Sticky recognition method, system, device, medium for demagnetization motor fault characteristics

Abstract

The application provides a demagnetization motor fault characteristic adhesion identification method, system, device and medium, and belongs to the technical field of adhesion identification. q Firstly, a shaft current model of the demagnetization motor and a flux linkage observer of the demagnetization motor are constructed to determine a flux linkage estimation value of the demagnetization motor; then, an electromagnetic torque calculation model of the demagnetization motor is constructed according to the flux linkage estimation value to determine an electromagnetic torque value of the demagnetization motor; then, a load torque observer of the demagnetization motor is constructed according to the calculated electromagnetic torque to obtain a load torque estimation value of the demagnetization motor; and finally, a wheel-rail adhesion coefficient of the demagnetization fault characteristic is obtained according to the load torque estimation value. The application can accurately identify the adhesion coefficient between the wheel and the rail when the wheel motor is in the demagnetization fault working condition.

Description

Technical Field

[0001] This invention relates to the field of adhesion identification technology, and in particular to an adhesion identification method, system, device, and medium for identifying fault characteristics of demagnetized motors. Background Technology

[0002] The adhesion coefficient between train wheelsets and the rail surface characterizes the adhesion state between the wheelsets and the track, directly reflecting the train's traction capacity, braking efficiency, and operational stability. The ability to quickly and accurately identify the wheel-rail adhesion coefficient is crucial for safe train operation. Especially under complex rail surface conditions (such as rain, snow, frost, oil contamination, and fallen leaves), the wheel-rail adhesion coefficient changes significantly. Failure to identify this change promptly and accurately can easily lead to wheelset slippage or coasting, resulting in decreased train traction efficiency and impacting both operational efficiency and safety.

[0003] Currently, most common wheel-rail adhesion identification methods rely on wheelset dynamic models and directly estimate adhesion using information such as acceleration and velocity. Traditional methods are typically based on the assumption that the wheelset motor is in a healthy state, obtaining the wheel-rail adhesion coefficient through parameters such as motor output torque and wheelset speed. However, in actual operation, permanent magnet motors used as wheelset motors in rail trains can experience local or overall demagnetization faults due to overheating, vibration, and aging under complex service conditions, leading to abnormal fluctuations in the wheelset motor's output torque. Existing research lacks an effective solution to accurately identify the wheel-rail adhesion coefficient even under demagnetization fault conditions. Therefore, there is an urgent need for an adhesion identification method based on the fault characteristics of demagnetized motors, capable of accurately identifying the wheel-rail adhesion coefficient under demagnetization fault conditions, thereby ensuring the stable operation of rail trains. Summary of the Invention

[0004] The purpose of this invention is to provide an adhesion identification method and system for demagnetizing motor fault characteristics, which can accurately identify the adhesion coefficient between the wheel and rail when the wheelset motor is in a demagnetizing fault condition.

[0005] To achieve the above-mentioned objectives, the present invention employs the following technical solution: a method for identifying adhesion characteristics of demagnetizing motor faults, comprising the following steps: S1: Constructing a demagnetizing motor q A shaft current model and a flux linkage observer for the demagnetizing motor are used to determine the flux linkage estimate for the demagnetizing motor. S2: Based on the flux linkage estimate, construct an electromagnetic torque calculation model for the demagnetizing motor and determine the electromagnetic torque value of the demagnetizing motor; S3: Based on the calculated electromagnetic torque, construct a load torque observer for the demagnetizing motor and obtain the estimated load torque value of the demagnetizing motor; S4: Obtain the wheel-rail adhesion coefficient for demagnetization fault characteristics based on the estimated load torque.

[0006] S1 includes: S11: Constructing the first i A demagnetizing motor q Axis current model

[0007] In the formula, , The first i A demagnetizing motor d Shaft measuring current, q Shaft measuring current, For the first i A demagnetizing motor q shaft voltage, For the first i The angular velocity of a demagnetizing motor, , The first i A demagnetizing motor d Shaft inductance, q Shaft inductor, For the first i The stator resistance of a demagnetizing motor For the first i The magnetic flux of a demagnetizing motor For the first i The number of pole pairs of a demagnetizing motor , n This represents the total number of demagnetizing motors; S12: Constructing the... i A flux linkage observer for a demagnetizing motor.

[0008] In the formula For the first i A demagnetizing motor q Shaft estimation current, For the first i Estimated flux linkage of a demagnetizing motor; S13: According to the... i One flux linkage observer is used to determine the flux linkage estimate of the demagnetizing motor.

[0009] In the formula, For the first i Estimated flux linkage gain for a demagnetizing motor For the first i The compensation coefficient for the estimated flux linkage of a demagnetizing motor. For the first iThe exponential coefficient for estimating the flux linkage of a demagnetizing motor. Let be a sign function of the estimated current and the measured current, when hour, ,when hour, ,when hour, ; Construct flux observers for all demagnetizing motors to determine the flux estimates for each demagnetizing motor.

[0010] S2 includes: S2: According to the first i The flux linkage estimate of the demagnetizing motor is used to construct the first... i Electromagnetic torque calculation model for a demagnetizing motor ; In the formula, For the first i The electromagnetic torque of a demagnetizing motor; Construct electromagnetic torque calculation models for all demagnetizing motors and determine the electromagnetic torque values ​​of the demagnetizing motors.

[0011] S3 includes: S31: Based on the calculated... i The electromagnetic torque of the demagnetizing motor is used to construct the first... i Load torque observer for a demagnetizing motor

[0012] In the formula, For the first i An estimate of the angular velocity of a demagnetizing motor. For the first i An estimate of the load torque of a demagnetizing motor. For the first i The moment of inertia on the motor side of a demagnetizing motor For the first i The rotational inertia of the wheelset side of a demagnetizing motor For the first i The transmission efficiency of a demagnetizing motor. For the first i The transmission ratio of a demagnetizing motor For the first i Correction function for a demagnetizing motor load torque observer; S32: According to the... i A load torque observer for a demagnetizing motor is constructed, and a sliding surface function is built to estimate the measured and estimated angular velocity of the demagnetizing motor.

[0013] In the formula, For the firsti The sliding surface function of a demagnetizing motor load torque observer For the first i Sliding surface gain of a demagnetizing motor load torque observer; S33: According to the... i The sliding surface function of a demagnetizing motor load torque observer is used to construct a reaching law function about the sliding surface.

[0014] In the formula, For the first i The approach law function of a load torque observer , The first i Exponential gain and integral gain of a reaching law function For the first i The sign function of a reaching law function with respect to the sliding surface, when hour, ,when hour, ,when hour, ; S34: According to the i Using the sliding mode surface function and reaching law function of a load torque observer, a correction function for the demagnetizing motor load torque observer is constructed.

[0015] S35: According to the... i A load torque calculation model for the demagnetizing motor is constructed using the correction function of a load torque observer, and the estimated load torque value of the demagnetizing motor is obtained.

[0016] In the formula, For the first i The estimated gain of the demagnetizing motor load torque observer; Construct a load torque observer for all demagnetizing motors to obtain estimated load torque values ​​for the demagnetizing motors.

[0017] S4 includes: S41: According to i The load torque estimate of a demagnetizing motor is used to obtain the wheel-rail adhesion coefficient of the demagnetizing fault characteristics.

[0018] In the formula, For the first i The wheel-rail adhesion coefficient of a demagnetizing motor For the first iAxle load of a demagnetizing motor wheelset For the first i The diameter of a demagnetizing motor wheelset It is the acceleration due to gravity; Obtain the wheel-rail adhesion coefficient for all demagnetized motors.

[0019] Meanwhile, this invention proposes an adhesion identification system for demagnetizing motor fault characteristics. The system includes: a fault injection module, a flux linkage observer module, an electromagnetic torque calculation module, a load torque observer module, a wheel-rail adhesion coefficient identification module, a multi-wheelset traction train simulation module, and a data acquisition module. The fault injection module injects different fault conditions into the train wheelsets and wheelset motors to simulate the actual fault conditions of the train wheelsets and wheelset motors during multi-wheelset traction train operation. The flux linkage observer module observes the flux linkage of the train wheelset motors in real time to determine the actual flux linkage value of the demagnetizing motor. The electromagnetic torque calculation module calculates the actual electromagnetic torque of the demagnetizing motor. The load torque observer module observes the load torque of the train wheelset motors in real time to determine the actual load torque value of the demagnetizing motor. The wheel-rail adhesion coefficient identification module calculates the adhesion coefficient between the wheelset and the rail surface under demagnetizing fault conditions. The multi-wheelset traction train simulation module simulates the actual operation of a real train. The data acquisition module feeds back the current signal of the demagnetizing motor to the flux linkage observer module and the speed signal of the demagnetizing motor to the load torque observer module during actual train operation.

[0020] Meanwhile, the present invention proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed, it implements the steps of the method described in the present invention.

[0021] Furthermore, the present invention proposes a computer-readable storage medium having a computer program stored thereon, the computer program being configured to implement the steps of the method described in the present invention when invoked by a processor.

[0022] Finally, the present invention provides a computer program product comprising a computer program / instructions that, when executed by a processor, implement the steps of the method described in the present invention.

[0023] Compared with the prior art, the beneficial effects of the present invention are as follows: This application provides an adhesion identification method for the fault characteristics of a demagnetizing motor, firstly constructing the adhesion identification method for the demagnetizing motor. qThis invention utilizes a shaft current model and a flux linkage observer for the demagnetizing motor to determine the flux linkage estimate. Based on the flux linkage estimate, an electromagnetic torque calculation model for the demagnetizing motor is constructed to determine its electromagnetic torque value. Based on the calculated electromagnetic torque, a load torque observer for the demagnetizing motor is constructed to obtain its load torque estimate. Finally, based on the load torque estimate, the wheel-rail adhesion coefficient characteristic of the demagnetizing fault is obtained. This invention can accurately identify the wheel-rail adhesion coefficient when the wheelset motor is in a demagnetizing fault condition, thereby accurately obtaining the adhesion state between the train wheels and rails and ensuring the safe and stable operation of the train under demagnetizing fault conditions. Attached Figure Description

[0024] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0025] Figure 1 This is a flowchart of an adhesion identification method for a demagnetizing motor fault characteristics according to a preferred embodiment of the present invention.

[0026] Figure 2 This is a diagram showing the wheel-rail adhesion coefficient identification results under the demagnetization fault condition of the wheelset motor in a preferred embodiment of the present invention.

[0027] Figure 3 This is a diagram showing the identification results of the wheel-rail adhesion coefficient under the conditions of demagnetization fault of the wheelset motor and idling fault of the train wheelset according to a preferred embodiment of the present invention. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. Of course, the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0029] Example 1: As Figure 1 As shown, this embodiment provides an adhesion identification method for demagnetizing motor fault characteristics, including: S1: Constructing a demagnetizing motor q A shaft current model and a flux linkage observer for the demagnetizing motor are used to determine the flux linkage estimate for the demagnetizing motor. S2: Based on the flux linkage estimate, construct an electromagnetic torque calculation model for the demagnetizing motor and determine the electromagnetic torque value of the demagnetizing motor; S3: Based on the calculated electromagnetic torque, construct a load torque observer for the demagnetizing motor and obtain the estimated load torque value of the demagnetizing motor; S4: Obtain the wheel-rail adhesion coefficient for demagnetization fault characteristics based on the estimated load torque.

[0030] Optionally, S1 includes: S11: Constructing the first i A demagnetizing motor q Axis current model

[0031] In the formula, , The first i A demagnetizing motor d Shaft measuring current, q Shaft measuring current, For the first i A demagnetizing motor q shaft voltage, For the first i The angular velocity of a demagnetizing motor, , The first i A demagnetizing motor d Shaft inductance, q Shaft inductor, For the first i The stator resistance of a demagnetizing motor For the first i The magnetic flux of a demagnetizing motor For the first i The number of pole pairs of a demagnetizing motor , n This represents the total number of demagnetizing motors; S12: Constructing the... i A flux linkage observer for a demagnetizing motor.

[0032] In the formula For the first i A demagnetizing motor q Shaft estimation current, For the first i Estimated flux linkage of a demagnetizing motor; S13: According to the... i One flux linkage observer is used to determine the flux linkage estimate of the demagnetizing motor.

[0033] In the formula, For the first i Estimated flux linkage gain for a demagnetizing motor For the first i The compensation coefficient for the estimated flux linkage of a demagnetizing motor. For the first i The exponential coefficient for estimating the flux linkage of a demagnetizing motor. Let be a sign function of the estimated current and the measured current, when hour, ,when hour, ,when hour, ; Construct flux observers for all demagnetizing motors to determine the flux estimates for each demagnetizing motor.

[0034] Optionally, S2 includes: S21: According to the... i The flux linkage estimate of the demagnetizing motor is used to construct the first... i Electromagnetic torque calculation model for a demagnetizing motor

[0035] In the formula, For the first i The electromagnetic torque of a demagnetizing motor; Construct electromagnetic torque calculation models for all demagnetizing motors and determine the electromagnetic torque values ​​of the demagnetizing motors.

[0036] Optionally, S3 includes: S31: Based on the calculated... i The electromagnetic torque of the demagnetizing motor is used to construct the first... i Load torque observer for a demagnetizing motor

[0037] In the formula, For the first i An estimate of the angular velocity of a demagnetizing motor. For the first i An estimate of the load torque of a demagnetizing motor. For the first i The moment of inertia on the motor side of a demagnetizing motor For the first i The rotational inertia of the wheelset side of a demagnetizing motor For the first i The transmission efficiency of a demagnetizing motor. For the first i The transmission ratio of a demagnetizing motor For the first i Correction function for a demagnetizing motor load torque observer; S32: According to the... i A load torque observer for a demagnetizing motor is constructed, and a sliding surface function is built to estimate the measured and estimated angular velocity of the demagnetizing motor.

[0038] In the formula, For the first iThe sliding surface function of a demagnetizing motor load torque observer For the first i Sliding surface gain of a demagnetizing motor load torque observer; S33: According to the... i The sliding surface function of a demagnetizing motor load torque observer is used to construct a reaching law function about the sliding surface.

[0039] In the formula, For the first i The approach law function of a load torque observer, The first i Exponential gain and integral gain of a reaching law function For the first i The sign function of a reaching law function with respect to the sliding surface, when hour, ,when hour, ,when hour, ; S34: According to the i Using the sliding mode surface function and reaching law function of a load torque observer, a correction function for the demagnetizing motor load torque observer is constructed.

[0040] S35: According to the... i A load torque calculation model for the demagnetizing motor is constructed using the correction function of a load torque observer, and the estimated load torque value of the demagnetizing motor is obtained.

[0041] In the formula, For the first i The estimated gain of the demagnetizing motor load torque observer; Construct a load torque observer for all demagnetizing motors to obtain estimated load torque values ​​for the demagnetizing motors.

[0042] Optionally, S4 includes: S41: According to i The load torque estimate of a demagnetizing motor is used to obtain the wheel-rail adhesion coefficient of the demagnetizing fault characteristics.

[0043] In the formula, For the first i The wheel-rail adhesion coefficient of a demagnetizing motor For the first i Axle load of a demagnetizing motor wheelset For the firsti The diameter of a demagnetizing motor wheelset It is the acceleration due to gravity; Obtain the wheel-rail adhesion coefficient for all demagnetized motors.

[0044] Example 2 In the third second of operation, the first wheelset motor of the train experienced a demagnetization fault. The graphs showing the actual wheel-rail adhesion coefficient change trend are: the wheel-rail adhesion coefficient change trend graph identified by the traditional method, and the wheel-rail adhesion coefficient graph identified by the proposed method. Figure 2 As shown, under conditions where the wheelset motor is not demagnetized, both the traditional method and the proposed method can accurately track the actual adhesion coefficient between the wheel and rail. However, after the wheelset motor experiences demagnetization, the flux linkage value in the traditional method model remains the value when the wheelset motor is in a healthy state, leading to a significant error between the traditional method's adhesion coefficient identification result and the actual adhesion coefficient. This makes it impossible to accurately track the actual dynamic change process of the adhesion coefficient between the wheel and rail. In contrast, the proposed method can estimate the actual flux linkage value of the wheelset motor in real time, and can still accurately identify the actual change process of the adhesion coefficient between the wheel and rail even after the wheelset motor experiences demagnetization. Therefore, compared to existing traditional methods, the adhesion identification method based on the fault characteristics of the demagnetized motor in this invention can accurately identify the changing trend of the adhesion coefficient between the wheelsets under conditions where the wheelset motor experiences demagnetization.

[0045] This application also provides an adhesion identification system for demagnetizing motor fault characteristics, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described method. This adhesion identification system for demagnetizing motor fault characteristics can implement various embodiments of the above-described adhesion identification method for demagnetizing motor fault characteristics and achieve the same effects; further details are omitted here.

[0046] Example 3 During operation, the first wheelset motor of the train experienced demagnetization failure at the 3rd second and idling failure at the 5th second. The following graphs illustrate the changing trend of the actual wheel-rail adhesion coefficient: the trend obtained by the traditional method and the trend obtained by the proposed method. Figure 3As shown. Due to the demagnetization fault of the wheelset motor, traditional methods still cannot accurately identify the adhesion coefficient between the wheel and rail even after the wheelset experiences a free-spinning fault. However, the proposed method estimates the flux linkage value of the wheelset motor in real time, enabling accurate identification of the adhesion coefficient between the wheel and rail even after the wheelset experiences free-spinning again while the motor is under demagnetization fault conditions. Therefore, compared to traditional identification methods, the adhesion identification method based on the demagnetization motor fault characteristics of this invention can accurately identify the adhesion coefficient between the wheel and rail regardless of whether the motor is under demagnetization fault conditions or whether the wheelset experiences both demagnetization fault and free-spinning fault conditions.

[0047] Example 4 This embodiment proposes an adhesion identification system for the fault characteristics of a demagnetizing motor. The system includes: a fault injection module, a flux linkage observer module, an electromagnetic torque calculation module, a load torque observer module, a wheel-rail adhesion coefficient identification module, a multi-wheelset traction train simulation module, and a data acquisition module. The fault injection module is used to inject different fault conditions into the train wheelsets and wheelset motors to simulate the actual fault conditions of the train wheelsets and wheelset motors during the operation of multi-wheelset traction trains. The flux linkage observer module is used to observe the flux linkage of the train wheelset motor in real time and determine the actual flux linkage value of the demagnetizing motor. The electromagnetic torque calculation module is used to calculate the actual electromagnetic torque of the demagnetizing motor. The load torque observer module is used to observe the load torque of the train wheelset motor in real time and determine the actual load torque value of the demagnetizing motor. The wheel-rail adhesion coefficient identification module is used to calculate the adhesion coefficient between the wheelset and the rail surface under demagnetization fault conditions; The multi-wheel pair traction train simulation module is used to simulate the actual operation of a real train. The data acquisition module is used to feed back the current signal of the demagnetizing motor to the flux linkage observer module and the speed signal of the demagnetizing motor to the load torque observer module during the actual operation of the train.

[0048] Example 5: This example proposes an electronic system, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method steps of the present invention.

[0049] Example 6: This example proposes a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements the steps of the method described in this invention, which will not be repeated here.

[0050] Example 7: This example proposes a computer program product, including a computer program / instructions. When the computer program / instructions are executed by a processor, they implement the steps of the method described in this invention, which will not be repeated here.

[0051] It should be noted that the processing flow of embodiments 2-3 corresponds to the specific steps of the method provided in embodiment 1 of the present invention, and has the corresponding functional modules and beneficial effects of the method. Technical details not described in detail in this embodiment can be found in the method provided in embodiment 1 of the present invention.

[0052] The program code used to implement the methods of this application may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0053] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for identifying adhesion characteristics of demagnetizing motor faults, characterized in that, Includes the following steps: S1: Constructing a demagnetizing motor q A shaft current model and a flux linkage observer for the demagnetizing motor are used to determine the flux linkage estimate for the demagnetizing motor. S2: Based on the flux linkage estimate in S1, construct the electromagnetic torque calculation model of the demagnetizing motor and determine the electromagnetic torque value of the demagnetizing motor; S3: Based on the electromagnetic torque calculated in S2, construct a load torque observer for the demagnetizing motor and obtain the estimated load torque value of the demagnetizing motor; S4: Based on the load torque estimate in S3, obtain the wheel-rail adhesion coefficient for demagnetization fault characteristics.

2. The adhesion identification method for demagnetizing motor fault characteristics according to claim 1, characterized in that, S1 includes: S11: Constructing the first i A demagnetizing motor q Axis current model ； In the formula, , The first i A demagnetizing motor d Shaft measuring current, q Shaft measuring current, For the first i A demagnetizing motor q shaft voltage, For the first i The angular velocity of a demagnetizing motor, , The first i A demagnetizing motor d Shaft inductance, q Shaft inductor, For the first i The stator resistance of a demagnetizing motor For the first i The magnetic flux of a demagnetizing motor For the first i The number of pole pairs of a demagnetizing motor , n This represents the total number of demagnetizing motors; S12: Constructing the... i A flux linkage observer for a demagnetizing motor. ； In the formula, For the first i A demagnetizing motor q Shaft estimation current, For the first i Estimated flux linkage of a demagnetizing motor; S13: According to the... i One flux linkage observer is used to determine the flux linkage estimate of the demagnetizing motor. ； In the formula, For the first i Estimated flux linkage gain for a demagnetizing motor For the first i The compensation coefficient for the estimated flux linkage of a demagnetizing motor. For the first i The exponential coefficient for estimating the flux linkage of a demagnetizing motor. Let be a sign function of the estimated current and the measured current, when hour, ,when hour, ,when hour, ; S14: Construct flux observers for all demagnetizing motors and determine the flux estimates for the demagnetizing motors.

3. The adhesion identification method for demagnetizing motor fault characteristics according to claim 1, characterized in that, S2 includes: S21: According to the... i The flux linkage estimate of the demagnetizing motor is used to construct the first... i Electromagnetic torque calculation model for a demagnetizing motor ； In the formula, For the first i The electromagnetic torque of a demagnetizing motor; S22: Construct electromagnetic torque calculation models for all demagnetizing motors and determine the electromagnetic torque values ​​of the demagnetizing motors.

4. The adhesion identification method for demagnetizing motor fault characteristics according to claim 1, characterized in that, S3 includes: S31: Based on the calculated... i The electromagnetic torque of the demagnetizing motor is used to construct the first... i Load torque observer for a demagnetizing motor ； In the formula, For the first i An estimate of the angular velocity of a demagnetizing motor. For the first i An estimate of the load torque of a demagnetizing motor. For the first i The moment of inertia on the motor side of a demagnetizing motor For the first i The rotational inertia of the wheelset side of a demagnetizing motor For the first i The transmission efficiency of a demagnetizing motor. For the first i The transmission ratio of a demagnetizing motor For the first i Correction function for a demagnetizing motor load torque observer; S32: According to the... i A load torque observer for a demagnetizing motor is constructed, and a sliding surface function is used to determine the measured and estimated quantities of the demagnetizing motor's angular velocity. ； In the formula, For the first i The sliding surface function of a demagnetizing motor load torque observer For the first i Sliding surface gain of a demagnetizing motor load torque observer; S33: According to the... i The sliding surface function of a demagnetizing motor load torque observer is used to construct a reaching law function about the sliding surface. ； In the formula, For the first i The approach law function of a load torque observer , The first i Exponential gain and integral gain of a reaching law function For the first i The sign function of a reaching law function with respect to the sliding surface, when hour, ,when hour, ,when hour, ; S34: According to the... i Using the sliding mode surface function and reaching law function of a load torque observer, a correction function for the demagnetizing motor load torque observer is constructed. ； S35: According to the... i A load torque calculation model for the demagnetizing motor is constructed using the correction function of a load torque observer, and the estimated load torque value of the demagnetizing motor is obtained. ； In the formula, For the first i The estimated gain of the demagnetizing motor load torque observer; S36: Construct a load torque observer for all demagnetizing motors to obtain estimated load torque values ​​for the demagnetizing motors.

5. The adhesion identification method for demagnetizing motor fault characteristics according to claim 1, characterized in that, S4 includes: S41: According to i The load torque estimate of a demagnetizing motor is used to obtain the wheel-rail adhesion coefficient of the demagnetizing fault characteristics. ； In the formula, For the first i The wheel-rail adhesion coefficient of a demagnetizing motor For the first i Axle load of a demagnetizing motor wheelset For the first i The diameter of a demagnetizing motor wheelset It is the acceleration due to gravity; S42: Obtain the wheel-rail adhesion coefficient for all demagnetized motors.

6. An adhesion identification system for demagnetizing motor fault characteristics, characterized in that, The system includes: The system includes a fault injection module, an idling fault injection module, a flux linkage observer module, an electromagnetic torque calculation module, a load torque observer module, a wheel-rail adhesion coefficient identification module, a multi-wheelset traction train simulation module, and a data acquisition module. The fault injection module is used to inject different fault conditions into the train wheelsets and wheelset motors to simulate the actual fault conditions of the train wheelsets and wheelset motors during the operation of multi-wheelset traction trains. The flux linkage observer module is used to observe the flux linkage of the train wheelset motor in real time and determine the actual flux linkage value of the demagnetizing motor. The electromagnetic torque calculation module is used to calculate the actual electromagnetic torque of the demagnetizing motor. The load torque observer module is used to observe the load torque of the train wheelset motor in real time and determine the actual load torque value of the demagnetizing motor. The wheel-rail adhesion coefficient identification module is used to calculate the adhesion coefficient between the wheelset and the rail surface under demagnetization fault conditions; The multi-wheel pair traction train simulation module is used to simulate the actual operation of a real train. The data acquisition module is used to feed back the current signal of the demagnetizing motor to the flux linkage observer module and the speed signal of the demagnetizing motor to the load torque observer module during the actual operation of the train.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is executed, it implements the steps of the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program is configured to implement the steps of the method according to any one of claims 1 to 5 when invoked by a processor.

9. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 5.

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