relates to the technical field of fracturing pumps, in particular to a fracturing pump fault diagnosis method, computing equipment and a readable storage medium.
Background
The electric drive fracturing pump drives the fracturing pump through a motor, and the traditional diesel engine drive is changed into the motor direct drive. The alternating current generated by the generator is converted into direct current through the rectifying device, the direct current drives the motor to operate through the power device, and the controller controls the on time of the power device to control the output voltage of the motor, so that the rotating speed of the motor is controlled, and the fracturing pump is driven to work. The electrically driven fracturing equipment can bring remarkable economic benefit and excellent environmental protection, and can gradually replace the fracturing equipment in the traditional diesel engine driving mode.
In order to ensure the stable operation of the electrically driven fracturing pump, the operation state of the electrically driven fracturing pump needs to be monitored in the operation process of the electrically driven fracturing pump, and the current operation condition of the fracturing pump is judged according to the obtained monitoring data. In the prior art, a vibration detection technology is generally adopted, and after the collected vibration signals are processed through vibration signals of vibration sensor measuring equipment, the real-time vibration signals are compared with fault characteristic signals, so that whether the fracturing pump stably operates at each moment is judged.
However, the existing detection technology has certain defects, on one hand, the hardware cost of the sensor is too high, and the large-scale popularization and application are not possible. On the other hand, because the electric drive fracturing pump is influenced by surrounding equipment and environment in the operation process, occasional transient unstable operation can occur, and the subsequent safe operation of the equipment is not influenced, under the condition, the time can still be judged as the fault time by the prior art, so that the equipment is controlled to stop or the fault occurs at the time is recorded, and the continuous operation of the electric drive fracturing pump is not facilitated or the use performance of the electric drive fracturing pump is not accurately analyzed.
Disclosure of Invention
The invention aims to solve the problems that the existing detection and diagnosis technology has higher hardware cost, can judge sporadic transient unstable operation as the fault of the electrically driven fracturing pump, and is not beneficial to accurately analyzing the service performance of the electrically driven fracturing pump.
In order to solve the above problems, in one aspect, the present invention provides a fault diagnosis method for a fracturing pump, including:
selecting abnormal output torque in a torque set based on the deviation between the output torque of the motor and a preset standard torque, and calculating the duty ratio of at least one abnormal output torque in the torque set;
and when the duty ratio exceeds a preset threshold value, judging that the fracturing pump is in a fault state.
Optionally, the selecting the abnormal output torque in the torque set based on the deviation between the motor output torque and the preset standard torque, and calculating the duty ratio of at least one abnormal output torque in the torque set includes:
analyzing the deviation between each output torque and a torque mean in the torque set;
the offset is compared to an offset threshold to determine a duty cycle of the abnormal output torque in the torque set.
Optionally, the comparing the deviation amount with a deviation threshold value to determine a duty ratio of the abnormal output torque in the torque set includes:
when the deviation amount is smaller than the deviation threshold value, recording the output torque corresponding to the deviation amount as the abnormal output torque, and counting the number of the abnormal output torques;
and analyzing the duty ratio of the quantity of the abnormal output torque to the total data quantity of the torque set.
Optionally, when the duty ratio exceeds a preset threshold, determining that the fracturing pump is in a fault state includes:
the preset threshold value comprises a plurality of duty ratio sub-threshold values, the duty ratio sub-threshold values are sequentially arranged from small to large, two adjacent duty ratio sub-threshold values form a duty ratio threshold value range, and different duty ratio threshold value ranges correspond to different fault levels;
when the duty ratio is within one of the duty ratio threshold ranges, determining that the fracturing pump is in the fault state;
and correspondingly determining the fault level of the fracturing pump according to the duty ratio threshold range where the duty ratio is located.
Optionally, before analyzing the deviation between each output torque in the torque set and the torque average, the method further includes:
acquiring the output torque of the motor in the fracturing sledge to form the torque set;
and analyzing the average value of all data in the torque set, and recording the average value as the torque average value.
Optionally, the analyzing the average value of all the data in the torque set, before recording the average value of the torque, further includes:
and data preprocessing is carried out on the torque set.
Optionally, after the obtaining the output torque of the motor in the fracturing sledge and forming the torque set, the method further includes:
uploading the torque set into a digital twin platform of the fracturing pump.
Optionally, after determining that the fracturing pump is in the fault state when the duty ratio exceeds a preset threshold, the method further includes:
and generating a fault alarm signal when the fracturing pump is judged to be in the fault state.
In a second aspect, the present invention further provides a computing device, including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, where the processor executes the computer program to implement the method for diagnosing a fault of a fracturing pump.
In a third aspect, the present invention also provides a computer readable storage medium, on which a computer program is stored, characterized in that the above-mentioned fracturing pump fault diagnosis method is implemented when the computer program is executed by a processor.
Compared with the prior art, the invention has the following beneficial effects:
according to the fracturing pump fault diagnosis method, the computing equipment and the readable storage medium, provided by the invention, the output torque of the motor in the fracturing sledge is monitored, additional sensors and related equipment are not needed, the fracturing pump fault diagnosis and prediction are realized under the condition that the additional cost is not increased, and the technical popularization is facilitated. In addition, abnormal output torque in a torque set is selected based on the deviation between the motor output torque and a preset standard torque, and the duty ratio of at least one abnormal output torque in the torque set is calculated; and the operation characteristics of the motor in the time dimension are considered in the analysis process, rather than only the output torque condition at one time point is analyzed, so that the accidental abnormal torque output by the motor in the fracturing sledge is prevented from being misjudged as a fault, and when the duty ratio is larger than the duty ratio threshold value, the fracturing pump is judged to be in a fault state, the accuracy and the compatibility of fault diagnosis are improved, and the number of fault early warning misinformation is reduced.
Drawings
FIG. 1 shows a schematic flow chart of a method for fault diagnosis of a fracturing pump in an embodiment of the invention;
FIG. 2 is a graph showing the variation of motor output torque in a fracturing sled under normal conditions in accordance with an embodiment of the present invention;
FIG. 3 illustrates a graph of motor output torque variation in a fracturing sled during a fault condition in an embodiment of the present invention;
fig. 4 shows a graph of deviation statistics analysis in an embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
It is noted that the terms "first," "second," and the like in the description and claims of the invention and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein.
In the description of the present specification, the descriptions of the terms "embodiment," "one embodiment," and the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or embodiment is included in at least one embodiment or illustrated embodiment of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same examples or implementations. Furthermore, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or implementations.
In fault diagnosis of the fracturing pump, stable operation of a driving source in the fracturing sledge is guaranteed, normal operation of a motor in the fracturing sledge is guaranteed for the electrically-driven fracturing pump, and stable pressure and the like can be provided for the fracturing pump only when the motor in the fracturing sledge is in a normal operation condition. Therefore, the monitoring and diagnosis of the running condition of the motor in the fracturing sledge is one of the monitoring and diagnosis contents for diagnosing whether the fracturing pump fails.
Fig. 1 shows a flow chart of a fault diagnosis method for a fracturing pump in an embodiment of the present invention, where the fault diagnosis method for the fracturing pump includes:
s1: selecting abnormal output torque in a torque set based on the deviation between the output torque of the motor and a preset standard torque, and calculating the duty ratio of at least one abnormal output torque in the torque set;
in general, the deviation is directly used to directly determine the operation condition of the motor at the current moment, for example, when the deviation is greater than a specified value, the motor is determined to be in a fault state, which may cause misjudgment of the operation condition of the motor, because the output torque at the current moment is possibly only an occasional transient mutation value, which is caused by the influence of the surrounding environment or surrounding equipment, and is not caused by the failure of the motor itself, and the occasional transient mutation value will disappear at the next moment, and will not affect the normal operation of the motor next time. And (3) screening abnormal output torque from a torque set (namely a plurality of output torques in a period of time) by utilizing the deviation between the output torque of the motor and the preset standard torque, then calculating the duty ratio of the abnormal output torque in the torque set, and considering and evaluating the output state of the motor in a period of time as a whole, so that the evaluation result is more accurate, and the erroneous judgment is reduced.
S2: and when the duty ratio exceeds a preset threshold value, judging that the fracturing pump is in a fault state.
Specifically, different pressure conditions correspond to different duty cycle thresholds, e.g., at a displacement of 1.0m 3 In the working condition that the working pressure is 10Mpa, the duty ratio threshold value can be set to be 30%; and at a displacement of 1.0m 3 In the working condition of 20Mpa, the duty ratio threshold may be set to 50%. Through analyzing the size relation between duty ratio and duty ratio threshold value, when knowing that a large amount of output torque abnormal conditions appear in the monitoring time period, just judge the motor in the fracturing sledge and break down, and then judge that the fracturing pump pumps out the trouble, when judging the fracturing pump is in the fault state, generate the trouble alarm signal to the staff is reminded to maintain and overhaul, in time eliminates the trouble, avoids causing great loss because of the trouble. The operation condition of the motor is analyzed by adopting the duty ratio of the abnormal output torque, the operation characteristics of the motor in the time dimension are considered in the analysis process, the output torque at the current moment is analyzed, the operation data before the current moment is considered, the operation condition of the motor is judged by comprehensive analysis, the accuracy of fault diagnosis is improved, and the times of fault early warning and false alarm are reduced.
In the embodiment, by combining the characteristics of the electrically driven fracturing pump, the output torque of the motor in the fracturing sledge is monitored, additional installation of sensors and related equipment are not needed, the fault diagnosis and prediction of the fracturing pump are realized under the condition of not increasing extra cost, and the technical popularization is facilitated. In addition, abnormal output torque in a torque set is selected based on the deviation between the motor output torque and a preset standard torque, and the duty ratio of at least one abnormal output torque in the torque set is calculated; and the operation characteristics of the motor in the time dimension are considered in the analysis process, rather than only the output torque condition at one time point is analyzed, so that the accidental abnormal torque output by the motor in the fracturing sledge is prevented from being misjudged as a fault, and when the duty ratio is larger than the duty ratio threshold value, the fracturing pump is judged to be in a fault state, the accuracy and the compatibility of fault diagnosis are improved, and the number of fault early warning misinformation is reduced.
In one embodiment of the present invention, the selecting the abnormal output torque in the torque set based on the deviation between the motor output torque and the preset standard torque, and calculating the duty ratio of at least one of the abnormal output torques in the torque set includes:
analyzing the deviation between each output torque and a torque mean in the torque set;
specifically, in a certain time period, continuously monitoring the output torque of the motor, calculating an average value of the output torque in the monitoring time period, recording the average value as a torque average value, at the moment, obtaining a difference between the output torque of the motor at each time point and the torque average value, taking an absolute value of the difference value, recording the absolute value as a deviation amount, and judging the degree of the deviation of the output torque of the motor at each time point from the torque average value.
The offset is compared to an offset threshold to determine a duty cycle of the abnormal output torque in the torque set.
In this embodiment, the comparing the deviation amount with a deviation threshold value to determine a duty ratio of the abnormal output torque in the torque set includes:
when the deviation amount is smaller than the deviation threshold value, recording the output torque corresponding to the deviation amount as the abnormal output torque, and counting the number of the abnormal output torques;
specifically, in the monitoring period, the data quantity of which the deviation amounts corresponding to the output torques at all time points are smaller than the deviation threshold value is counted, wherein the deviation threshold value is a preset value which is obtained by analysis from historical data and is verified to be effective through experiments. For example, at a displacement of 1.0m 3 In the working condition that the working pressure is 10Mpa, the deviation threshold value can be set to be 700N.m; and at a displacement of 1.0m 3 /min, the deviation threshold may be changed and may be set to 900n.m under the working pressure of 20 Mpa. Therefore, when fault diagnosis is carried out, different pressure working conditions correspond to different deviation thresholds. As shown in fig. 2, in the normal state, the output torque increases uniformly stepwise with the increase of the working time, in the fault state, as shown in fig. 3, the fluctuation of the output torque is larger with the increase of the working time, compared with the output torque in the normal state, the fluctuation of the output torque is larger and larger in each change stage, the torque average value of the output torque is pulled down until the condition that the output torque suddenly drops and decreases finally even occurs, so that the output torque of the motor in the fault state is closer to the torque average value than the output torque in the normal state, the calculated deviation amount in the opposite fault state can have a larger and smaller value, and according to the difference, the abnormal output torque is counted according to the comparison result of the deviation amount and the deviation threshold value, and whether the fracturing pump is in the fault state can be distinguished.
And analyzing the duty ratio of the quantity of the abnormal output torque to the total data quantity of the torque set.
Specifically, at a certain point or points in time, the occurrence of motor output torque anomalies may not be indicative of fracturing pump output failure, but during the monitoring period, when the motor output torque is in a condition close to the torque average for a long period of time, i.e., the amount of deviation is greater than the deviation threshold, it is indicated that the motor in the fracturing sled is most likely to be in a failure state. For example, in fig. 4, under normal conditions, the deviation amount corresponding to the output torque of the motor will not be less than about 700n.m, however, when the motor works under fault conditions, the deviation amount corresponding to the output torque of the motor will be more less than 700n.m, that is, the deviation amount is relatively large at this time, and when the abnormal output torque is relatively large, the probability that the motor is in a fault state is higher.
In one embodiment of the present invention, when the duty ratio exceeds a preset threshold, determining that the fracturing pump is in a failure state includes:
the preset threshold value comprises a plurality of duty ratio sub-threshold values, the duty ratio sub-threshold values are sequentially arranged from small to large, two adjacent duty ratio sub-threshold values form a duty ratio threshold value range, and different duty ratio threshold value ranges correspond to different fault levels. For example, the preset threshold includes a duty ratio sub-threshold of 30%, 45%, 60%, 70%, 80%, 100% in order from the small to the large. The range of the duty ratio threshold values formed by two adjacent duty ratio sub-threshold values is 30% -45%, 45% -60%, 60% -70%, 70% -80% and 80% -100% in sequence, the sequentially corresponding fault levels can be set as primary faults, secondary faults, tertiary faults, quaternary faults and five-level faults, and the severity of the faults is gradually increased.
Judging whether the duty ratio is in any duty ratio threshold range or not;
when the duty ratio is within one of the duty ratio threshold ranges, determining that the fracturing pump is in the fault state; when the duty ratio is not in any of the duty ratio threshold ranges, the duty ratio is less than or equal to 30%, namely the fracturing pump is in a normal state.
And correspondingly determining the fault level of the fracturing pump according to the duty ratio threshold range where the duty ratio is located. According to the corresponding relation between the duty ratio threshold range and the fault level, the corresponding fault level can be obtained from the corresponding duty ratio threshold range where the duty ratio is located.
In one embodiment of the present invention, before the analyzing the deviation between each output torque and the torque average in the torque set, the fracturing pump fault diagnosis method further includes:
acquiring the output torque of the motor in the fracturing sledge to form the torque set; the frequency of data acquisition can be controlled at 20HZ, the data volume is reduced, and the online cloud diagnosis is facilitated, wherein the output torque can be directly measured by a torque tester, and the torque of the motor can be calculated according to the motor power and the rotating speed. Furthermore, the data preprocessing can be performed on the torque set, so that data which are obviously inconsistent with normal conditions are removed, and the miscellaneous points are removed, so that the analysis result is more accurate.
Analyzing the average value of all data in the torque set, and recording the average value as the torque average value; and dividing the sum of all the output torques in the torque set by the number of all the output torques to obtain a torque average value.
In this embodiment, after the obtaining the output torque of the motor in the fracturing sledge and forming the torque set, the fracturing pump fault diagnosis method further includes:
uploading the torque set into a digital twin platform of the fracturing pump. The full life cycle data of the fracturing pump can be collected and accumulated, so that on-line monitoring can be realized, the full life cycle data of one fracturing pump can be shared into the operation monitoring of other fracturing pumps of the same type, the fracturing pump can be better monitored, the future operation trend and the operation condition of the fracturing pump can be predicted, and the technical popularization of the fracturing pump cluster can be conveniently realized.
For a better understanding of the above method, the following is exemplified in connection with a specific application scenario, with a displacement of 1.0m 3 For example, the output torque of the motor in the fracturing sled under the fracturing pump failure condition is analyzed as shown in tables 1 and 2 below.
Table 1 shows that the fracturing pump displacements are all 1.0m 3 The ratio conditions corresponding to different working pressures when the fracturing pump is in a normal state and in a fault state, wherein the numbers in brackets under each pressure value represent a deviation threshold value corresponding to each pressure value, for example, the deviation threshold value is 700N.m under the working pressure of 10 MPa; at an operating pressure of 30MPa, the deviation threshold is 1100N.m; at an operating pressure of 50MPa, the deviation threshold is 2200N.m or the like; the percentage of each working pressure below the column is the ratio of the abnormal output torque in the normal state and the fault state, for example, when the working pressure is 20MPa, the ratio of the abnormal output torque in the normal state of the motor is 1.27%, and the ratio of the abnormal output torque in the fault state is 51.71%.
TABLE 1 data analysis of output torque under fault conditions for different operating pressures
TABLE 2 output Torque analysis Table under failure condition at working pressure of 10MPa
As can be seen from table 1, when performing fault diagnosis, the deviation threshold and the duty ratio threshold generally show a rising trend with an increase in the working pressure of the fracturing pump, for example, when the working pressure increases from 10MPa to 50MPa, the pressure threshold increases gradually from 700n.m to 2200n.m, and the duty ratio increases gradually from thirty percent to about eighty percent; although the pressure threshold value still remains at 2200n.m and the duty cycle decreases when the operating pressure increases from 50MPa to 6MPa0, the pressure threshold value and the duty cycle at 60MPa still tend to increase compared to the pressure threshold value and the duty cycle at 40MPa and less than 40MPa, and therefore the deviation threshold value and the duty cycle threshold value generally show a tendency to increase with an increase in operating pressure, and slightly fluctuate, but do not affect the tendency to increase as a whole.
Overall analysis, in table 1, at a displacement of 1.0m 3 And/min, the working pressure is 10Mpa, the data quantity of which the deviation is smaller than 700N.m is more under the fault state of the fracturing pump, and the data accounts for 36.81 percent. As is clear from Table 1, the displacement is 1.0m 3 At/min, the motor output torque data can be used for fault diagnosis under the pressure of 10Mpa, and the motor output torque data under other pressures have the same effect, but the size of the duty ratio threshold is different.
Table 2 shows a fracturing pump displacement of 1.0m 3 And/min, under the working condition that the working pressure is 10MPa, analyzing the motor output torque obtained in different monitoring time periods, wherein the results comprise the number of abnormal output torque in torque data in different monitoring time periods, the total data amount of a torque set and the duty ratio condition. Analysis according to the above method can obtain the occupation of each time periodAnd (3) further refining and analyzing the numerical value of the ratio to verify whether the fault diagnosis method is equally applicable in a specific time period of a specific working condition. Displacement of 1.0m 3 As can be seen from the combination of FIG. 4 and Table 1, the deviation of the normal output torque is almost zero under 700N.m under the working condition of 10 MPa; in table 2, in the fault state, the duty ratio in different time periods is above 34%, which indicates that the fault diagnosis method is applicable in a shorter monitoring time period, and if the duty ratio threshold is set accordingly, not only the fault diagnosis can be performed, but also the duty ratio threshold can be further refined stepwise, and the severity of the fault can be judged by setting different duty ratio thresholds.
A computing device of another embodiment of the invention includes a memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements a fracturing pump fault diagnosis method as described above.
The computing device in the embodiment of the invention has similar technical effects to those of the fracturing pump fault diagnosis method, and is not described in detail herein.
A computer-readable storage medium of another embodiment of the present invention has stored thereon a computer program which, when executed by a processor, implements the fracturing pump failure diagnosis method as described above.
The computer readable storage medium of the present invention has similar technical effects to the fracturing pump fault diagnosis method, and will not be described in detail herein.
In general, computer instructions for implementing the methods of the invention may be carried in any combination of one or more computer-readable storage media. The non-transitory computer readable storage medium may include any computer readable medium, except for the transitory propagating signal itself.
The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" language or similar programming languages, and in particular, the Python language suitable for neural network computing and TensorFlow, pyTorch-based platform frameworks may be used. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.

Claims (10)

1. A fracturing pump failure diagnosis method, comprising:
selecting abnormal output torque in a torque set based on the deviation between the output torque of the motor and a preset standard torque, and calculating the duty ratio of at least one abnormal output torque in the torque set;
and when the duty ratio exceeds a preset threshold value, judging that the fracturing pump is in a fault state.
2. The fracturing pump failure diagnosis method of claim 1, wherein said selecting an abnormal output torque in a torque set based on a deviation between a motor output torque and a preset standard torque, and calculating a duty ratio of at least one of said abnormal output torques in said torque set comprises:
analyzing the deviation between each output torque and a torque mean in the torque set;
the offset is compared to an offset threshold to determine a duty cycle of the abnormal output torque in the torque set.
3. The fracturing pump failure diagnosis method of claim 2, wherein said comparing said deviation amount with a deviation threshold value to determine a duty cycle of said abnormal output torque in said torque set comprises:
when the deviation amount is smaller than the deviation threshold value, recording the output torque corresponding to the deviation amount as the abnormal output torque, and counting the number of the abnormal output torques;
and analyzing the duty ratio of the quantity of the abnormal output torque to the total data quantity of the torque set.
4. The fracturing pump failure diagnosis method of claim 1, wherein said determining that the fracturing pump is in a failure state when said duty cycle exceeds a preset threshold comprises:
the preset threshold value comprises a plurality of duty ratio sub-threshold values, the duty ratio sub-threshold values are sequentially arranged from small to large, two adjacent duty ratio sub-threshold values form a duty ratio threshold value range, and different duty ratio threshold value ranges correspond to different fault levels;
when the duty ratio is within one of the duty ratio threshold ranges, determining that the fracturing pump is in the fault state;
and correspondingly determining the fault level of the fracturing pump according to the duty ratio threshold range where the duty ratio is located.
5. The fracturing pump failure diagnosis method of claim 3, further comprising, prior to said analyzing said deviation between each output torque and torque mean in said torque set:
acquiring the output torque of the motor in the fracturing sledge to form the torque set;
and analyzing the average value of all data in the torque set, and recording the average value as the torque average value.
6. The fracturing pump failure diagnosis method of claim 5, wherein said analyzing an average of all data in said torque set, before noting as said torque average, further comprises:
and data preprocessing is carried out on the torque set.
7. The fracturing pump failure diagnosis method of claim 5, wherein said obtaining said output torque of said motor in a fracturing sled, after composing said torque set, further comprises:
uploading the torque set into a digital twin platform of the fracturing pump.
8. The fracturing pump failure diagnosis method of any of claims 1-7, wherein after determining that the fracturing pump is in a failure state when the duty cycle exceeds a preset threshold, further comprising:
and generating a fault alarm signal when the fracturing pump is judged to be in the fault state.
9. A computing device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the fracturing pump fault diagnosis method of any of claims 1-8.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the fracturing pump fault diagnosis method according to any of claims 1-8 is implemented when said computer program is executed by a processor.
CN202310497677.XA 2023-05-05 2023-05-05 Fracturing pump fault diagnosis method, computing equipment and readable storage medium Pending CN116735171A (en)

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CN202310497677.XA Pending CN116735171A (en) 2023-05-05 2023-05-05 Fracturing pump fault diagnosis method, computing equipment and readable storage medium

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