An intelligent induction motor drive fault prediction system

Abstract

The present invention relates to the technical field of motor drive fault prediction, and in particular to an intelligent induction motor drive fault prediction system, comprising: a data acquisition module, including a temperature acquisition unit, a vibration acquisition unit, a humidity acquisition unit and a cleanliness acquisition unit; a data storage module, for storing historical information collected by the data acquisition module; a fault analysis module, for determining whether the operation process of the intelligent induction motor meets the preset standard according to the average heating rate, the maximum amplitude and the frequency of overheating events, for determining the reason why the operation of the intelligent induction motor does not meet the preset standard according to the fault level ratio and adjusting the corresponding parameters, and for determining the correction method of the judgment standard of the intelligent induction motor according to the environmental evaluation value; a fault warning module, for displaying the judgment result output by the fault analysis module; an alarm module, for issuing an alarm. The present invention improves the fault prediction accuracy of the intelligent induction motor.

Description

Technical Field

[0001] The present invention relates to the technical field of motor drive fault prediction, and in particular to an intelligent induction motor drive fault prediction system. Background Art

[0002] Motor systems occupy a vital position in industrial and commercial applications. Their normal operation is crucial to production efficiency and equipment reliability. Any motor system failure may cause equipment downtime and production interruption, which in turn has a significant impact on production efficiency and economic benefits. Traditional fault diagnosis methods mainly rely on the experience of professional technicians and test instruments for fault analysis. This method is highly subjective, highly dependent and inefficient.

[0003] In modern industrial production, higher requirements are placed on the accuracy and efficiency of fault diagnosis, so traditional diagnostic methods have gradually become unable to meet the needs. With the development of artificial intelligence and big data technology, data-driven fault diagnosis and prediction technology has gradually emerged. By analyzing the operating data and characteristic parameters of the motor system, using machine learning and data mining technology, the fault mode and trend of the motor system can be effectively identified, the accuracy and efficiency of fault diagnosis can be improved, and the future operating status and possible faults of the motor system can be predicted, and preventive measures can be taken in advance to avoid or reduce the occurrence of faults.

[0004] Chinese Patent Publication No.: CN111190066B discloses a fault diagnosis method for a matrix converter motor drive system, which is based on model predictive control and includes: a matrix converter drives a permanent magnet synchronous motor system, and establishes an expected relationship model between output voltage and output current under normal working conditions and under fault conditions; according to the model after the fault, by obtaining the difference between the output current prediction value of the next sampling period after the fault and the previous period, two different fault identification conditions are obtained; if it is identified as a switch open circuit fault of the drive system, an estimated value of the output line voltage is obtained using the motor model, and then a residual and a threshold are defined. According to the characteristics that the switch state of the matrix converter controlled by the finite set model is known and fixed in a sampling period, the switch open circuit fault position can be quickly diagnosed and located within a sampling period after the fault occurs; if it is identified as a current sensor fault, it is compared with the actual value of the output phase current sensor to diagnose the fault.

[0005] It can be seen that the fault diagnosis method of the matrix converter motor drive system has the following problems: the invention establishes a relationship model between the output voltage and the output current under normal operating conditions and under fault conditions to determine the fault cause and fault location of the drive system. The diagnosis method is too single and the parameters for establishing the model are not comprehensive enough, resulting in low diagnostic accuracy for motor drive faults. Summary of the invention

[0006] To this end, the present invention provides an intelligent induction motor drive fault prediction system to overcome the problem of a single diagnosis method and low diagnostic accuracy for motor drive faults in the prior art.

[0007] To achieve the above object, the present invention provides an intelligent induction motor drive fault prediction system, which is characterized by comprising:

[0008] A data acquisition module, comprising a temperature acquisition unit for acquiring the temperature of the intelligent induction motor bearing, a vibration acquisition unit for acquiring the motor vibration information, a humidity acquisition unit for acquiring the humidity of the motor operating environment, and a cleanliness acquisition unit for acquiring the cleanliness of the motor operating environment;

[0009] A data storage module, which is connected to the data acquisition module and is used to store the historical information collected by the data acquisition module;

[0010] a fault analysis module, which is connected to the data acquisition module and the data storage module respectively, and is used to determine whether the operation process of the intelligent induction motor meets the preset standard according to the average heating rate, the maximum amplitude and the frequency of overheating events, to determine the reason why the operation of the intelligent induction motor does not meet the preset standard according to the fault level ratio and adjust the corresponding parameters, and to determine the correction method of the judgment standard of the intelligent induction motor according to the environmental evaluation value;

[0011] A fault warning module is connected to the fault analysis module and is used to display the determination result output by the fault analysis module.

[0012] Furthermore, the fault analysis module determines whether a single motor start-up meets a preset standard based on the average temperature rise rate during the stable operation time of the intelligent induction motor.

[0013] If the average heating rate is less than or equal to the first preset heating rate, the fault analysis module determines that the single motor start meets the preset standard and does not mark it;

[0014] If the average heating rate is greater than the first preset heating rate, the fault analysis module determines that the single motor start-up does not meet the preset standard and records the single motor start-up as a single overheating event;

[0015] If the average heating rate is greater than the first preset heating rate and less than or equal to the second preset heating rate, the fault analysis module secondarily determines the fault level of a single overheating event based on the maximum amplitude within the stable operation time of the intelligent induction motor;

[0016] If the average heating rate is greater than the second preset heating rate, the fault analysis module records the single overheating event as a primary fault;

[0017] The stable operation time is the time from when the intelligent induction motor is started to when the bearing temperature does not change within a preset time.

[0018] Furthermore, the fault analysis module obtains the time-temperature coordinate curve within the stable operation time, takes the origin of the curve coordinate as the starting point of the statistics, and takes the starting point of temperature stability as the end point of the statistics, constructs a straight line from the starting point to the end point and records the slope of the straight line as the average heating rate.

[0019] Further, the fault analysis module determines a fault level of the single overheating event based on a maximum amplitude of the single overheating event, wherein the fault level includes a primary fault and a secondary fault.

[0020] Furthermore, the fault analysis module determines whether the operation process of the intelligent induction motor meets the preset standard based on the frequency of the single overheating event and the proportion of the fault level within a preset time period.

[0021] If the frequency of the single overheating event is greater than the preset frequency, and the secondary fault ratio is greater than the preset level ratio threshold, the fault analysis module determines that the operation process of the intelligent induction motor does not meet the preset standard because the power supply does not meet the standard, switches the power supply and determines the power of the replaced power supply according to the ratio difference;

[0022] If the frequency of the single overheating event is greater than the preset frequency, and the first-level fault ratio is greater than the preset level ratio threshold, the fault analysis module determines that the operation process of the intelligent induction motor does not meet the preset standard due to bearing wear.

[0023] Furthermore, the fault analysis module determines the power of the replaced power supply according to the difference in the secondary proportions.

[0024] If the secondary proportion difference is less than or equal to the first preset proportion difference, the fault analysis module uses the first power correction coefficient to determine the power of the replaced power supply;

[0025] If the secondary proportion difference is greater than the first preset proportion difference, the fault analysis module uses a second power correction coefficient to determine the power of the replaced power supply.

[0026] Furthermore, the fault analysis module determines the degree of wear of the bearing based on the first-level proportion difference and controls the fault warning module to issue a warning to replace the bearing when the first-level proportion difference is greater than a second preset proportion difference.

[0027] Further, the fault analysis module determines an environmental evaluation value based on the humidity and cleanliness of the motor operating environment to determine the operating environment of the induction motor, wherein the calculation formula of the environmental evaluation value is:

[0028]

[0029] Among them, E represents the environmental evaluation value, α represents the influence coefficient of environmental humidity, H represents the environmental humidity, H0 represents the standard environmental humidity, β represents the influence coefficient of environmental cleanliness, m represents the dust mass, and V represents the air volume.

[0030] Furthermore, the fault analysis module sets several adjustment methods for the judgment standard of the single motor start-up based on the environmental evaluation value, and each adjustment method has a different adjustment range for the judgment standard.

[0031] Furthermore, the intelligent induction motor drive fault prediction system also includes an alarm module, which is connected to the fault analysis module and is used to issue an alarm when the frequency of the single overheating event is greater than a preset frequency and the proportion of first-level faults is greater than the preset level proportion threshold.

[0032] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention collects the operating parameters of the intelligent induction motor by setting a data acquisition module, and stores the operating parameters of the intelligent induction motor in the data storage module, determines whether the operating state of the intelligent induction motor meets the preset standards through analysis by the fault analysis module, and adjusts or controls the alarm module to issue an alarm based on the operating parameters for the operating state that does not meet the preset standards, thereby evaluating the operating process of the intelligent induction motor from multiple angles, which can effectively improve the fault prediction accuracy of the intelligent induction motor.

[0033] Furthermore, the fault analysis module of the present invention determines whether a single motor start-up meets the preset standard based on the average heating rate when the intelligent induction motor is started, and records a single motor start-up with a heating rate greater than a first preset heating rate as a single overheating event, and records a single motor start-up with a heating rate greater than a second preset heating rate as a first-level fault, thereby specifically distinguishing the severity of the fault and effectively improving the fault prediction accuracy of the intelligent induction motor.

[0034] Furthermore, the fault analysis module of the present invention establishes a time-temperature curve corresponding to the time from the start-up to the stable operation of the intelligent induction motor, connects the starting point and the end point to calculate the slope of the straight line to characterize the average heating rate, so that the standard for determining the operation process of the intelligent induction motor is more credible, thereby effectively improving the fault prediction accuracy of the intelligent induction motor.

[0035] Furthermore, the fault analysis module of the present invention determines the fault level of a single overheating event based on the maximum amplitude of the single overheating event, determines the severity of the fault, and performs further analysis and adjustment based on this, thereby effectively improving the fault prediction accuracy of the intelligent induction motor.

[0036] Furthermore, the fault analysis module of the present invention counts the frequency and fault level of single overheating events within a preset time period, and determines the reason why the operation process of the intelligent induction motor does not meet the preset standards based on the two parameters, thereby effectively improving the fault prediction accuracy of the intelligent induction motor.

[0037] Furthermore, the fault analysis module of the present invention determines the severity of the fault based on the comparison result of the fault level proportion difference and the preset proportion difference, thereby determining the adjustment method of the corresponding parameters or issuing an early warning, thereby further improving the fault prediction accuracy of the intelligent induction motor.

[0038] Furthermore, the fault analysis module of the present invention calculates the environmental evaluation value based on humidity and cleanliness to evaluate the operating environment of the intelligent induction motor, and determines the adjustment method of the judgment standard of the intelligent induction motor based on the environmental evaluation value, thereby comprehensively monitoring the operating process of the intelligent induction motor, thereby further improving the fault prediction accuracy of the intelligent induction motor.

[0039] Furthermore, the present invention also includes an alarm module, which promptly issues an alarm for a fault that cannot be adjusted, notifying maintenance personnel to perform maintenance, thereby avoiding more serious faults of the intelligent induction motor, thereby ensuring the safe operation of the intelligent induction motor. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a structural block diagram of an intelligent induction motor drive fault prediction system according to an embodiment of the present invention;

[0041] Figure 2 This is a flow chart of an embodiment of the present invention for determining whether a single motor start-up meets a preset standard based on an average heating rate;

[0042] Figure 3 A flow chart of determining the fault level of the single overheating event based on the maximum amplitude according to an embodiment of the present invention;

[0043] Figure 4 The present invention is a flowchart of an embodiment of the present invention for determining whether the operation process of the intelligent induction motor meets the preset standard based on the frequency of single overheating events and the proportion of fault levels. DETAILED DESCRIPTION

[0044] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0045] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0046] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0047] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0048] See also Figure 1 , Figure 2 , Figure 3 as well as Figure 4 As shown, they are respectively a structural block diagram of an intelligent induction motor drive fault prediction system according to an embodiment of the present invention; a flowchart of determining whether a single motor start-up meets a preset standard based on an average heating rate according to an embodiment of the present invention; a flowchart of determining the fault level of the single overheating event based on a maximum amplitude according to an embodiment of the present invention; a flowchart of determining whether the operation process of the intelligent induction motor meets the preset standard based on the frequency of a single overheating event and the proportion of the fault level according to an embodiment of the present invention.

[0049] An intelligent induction motor drive fault prediction system, characterized by comprising:

[0050] A data acquisition module, comprising a temperature acquisition unit for acquiring the temperature of the intelligent induction motor bearing, a vibration acquisition unit for acquiring the motor vibration information, a humidity acquisition unit for acquiring the humidity of the motor operating environment, and a cleanliness acquisition unit for acquiring the cleanliness of the motor operating environment;

[0051] A data storage module, which is connected to the data acquisition module and is used to store the historical information collected by the data acquisition module;

[0052] a fault analysis module, which is connected to the data acquisition module and the data storage module respectively, and is used to determine whether the operation process of the intelligent induction motor meets the preset standard according to the average heating rate, the maximum amplitude and the frequency of overheating events, to determine the reason why the operation of the intelligent induction motor does not meet the preset standard according to the fault level ratio and adjust the corresponding parameters, and to determine the correction method of the judgment standard of the intelligent induction motor according to the environmental evaluation value;

[0053] A fault warning module is connected to the fault analysis module and is used to display the determination result output by the fault analysis module.

[0054] Specifically, the temperature acquisition unit, such as a temperature sensor, is not specifically limited, and only needs to be able to monitor the motor bearing temperature; the vibration acquisition unit, such as a vibration analyzer, is not specifically limited, and only needs to be able to monitor the vibration frequency and vibration amplitude of the bearing; the humidity acquisition unit, such as a humidity sensor, is not specifically limited, and only needs to be able to monitor the humidity of the motor operating environment; the cleanliness acquisition unit, such as a dust sampler with a filter membrane, is not specifically limited, and only needs to be able to monitor the dust content of the motor operating environment.

[0055] Specifically, the fault analysis module determines whether a single motor start-up meets the preset standard based on the average temperature rise rate during the stable operation time of the intelligent induction motor.

[0056] If the average heating rate is less than or equal to the first preset heating rate of 20°C / s, the fault analysis module determines that the single motor start meets the preset standard and does not mark it;

[0057] If the average heating rate is greater than the first preset heating rate of 20°C / s, the fault analysis module determines that the single motor start does not meet the preset standard and records the single motor start as a single overheating event;

[0058] If the average heating rate is greater than the first preset heating rate of 20°C / s and less than or equal to the second preset heating rate of 25°C / s, the fault analysis module secondarily determines the fault level of a single overheating event based on the maximum amplitude within the stable operation time of the intelligent induction motor;

[0059] If the average heating rate is greater than the second preset heating rate of 25°C / s, the fault analysis module records the single overheating event as a first-level fault;

[0060] The stable operation time is the time from the start of the intelligent induction motor to the start point when the bearing temperature does not change within a preset time of 5 seconds.

[0061] Specifically, the fault analysis module obtains the time-temperature coordinate curve within the stable operation time, takes the origin of the curve coordinate as the starting point of the statistics, and takes the starting point of temperature stability as the end point of the statistics, constructs a straight line from the starting point to the end point and records the slope of the straight line as the average heating rate.

[0062] Specifically, the starting point of temperature stabilization in the embodiment of the present invention is the starting point at which the bearing temperature does not change within a preset time of 5 seconds.

[0063] Specifically, the fault analysis module determines the fault level of the single overheating event based on the maximum amplitude of the single overheating event, wherein the fault level includes a primary fault and a secondary fault.

[0064] If the maximum amplitude is less than or equal to the first preset amplitude of 1 mm, the fault analysis module determines that no fault has occurred in the single overheating event;

[0065] If the maximum amplitude is greater than the first preset amplitude of 1 mm and less than or equal to the second preset amplitude of 2 mm, the fault analysis module determines that the single overheating event is a secondary fault;

[0066] If the maximum amplitude is greater than the second preset amplitude of 2 mm, the fault analysis module determines that the single overheating event is a primary fault.

[0067] Specifically, the fault analysis module determines whether the operation process of the intelligent induction motor meets the preset standard based on the frequency of the single overheating event and the proportion of the fault level within a preset time of 10 days.

[0068] If the frequency of the single overheating event is less than or equal to the preset frequency of 50 times, the fault analysis module determines that the operation process of the intelligent induction motor meets the preset standard;

[0069] If the frequency of the single overheating event is greater than the preset frequency of 50 times, and the secondary fault ratio is greater than the preset level ratio threshold of 65%, the fault analysis module determines that the operation process of the intelligent induction motor does not meet the preset standard because the power supply does not meet the standard, switches the power supply and determines the power of the replaced power supply according to the ratio difference;

[0070] If the frequency of the single overheating event is greater than a preset frequency of 50 times, and the first-level fault ratio is greater than the preset level ratio threshold of 65%, the fault analysis module determines that the operation process of the intelligent induction motor does not meet the preset standard due to bearing wear.

[0071] Specifically, the fault analysis module determines the power of the replaced power supply according to the difference in the secondary proportions.

[0072] If the secondary proportion difference is less than or equal to the first preset proportion difference of 20%, the fault analysis module uses the first power correction coefficient of 1.2 to determine the power of the replaced power supply;

[0073] If the secondary proportion difference is greater than the first preset proportion difference of 20%, the fault analysis module uses a second power correction coefficient of 1.5 to determine the power of the replaced power supply.

[0074] Specifically, the second-level proportion difference is the difference between the second-level fault proportion and the preset level proportion threshold.

[0075] Specifically, the fault analysis module determines the degree of bearing wear based on the first-level proportion difference and controls the fault warning module to issue a warning to replace the bearing when the first-level proportion difference is greater than the second preset proportion difference of 15%; when the first-level proportion difference is less than or equal to the second preset proportion difference of 15%, the second preset proportion difference of 15% is corrected to 10%.

[0076] Specifically, the first-level proportion difference is the difference between the first-level fault proportion and the preset level proportion threshold.

[0077] Specifically, the fault analysis module determines an environmental evaluation value based on the humidity and cleanliness of the motor operating environment to determine the operating environment of the induction motor, wherein the calculation formula of the environmental evaluation value is:

[0078]

[0079] Among them, E represents the environmental evaluation value, α represents the influence coefficient of environmental humidity, H represents the environmental humidity, H0 represents the standard environmental humidity, β represents the influence coefficient of environmental cleanliness, m represents the dust mass, and V represents the air volume.

[0080] Specifically, the cleanliness calculation process is to use a dust sampler to collect a certain volume of air samples at the location that needs to be monitored, collect the dust in the collected samples through a filter membrane or other separation equipment, and accurately weigh them, and calculate the cleanliness based on the collected air volume and dust mass.

[0081] Specifically, the fault analysis module sets several adjustment methods for the judgment standard of the single motor start-up based on the environmental evaluation value, and each adjustment method has a different adjustment range for the judgment standard.

[0082] If the environmental assessment value is less than or equal to the preset environmental assessment value of 15 mg / m 3 , the fault analysis module determines to use a first amplitude correction coefficient of 0.9 to correct the first preset amplitude of 1 mm;

[0083] If the environmental assessment value is greater than the preset environmental assessment value of 15 mg / m 3 , the fault analysis module determines to use the second amplitude correction coefficient 0.8 to correct the second preset amplitude of 2 mm.

[0084] Specifically, the intelligent induction motor drive fault prediction system of the embodiment of the present invention also includes an alarm module, which is connected to the fault analysis module and is used to issue an alarm when the frequency of the single overheating event is greater than the preset frequency of 50 times and the proportion of first-level faults is greater than the preset level proportion threshold of 65%.

[0085] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. An intelligent induction motor drive fault prediction system, characterized in that: include: A data acquisition module, comprising a temperature acquisition unit for acquiring the temperature of the intelligent induction motor bearing, a vibration acquisition unit for acquiring the motor vibration information, a humidity acquisition unit for acquiring the humidity of the motor operating environment, and a cleanliness acquisition unit for acquiring the cleanliness of the motor operating environment; A data storage module, which is connected to the data acquisition module and is used to store the historical information collected by the data acquisition module; a fault analysis module, which is connected to the data acquisition module and the data storage module respectively, and is used to determine whether the operation process of the intelligent induction motor meets the preset standard according to the average heating rate, the maximum amplitude and the frequency of overheating events, and to determine the fault level to determine the reason why the operation of the intelligent induction motor does not meet the preset standard according to the fault level ratio and adjust the corresponding parameters, and to determine the correction method of the judgment standard of the intelligent induction motor according to the environmental evaluation value; A fault warning module, which is connected to the fault analysis module and is used to display the determination result output by the fault analysis module; The fault analysis module determines whether the operation process of the intelligent induction motor meets the preset standard based on the frequency of single overheating events within a preset time and the proportion of the fault level. If the frequency of the single overheating event is greater than the preset frequency, and the secondary fault ratio is greater than the preset level ratio threshold, the fault analysis module determines that the operation process of the intelligent induction motor does not meet the preset standard due to substandard power supply, replaces the power supply and determines the power of the replaced power supply according to the difference in ratio; If the frequency of the single overheating event is greater than the preset frequency, and the first-level fault ratio is greater than the preset level ratio threshold, the fault analysis module determines that the operation process of the intelligent induction motor does not meet the preset standard due to bearing wear; The fault analysis module determines the power of the replaced power supply according to the difference in the secondary proportions. If the secondary proportion difference is less than or equal to the first preset proportion difference, the fault analysis module uses the first power correction coefficient to determine the power of the replaced power supply; If the secondary proportion difference is greater than the first preset proportion difference, the fault analysis module uses the second power correction coefficient to determine the power of the replaced power supply; The fault analysis module determines an environmental evaluation value based on the humidity and cleanliness of the motor operating environment to determine the operating environment of the induction motor, wherein the calculation formula of the environmental evaluation value is: Wherein, E represents the environmental evaluation value, α represents the influence coefficient of environmental humidity, H represents the environmental humidity, H0 represents the standard environmental humidity, β represents the influence coefficient of environmental cleanliness, m represents the dust mass, and V represents the air volume; The fault analysis module sets several adjustment methods for the judgment standard of a single motor start-up based on the environmental evaluation value, and each adjustment method has a different adjustment range for the judgment standard.

2. The intelligent induction motor drive fault prediction system according to claim 1, characterized in that: The fault analysis module determines whether a single motor start-up meets the preset standard based on the average temperature rise rate during the stable operation time of the intelligent induction motor. If the average heating rate is less than or equal to the first preset heating rate, the fault analysis module determines that the single motor start meets the preset standard and does not mark it; If the average heating rate is greater than the first preset heating rate, the fault analysis module determines that the single motor start-up does not meet the preset standard and records the single motor start-up as a single overheating event; If the average heating rate is greater than the first preset heating rate and less than or equal to the second preset heating rate, the fault analysis module secondarily determines the fault level of a single overheating event based on the maximum amplitude within the stable operation time of the intelligent induction motor; If the average heating rate is greater than the second preset heating rate, the fault analysis module records the single overheating event as a primary fault; The stable operation time is the time from when the intelligent induction motor is started to when the bearing temperature does not change within a preset time.

3. The intelligent induction motor drive fault prediction system according to claim 2, characterized in that: The fault analysis module obtains the time-temperature coordinate curve within the stable operation time, takes the origin of the curve coordinate as the starting point of statistics, takes the starting point of temperature stability as the end point of statistics, constructs a straight line from the starting point to the end point and records the slope of the straight line as the average heating rate.

4. The intelligent induction motor drive fault prediction system according to claim 3, characterized in that: The fault analysis module determines a fault level of the single overheat event based on a maximum amplitude of the single overheat event, wherein the fault level includes a primary fault and a secondary fault.

5. The intelligent induction motor drive fault prediction system according to claim 4, characterized in that: The fault analysis module determines the degree of wear of the bearing based on the first-level proportion difference and controls the fault warning module to issue a warning to replace the bearing when the first-level proportion difference is greater than the second preset proportion difference.

6. The intelligent induction motor drive fault prediction system according to claim 5, characterized in that: It also includes an alarm module, which is connected to the fault analysis module and is used to issue an alarm when the frequency of the single overheating event is greater than the preset frequency and the proportion of first-level faults is greater than the preset level proportion threshold.

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