Motor winding fault diagnosis method based on multi-information analysis

Abstract

The invention discloses a motor winding fault diagnosis method based on multi-information analysis, and belongs to the technical field of motor winding fault diagnosis. According to the motor winding fault diagnosis method based on multi-information analysis, when a motor winding works, motor winding operation state data at a plurality of time points are continuously obtained, and preprocessing and time sequence analysis are carried out; and obtaining an operation current change evaluation index, an operation voltage change evaluation index, an operation magnetic field change evaluation index and an operation phase deviation evaluation index of the motor winding. By comprehensively analyzing the voltage, current, magnetic field and phase data of the motor winding, the running state of the motor can be monitored more comprehensively, abnormal changes can be found in time, compared with traditional fault diagnosis depending on a single data source, the method based on multi-information analysis can predict and diagnose various complex faults more accurately, and the fault diagnosis accuracy is improved. Therefore, the efficiency and effectiveness of fault processing are greatly improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of motor winding fault diagnosis, and particularly relates to a motor winding fault diagnosis method based on multi-information analysis. Background Art

[0002] The motor winding is one of the core components of the motor, responsible for generating a magnetic field so that the motor can convert electrical energy into mechanical energy. The health status of the winding directly affects the performance and efficiency of the motor. Common winding faults include short circuits, open circuits, insulation damage, and overheating, etc. These faults may lead to a decrease in motor efficiency, an increase in operating costs, and even complete equipment failure.

[0003] Traditional motor fault diagnosis methods mainly rely on periodic physical inspections, simple electrical tests, or experience-based maintenance strategies. These methods usually rely on obvious fault signs for diagnosis, such as abnormal noise, vibration, or heat. In addition, many traditional methods cannot provide real-time fault monitoring, usually only taking measures after a fault occurs, and unable to predict and prevent potential problems.

[0004] Advances and challenges in modern fault diagnosis technology With the development of sensor technology and data analysis technology, motor fault diagnosis has begun to shift towards real-time monitoring and intelligent analysis. This includes methods such as vibration analysis, infrared thermal imaging technology, and electrical parameter monitoring. Although these technologies have improved the timeliness and accuracy of diagnosis, there are still challenges in dealing with complex data and performing comprehensive analysis.

[0005] Firstly, the existing technologies often limit to the shallow analysis of a single parameter of the motor winding, rather than comprehensively analyzing the multi-dimensional data of the motor operating state, which easily leads to potential faults not being detected in time; secondly, the lack of dynamic analysis of the motor operating time-series data makes it difficult to actively prevent faults, often only being able to respond passively after a fault occurs, thus affecting the timeliness and accuracy of diagnosis; in addition, in terms of data integration and interpretation, there is a lack of effective methods to simultaneously analyze information from multiple data sources to obtain a comprehensive view of the motor winding state. Summary of the Invention

[0006] Aiming at the deficiencies of the existing technology, the present invention provides a motor winding fault diagnosis method based on multi-information analysis, which can more comprehensively monitor the operating state of the motor and timely detect abnormal changes.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: A motor winding fault diagnosis method based on multi-information analysis, comprising the following steps: When the motor winding is working, continuously obtain the operating state data of the motor winding at several time points and perform preprocessing. The operating state data includes voltage data, current data, magnetic field data, and phase data; Perform time series analysis on the preprocessed operating state data of the motor winding at several time points to obtain the operating current change evaluation index, operating voltage change evaluation index, operating magnetic field change evaluation index, and operating phase deviation evaluation index of the motor winding; Comprehensively analyze the operating current change evaluation index, operating voltage change evaluation index, operating magnetic field change evaluation index, and operating phase deviation evaluation index of the motor winding to obtain the operating fault evaluation index of the motor winding; Judge whether the operating fault evaluation index of the motor winding is within the preset safe operating index range; If the operating fault evaluation index of the motor winding is within the preset safe operating index range, no measures are taken; If the operating fault evaluation index of the motor winding is outside the preset safe operating index range, stop the operation of the motor winding and send an operation fault instruction.

[0008] Preferably, the voltage data specifically includes the input terminal operating voltage value and the output terminal operating voltage value of the motor winding. The current data specifically includes the input terminal operating current value and the output terminal operating current value of the motor winding. The magnetic field data is specifically the magnetic field strength value within the set area of the motor winding. The phase data specifically includes the input terminal operating current phase value, input terminal operating voltage phase value, output terminal operating current phase value, and output terminal operating voltage phase value of the motor winding.

[0009] Preferably, the specific formula for calculating the operating fault evaluation index of the motor winding is as follows: ; Among them, is the operating fault evaluation index of the motor winding, is the operating voltage change evaluation index of the motor winding, is the voltage coefficient stored in the database, is the operating current change evaluation index of the motor winding, is the current coefficient stored in the database, is the operating magnetic field change evaluation index of the motor winding, is the magnetic field coefficient stored in the database, is the operating phase deviation evaluation index of the motor winding, is the phase coefficient stored in the database, , e is the natural constant.

[0010] Preferably, the specific steps for obtaining the operating voltage change evaluation index of the motor winding are as follows: Obtain the reference value of the operating voltage at the input end and the reference value of the operating voltage at the output end of the motor winding; Combined with the weighted average method, comprehensively analyze the operating voltage value at the input end and the reference value of the operating voltage at the input end of the motor winding at each time point to obtain the evaluation index of the change in the operating voltage at the input end of the motor winding; Combined with the moving exponential average method, comprehensively analyze the operating voltage value at the output end and the reference value of the operating voltage at the output end of the motor winding at each time point to obtain the evaluation index of the change in the operating voltage at the output end of the motor winding; Comprehensively analyze the evaluation index of the change in the operating voltage at the input end and the evaluation index of the change in the operating voltage at the output end of the motor winding to obtain the evaluation index of the change in the operating voltage of the motor winding; Among them, the specific steps to obtain the reference value of the operating voltage at the input end and the reference value of the operating voltage at the output end of the motor winding are as follows: Respectively obtain the historical input operating voltage value and the historical output operating voltage value of the motor winding during normal operation at a number of historical time points, and record them as and , represents the historical input operating voltage value of the motor winding during normal operation at the u-th historical time point, represents the historical output operating voltage value of the motor winding during normal operation at the u-th historical time point, , represents the number of historical time points obtained; Based on the historical input operating voltage value and the historical output operating voltage value of the motor winding during normal operation at a number of historical time points, respectively determine the reference value of the operating voltage at the input end and the reference value of the operating voltage at the output end : .

[0011] Preferably, the specific formulas for calculating the evaluation index of the change in the operating voltage at the input end, the evaluation index of the change in the operating voltage at the output end, and the evaluation index of the change in the operating voltage are as follows: ; Among them, is the evaluation index of the change in the operating voltage at the input end of the motor winding, is the operating voltage value at the input end of the motor winding at the i-th time point, is 's weighting coefficient, is the evaluation index of the change in the operating voltage at the output end of the motor winding, is the operating voltage value at the output end of the motor winding at the i-th time point, is The weight coefficient is the operating voltage value at the output end of the motor winding at the (i + 1)-th time point. is The weight coefficient , , is the number of time points. is the evaluation index of the operating voltage change of the motor winding. is the input voltage regulation coefficient stored in the database. is the output voltage regulation coefficient stored in the database. .

[0012] Preferably, the specific steps to obtain the evaluation index of the operating current change of the motor winding are as follows: Obtain the reference value of the operating current at the input end and the reference value of the operating current at the output end of the motor winding; Comprehensively analyze the operating current value at the input end of the motor winding at each time point in combination with the reference value of the operating current at the input end to obtain the evaluation index of the operating current change at the input end of the motor winding; Comprehensively analyze the operating current value at the output end of the motor winding at each time point in combination with the reference value of the operating current at the output end to obtain the evaluation index of the operating current change at the output end of the motor winding; Comprehensively analyze the evaluation index of the operating current change at the input end and the evaluation index of the operating current change at the output end of the motor winding to obtain the evaluation index of the operating current change of the motor winding; Among them, the specific steps to obtain the reference value of the operating current at the input end and the reference value of the operating current at the output end of the motor winding are as follows: Respectively obtain the historical input-end operating current value and the historical output-end operating current value of the motor winding during normal operation at a number of historical time points, and record them as and , represents the historical input-end operating current value of the motor winding during normal operation at the u-th historical time point, represents the historical output-end operating current value of the motor winding during normal operation at the u-th historical time point, , represents the number of historical time points obtained; Based on the historical input-end operating current value and the historical output-end operating current value of the motor winding during normal operation at a number of historical time points, respectively determine the reference value of the operating current at the input end and the reference value of the operating current at the output end of the motor winding: .

[0013] Preferably, the specific formulas for calculating the input - end operating current change evaluation index, output - end operating current change evaluation index, and operating current change evaluation index of the motor winding are as follows: ; Among them, is the input - end operating current change evaluation index of the motor winding, is the input - end operating current value of the motor winding at the i - th time point, is the output - end operating current change evaluation index of the motor winding, is the output - end operating current value of the motor winding at the i - th time point, , is the number of time points, is the operating current change evaluation index of the motor winding, is the input current adjustment coefficient stored in the database, is the output current adjustment coefficient stored in the database, .

[0014] Preferably, the specific steps for obtaining the operating magnetic - field change evaluation index of the motor winding are as follows: Obtain the maximum reference value of the magnetic - field intensity in the set area of the motor winding; Compare and analyze the magnetic - field intensity values in the set area of the motor winding at each time point to obtain the maximum magnetic - field intensity value in the set area of the motor winding; Comprehensively analyze the maximum magnetic - field intensity value in the set area of the motor winding and the maximum reference value of the magnetic - field intensity to obtain the operating magnetic - field change evaluation index of the motor winding; Among them, the specific steps for obtaining the maximum reference value of the magnetic - field intensity in the set area of the motor winding are as follows: Obtain the historical magnetic - field intensity values in the set area of the motor winding during the normal operation of the motor winding at several historical time points, and denote them as , representing the historical magnetic - field intensity value in the set area of the motor winding during the normal operation of the motor winding at the u - th historical time point, , represents the number of historical time points obtained; Based on the historical magnetic - field intensity values in the set area of the motor winding during the normal operation of the motor winding at several historical time points, determine the maximum reference value of the magnetic - field intensity in the set area of the motor winding : ; Among them, the specific formula for calculating the operating magnetic - field change evaluation index of the motor winding is as follows: ; Among them, is the evaluation index for the change of the operating magnetic field of the motor winding, is the maximum value of the magnetic field strength within the set area of the motor winding.

[0015] Preferably, the specific steps to obtain the evaluation index of the operating phase deviation of the motor winding are as follows: Obtain the reference value of the input phase deviation and the reference value of the output phase deviation of the motor winding; Comprehensively analyze the input operating current phase value and the input operating voltage phase value of the motor winding at each time point in combination with the reference value of the input phase deviation respectively, to obtain the evaluation index of the input operating phase deviation of the motor winding; Comprehensively analyze the output operating current phase value and the output operating voltage phase value of the motor winding at each time point in combination with the reference value of the output phase deviation respectively, to obtain the evaluation index of the output operating phase deviation of the motor winding; Comprehensively analyze the evaluation index of the input operating phase deviation and the evaluation index of the output operating phase deviation of the motor winding to obtain the evaluation index of the operating phase deviation of the motor winding.

[0016] Preferably, the specific formulas for calculating the evaluation index of the input operating phase deviation, the evaluation index of the output operating phase deviation, and the evaluation index of the operating phase deviation of the motor winding are as follows: ; Wherein, is the evaluation index of the input operating phase deviation of the motor winding, is the input operating voltage phase value of the motor winding at the i-th time point, is the input operating current phase value of the motor winding at the i-th time point, is the reference value of the input phase deviation of the motor winding, is the evaluation index of the output operating phase deviation of the motor winding, is the output operating voltage phase value of the motor winding at the i-th time point, is the output operating current phase value of the motor winding at the i-th time point, is the reference value of the output phase deviation of the motor winding, , is the number of time points, is the evaluation index of the operating phase deviation of the motor winding, is the input phase deviation coefficient stored in the database, is the output phase deviation coefficient stored in the database, .

[0017] The present invention has the following beneficial effects: By comprehensively analyzing the voltage, current, magnetic field, and phase data of the motor winding, the present invention can more comprehensively monitor the operating state of the motor, detect abnormal changes in a timely manner. Compared with traditional fault diagnosis that relies on a single data source, this multi-information analysis-based method can more accurately predict and diagnose various complex faults, such as current imbalance, magnetic field abnormality, or phase deviation, thus greatly improving the efficiency and effectiveness of fault handling.

[0018] Through continuous monitoring and real-time data analysis, the present invention can give an early warning before the fault develops to a serious stage, allowing for timely maintenance or adjustment, avoiding sudden shutdowns and possible equipment damage caused by faults. This preventive fault diagnosis and handling mechanism can significantly reduce maintenance and downtime costs, and increase the reliability and lifespan of the equipment.

[0019] The present invention is not limited to fault detection, but can also provide data support for the performance optimization of the motor winding. By analyzing the interaction between the current, voltage, magnetic field, and phase of the motor in detail, it is possible to better understand the behavior of the motor under different operating conditions, thereby optimizing its performance and efficiency. For example, by adjusting the motor load or power supply configuration to improve its operating efficiency, or by adjusting the preventive maintenance plan and cycle according to the monitoring data to adapt to the actual usage conditions. This method provides an efficient means to ensure the optimal operating state of the motor winding and enhance its overall economic benefits and operational safety.

[0020] Of course, any product implementing the present invention does not necessarily need to achieve all of the above advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a flowchart of the method of the present invention; Figure 2 is a detailed flowchart of the specific steps for obtaining the evaluation index of the operating current change in the method of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0022] Example 1: This embodiment relates to a method for diagnosing motor winding faults based on multi-information analysis. First, during the operation of the motor winding, key operating state data is continuously acquired, including voltage and current values at the input and output ends, magnetic field intensity within a set area, and voltage and current phase values at the input and output ends. The collected data is preprocessed to ensure the quality and usability of the data, preparing for subsequent analysis. Then, time series analysis is performed on the preprocessed data to calculate various evaluation indices reflecting the operating state of the motor, including current change evaluation index, voltage change evaluation index, magnetic field change evaluation index, and phase deviation evaluation index. These indices are based on time series data analysis and can dynamically reflect the operating characteristics and potential abnormal states of the motor winding. The calculated indices are comprehensively analyzed to obtain a summary motor winding operation fault evaluation index. This comprehensive evaluation index is compared with the preset safe operation index range to determine whether the motor winding is in a normal operating state. If the evaluation index exceeds the safe range, the operation of the motor winding is immediately stopped to prevent further deterioration of the fault.

[0023] As Figure 1 shown, the method for diagnosing motor winding faults based on multi-information analysis includes the following steps: When the motor winding is working, continuously acquire the operating state data of the motor winding at several time points and perform preprocessing. The operating state data includes voltage data, current data, magnetic field data, and phase data. Perform time series analysis on the preprocessed operating state data of the motor winding at several time points respectively to obtain the operating current change evaluation index, operating voltage change evaluation index, operating magnetic field change evaluation index, and operating phase deviation evaluation index of the motor winding. Comprehensively analyze the operating current change evaluation index, operating voltage change evaluation index, operating magnetic field change evaluation index, and operating phase deviation evaluation index of the motor winding to obtain the motor winding operation fault evaluation index. Determine whether the motor winding operation fault evaluation index is within the preset safe operation index range. If the motor winding operation fault evaluation index is within the preset safe operation index range, no measures are taken. If the motor winding operation fault evaluation index is outside the preset safe operation index range, stop the operation of the motor winding and send an operation fault instruction to the relevant staff.

[0024] The voltage data specifically includes the operating voltage values at the input and output ends of the motor winding, which are acquired through voltage sensors.

[0025] The current data specifically includes the operating current values at the input and output ends of the motor winding, which are acquired through current sensors.

[0026] The magnetic field data specifically refers to the magnetic field intensity values within the set area of the motor winding, which are obtained by placing magnetic field sensors around the motor winding or in specific areas, such as Hall effect sensors or magnetometers.

[0027] The phase data specifically includes the operating current phase value, operating voltage phase value at the input end of the motor winding, operating current phase value, and operating voltage phase value at the output end, which are obtained by a phase measuring instrument or a synchronous phase meter.

[0028] The specific formula for calculating the operating fault evaluation index of the motor winding is as follows: ; Among them, is the operating fault evaluation index of the motor winding, is the operating voltage change evaluation index of the motor winding, is the voltage coefficient stored in the database, is the operating current change evaluation index of the motor winding, is the current coefficient stored in the database, is the operating magnetic field change evaluation index of the motor winding, is the magnetic field coefficient stored in the database, is the operating phase deviation evaluation index of the motor winding, is the phase coefficient stored in the database, , where e is the natural constant.

[0029] , , , The specific calculation methods of

[0030] are as follows: Normalize the sum of the operating voltage values, the sum of the operating current values, the maximum reference value of the magnetic field intensity within the set area of the motor winding, and the sum of the operating phase values (i.e., remove the units), and then perform a summation analysis after the processing to obtain the evaluation sum value. Then, perform a ratio analysis of the normalized sum of the operating voltage values, the sum of the operating current values, the maximum reference value of the magnetic field intensity within the set area of the motor winding, and the sum of the operating phase values with the evaluation sum value respectively, and the analysis results are the corresponding coefficients.

[0030] In this embodiment, by standardizing the operating voltage, current, magnetic field intensity, and phase data of the motor winding, then calculating the corresponding evaluation index, and dynamically adjusting the weight coefficient according to the actual operation data, specific and targeted fault analysis can be provided. This quantitative processing not only makes the data analysis more accurate but also can adjust the analysis weight according to the specific conditions of different motors to achieve personalized fault assessment, which is especially beneficial for motors with different operating environments, load conditions, and usage histories, ensuring the accuracy and relevance of fault diagnosis. This method evaluates the motor status by integrating the operating voltage, current, magnetic field, and phase data instead of relying on a single measurement data, making the fault analysis more comprehensive. The change of each parameter may indicate different types of potential problems.

[0031] By integrating these different signals, a more comprehensive understanding of the overall health status of the motor winding can be obtained. For example, abnormalities in voltage and current may indicate power supply problems or load abnormalities, while changes in magnetic field and phase may reveal deeper internal or electromagnetic compatibility problems within the motor. In the monitoring and analysis of the motor winding, real-time performance is crucial. By dynamically adjusting the evaluation coefficient and instantaneously calculating the fault evaluation index, this method can quickly respond to any changes during the operation of the motor, detect problems in a timely manner, and take measures. This real-time monitoring and evaluation mechanism can greatly reduce the downtime caused by faults, optimize the operating efficiency of the motor, thereby reducing maintenance costs and increasing productivity.

[0032] The specific steps to obtain the evaluation index of the operating voltage change of the motor winding are as follows: Obtain the reference value of the input operating voltage and the reference value of the output operating voltage of the motor winding; Combine the weighted average method to comprehensively analyze the input operating voltage value and the input operating voltage reference value of the motor winding at each time point to obtain the evaluation index of the input operating voltage change of the motor winding; Combine the moving average index method to comprehensively analyze the output operating voltage value and the output operating voltage reference value of the motor winding at each time point to obtain the evaluation index of the output operating voltage change of the motor winding; Comprehensively analyze the evaluation index of the input operating voltage change of the motor winding and the evaluation index of the output operating voltage change of the motor winding to obtain the evaluation index of the operating voltage change of the motor winding.

[0033] The specific steps to obtain the reference value of the input operating voltage and the reference value of the output operating voltage of the motor winding are as follows: Respectively obtain the historical input operating voltage values and historical output operating voltage values of the motor winding during normal operation at several historical time points, and record them as and , represents the historical input operating voltage value of the motor winding during normal operation at the u-th historical time point, represents the historical output operating voltage value of the motor winding during normal operation at the u-th historical time point. , represents the number of historical time points obtained; Based on the historical input terminal operating voltage values and historical output terminal operating voltage values of the motor winding during normal operation at a number of historical time points respectively, determine the reference value of the input terminal operating voltage of the motor winding and the reference value of the output terminal operating voltage : .

[0034] The specific formulas for calculating the evaluation index of the change in the input terminal operating voltage of the motor winding, the evaluation index of the change in the output terminal operating voltage, and the evaluation index of the change in the operating voltage are as follows: ; where is the evaluation index of the change in the input terminal operating voltage of the motor winding, is the input terminal operating voltage value of the motor winding at the i-th time point, is the weighting coefficient of is the evaluation index of the change in the output terminal operating voltage of the motor winding, is the output terminal operating voltage value of the motor winding at the i-th time point, is the weight coefficient of is the output terminal operating voltage value of the motor winding at the (i + 1)-th time point, is the weight coefficient of , , is the number of time points, is the input voltage adjustment coefficient stored in the database, is the output voltage adjustment coefficient stored in the database, .

[0035] The specific calculation method of

[0036] and The specific calculation method is as follows: The output terminal operating voltage values of the motor winding at the i-th and (i + 1)-th time points are respectively analyzed for the difference with the output terminal operating voltage reference value, and then the difference results are respectively analyzed for the ratio with the output terminal operating voltage reference value to obtain the output terminal operating voltage evaluation values at the i-th and (i + 1)-th time points, and a summation analysis is performed to obtain the output terminal operating voltage evaluation sum value of the i-th group. Then, the output terminal operating voltage evaluation values at the i-th and (i + 1)-th time points are respectively analyzed for the proportion with the output terminal operating voltage evaluation sum value of the i-th group, and the analysis result is the corresponding weight coefficient.

[0037] In this embodiment, by comparing and analyzing the voltage value at each time point with the reference value, and then formulating the weighting coefficient according to the actual voltage change, a highly accurate method is provided to monitor the voltage state of the motor winding. By comparing the actual operating data with the historical normal values in detail, it is possible to customize and identify subtle abnormalities or long-term trend changes according to the specific motor winding characteristics and operating conditions. This method not only improves the accuracy of fault detection, but also allows the operator to adjust the monitoring strategy to adapt to the specific operating environment or the specific requirements of the motor winding.

[0038] By continuously monitoring the voltage change and calculating the voltage change evaluation index in real time, this method can timely capture any unusual fluctuations of the voltage, so as to quickly respond to potential motor faults. This is not limited to static fault diagnosis, but is a dynamic process that can adjust and optimize the fault detection parameters over time. This dynamic monitoring and instant response mechanism greatly enhances the maintenance team's control ability over the motor state and reduces the costs and losses caused by fault delays.

[0039] Using data-based analysis methods such as the weighted average method and the moving exponential average method, the voltage change evaluation not only depends on a single data point, but is a comprehensive judgment based on long-term data accumulation and trend analysis. This method uses historical data to determine the reference value and evaluates the changes in actual operation based on this, providing solid data support for maintenance decisions. This data-based method helps to reduce subjective judgment errors and ensure the objectivity and accuracy of fault diagnosis and subsequent maintenance decisions.

[0040] Such as Figure 2As shown in the figure, the specific steps to obtain the evaluation index of the operating current change of the motor winding are as follows: Obtain the reference value of the operating current at the input end and the reference value of the operating current at the output end of the motor winding; comprehensively analyze the operating current value at the input end of the motor winding at each time point in combination with the reference value of the operating current at the input end to obtain the evaluation index of the operating current change at the input end of the motor winding; comprehensively analyze the operating current value at the output end of the motor winding at each time point in combination with the reference value of the operating current at the output end to obtain the evaluation index of the operating current change at the output end of the motor winding; comprehensively analyze the evaluation index of the operating current change at the input end of the motor winding and the evaluation index of the operating current change at the output end of the motor winding to obtain the evaluation index of the operating current change of the motor winding.

[0041] The specific steps to obtain the reference value of the operating current at the input end and the reference value of the operating current at the output end of the motor winding are as follows: respectively obtain the historical operating current value at the input end and the historical operating current value at the output end of the motor winding during normal operation at several historical time points, and record them as and , represents the historical operating current value at the input end of the motor winding during normal operation at the u-th historical time point, represents the historical operating current value at the output end of the motor winding during normal operation at the u-th historical time point; respectively determine the reference value of the operating current at the input end and the reference value of the operating current at the output end of the motor winding based on the historical operating current value at the input end and the historical operating current value at the output end of the motor winding during normal operation at several historical time points: .

[0042] The specific formulas for calculating the evaluation index of the operating current change at the input end of the motor winding, the evaluation index of the operating current change at the output end of the motor winding, and the evaluation index of the operating current change are as follows: ; where is the evaluation index of the operating current change at the input end of the motor winding, is the operating current value at the input end of the motor winding at the i-th time point, is the evaluation index of the operating current change at the output end of the motor winding, is the operating current value at the output end of the motor winding at the i-th time point, is the input current adjustment coefficient stored in the database, is the output current adjustment coefficient stored in the database, .

[0043] 、 The specific calculation method is as follows: Sum and analyze the input - end operating current reference value and the output - end operating current reference value of the motor winding to obtain the sum value of the operating current. Then, perform a ratio analysis of the input - end operating current reference value and the output - end operating current reference value of the motor winding with the sum value of the operating current respectively. The analysis results are the corresponding adjustment coefficients.

[0044] In this embodiment, by separately analyzing the operating currents at the input and output ends of the motor winding and comparing these data with historical reference values, small changes in the current can be more accurately identified. These changes may indicate potential problems with the motor winding. For example, abnormal increases or decreases in the current may indicate electrical faults, insulation damage, or overload conditions. This method enables more precise fault diagnosis through independent monitoring of the current at each port, can timely detect and locate the fault source, and thus intervene before the problem worsens. By using historical data to determine the reference value of the current and combining it with real - time data for dynamic comparative analysis, it not only enhances the real - time monitoring of the motor operating state but also provides solid data support for operation and maintenance decisions.

[0045] By comprehensively analyzing the current change evaluation indices at the input and output ends, a more comprehensive understanding of the performance of the motor winding under different operating conditions can be obtained, providing a basis for maintenance plans and optimized operations. This method enables maintenance work to shift from after - the - fact repair to preventive maintenance, effectively extending the service life of the motor and reducing unplanned downtime. By continuously monitoring and analyzing the current changes in the motor winding, the energy efficiency of the motor can be evaluated and its performance optimized. If the current value indicates an unexpected efficiency, it may mean that the motor is not operating at its best. At this time, operating parameters can be adjusted or necessary maintenance can be carried out to ensure that the motor operates at its best efficiency. This detailed current analysis helps enterprises reduce energy consumption, lower operating costs, and support environmental sustainability goals.

[0046] The specific steps to obtain the evaluation index of the operating magnetic - field change of the motor winding are as follows: Obtain the maximum reference value of the magnetic - field intensity within the set area of the motor winding; Compare and analyze the magnetic - field intensity values within the set area of the motor winding at each time point to obtain the maximum value of the magnetic - field intensity within the set area of the motor winding; Comprehensively analyze the maximum value of the magnetic - field intensity within the set area of the motor winding and the maximum reference value of the magnetic - field intensity to obtain the evaluation index of the operating magnetic - field change of the motor winding. Its calculation formula is as follows: ; where is the maximum value of the magnetic - field intensity within the set area of the motor winding, is the maximum reference value of the magnetic - field intensity within the set area of the motor winding.

[0047] Among them, the specific steps to obtain the maximum reference value of the magnetic field strength in the set area of the motor winding are as follows: Obtain the historical magnetic field strength values in the set area of the motor winding during the normal operation of the motor winding at a number of historical time points, and record them as , representing the historical magnetic field strength value in the set area of the motor winding during the normal operation of the motor winding at the u-th historical time point; Based on the historical magnetic field strength values in the set area of the motor winding during the normal operation of the motor winding at a number of historical time points, determine the maximum reference value of the magnetic field strength in the set area of the motor winding : .

[0048] In this embodiment, by continuously monitoring the magnetic field strength of the motor winding and comparing it with the maximum reference value calculated from the historical data, this method can accurately evaluate the real-time change of the magnetic field. The magnetic field plays a key role in the operation of the motor, and its change is often directly related to the health state of the internal components of the motor, such as the loss of the winding, the saturation or damage of the iron core, etc. By accurately monitoring the magnetic field strength, the magnetic field anomaly caused by the above problems can be detected in time, so as to carry out maintenance or repair before the problem deteriorates and avoid more serious mechanical failures. This method is not limited to reactive fault response. More importantly, it provides a tool for preventive fault diagnosis.

[0049] By continuously analyzing the change of the magnetic field of the motor winding, the small changes and trends that may lead to future failures can be identified. For example, a slight decrease in the magnetic field strength may indicate that the winding is starting to age or be damaged. Early identification and response to these problems can reduce unexpected downtime and expensive repair costs, improve production efficiency and safety. Using historical data to determine the reference value of the magnetic field and comparing it with real-time data, this data-based method makes the maintenance strategy more scientific and accurate, no longer relying on a fixed maintenance schedule or only performing maintenance when obvious failures occur, but planning maintenance activities according to the actual operation situation of the motor. This can optimize the use of maintenance resources, extend the equipment life, and at the same time reduce unnecessary maintenance work and related costs.

[0050] The specific steps to obtain the operating phase deviation evaluation index of the motor winding are as follows: Obtain the reference value of the input phase deviation and the reference value of the output phase deviation of the motor winding; comprehensively analyze the operating current phase value and the operating voltage phase value at the input end of the motor winding at each time point in combination with the reference value of the input phase deviation to obtain the operating phase deviation evaluation index at the input end of the motor winding; comprehensively analyze the operating current phase value and the operating voltage phase value at the output end of the motor winding at each time point in combination with the reference value of the output phase deviation to obtain the operating phase deviation evaluation index at the output end of the motor winding; comprehensively analyze the operating phase deviation evaluation index at the input end of the motor winding and the operating phase deviation evaluation index at the output end of the motor winding to obtain the operating phase deviation evaluation index of the motor winding.

[0051] The specific formulas for calculating the operating phase deviation evaluation index at the input end of the motor winding, the operating phase deviation evaluation index at the output end of the motor winding, and the operating phase deviation evaluation index are as follows: ; Where, is the operating phase deviation evaluation index at the input end of the motor winding, is the operating voltage phase value at the input end of the motor winding at the i-th time point, is the operating current phase value at the input end of the motor winding at the i-th time point, is the reference value of the input phase deviation of the motor winding, is the operating phase deviation evaluation index at the output end of the motor winding, is the operating voltage phase value at the output end of the motor winding at the i-th time point, is the operating current phase value at the output end of the motor winding at the i-th time point, is the reference value of the output phase deviation of the motor winding, is the input phase deviation coefficient stored in the database, is the output phase deviation coefficient stored in the database, .

[0052] The specific method for obtaining the reference value of the input phase deviation of the motor winding is: Obtain the historical operating current phase value and the historical operating voltage phase value at the input end of the motor winding during normal operation at several historical time points, and perform difference mean analysis (specifically voltage phase - current phase) to obtain the reference value of the input phase deviation of the motor winding.

[0053] The specific method for obtaining the reference value of the output terminal phase deviation of the motor winding is as follows: Obtain the historical output terminal operating current phase values and historical output terminal operating voltage phase values when the motor winding is operating normally at several historical time points, and perform difference mean analysis (specifically, voltage phase - current phase) to obtain the reference value of the output terminal phase deviation of the motor winding.

[0054] 、 The specific calculation method of is as follows: Sum and analyze the reference value of the input terminal phase deviation and the reference value of the output terminal phase deviation of the motor winding to obtain the sum of the operating phases. Then, perform ratio analysis on the reference value of the input terminal phase deviation and the reference value of the output terminal phase deviation of the motor winding respectively with the sum of the operating phases, and the analysis results are the corresponding deviation coefficients.

[0055] In this embodiment, by analyzing in detail the phase deviations at the input and output terminals of the motor winding, this method can accurately identify problems caused by phase asynchronization, which may stem from unbalanced loads of the motor, poor electrical connections, or other electrical faults. The accurate measurement and evaluation of phase deviations help to detect these problems in a timely manner, prevent them from evolving into more serious faults, thereby maintaining the healthy state of the motor and ensuring its stable operation.

[0056] By monitoring and analyzing the phase values at each time point, the performance changes of the motor winding can be tracked in real time. This continuous monitoring can not only be used to detect emergencies but also to analyze the motor operation trends, thereby predicting possible long-term problems. In addition, real-time data analysis enables immediate adjustment of operation strategies to optimize the performance and efficiency of the motor. By establishing reference values based on historical data and comparing them with real-time data, this method supports condition-based maintenance (CBM) strategies. The continuous monitoring and evaluation of phase deviations help to determine the optimal maintenance time, reduce unnecessary preventive maintenance and emergency repairs, lower maintenance costs, and increase equipment availability. In addition, through accurate phase deviation analysis, the commissioning and adjustment processes of the motor can be optimized to ensure that the motor operates in the best working state, further improving energy efficiency and reducing operating costs.

[0057] When calculating each formula in this embodiment, normalization or dimensionless processing can be performed as needed.

[0058] An example of the calculation data of the operating phase deviation evaluation index of the motor winding is as follows in the table: Table 1 Example of the calculation data of the operating phase deviation evaluation index of the motor winding

[0059] In the table, the phase data of five time points are included, where is the running current phase value of the input end of the motor winding at the i-th time point, is the running voltage phase value of the input end of the motor winding at the i-th time point, is the running current phase value of the output end of the motor winding at the i-th time point, is the running voltage phase value of the output end of the motor winding at the i-th time point.

[0060] And in this embodiment, the reference value of the input end phase deviation is 2 degrees (that is, the voltage phase is usually 2 degrees higher than the current phase).

[0061] The reference value of the output end phase deviation is 1 degree.

[0062] 、 The specific values of are 0.48 and 0.52 respectively.

[0063] Substitute the above data into the specific formulas for calculating the running phase deviation evaluation index of the input end of the motor winding, the running phase deviation evaluation index of the output end, and the running phase deviation evaluation index respectively to obtain the following data: Running phase deviation evaluation index of the input end: 1.75.

[0064] Running phase deviation evaluation index of the output end: 1.35.

[0065] Final running phase deviation evaluation index: 1.558.

[0066] Embodiment 2: On the basis of Embodiment 1, this embodiment further includes the following improvements: When performing timing analysis, introduce a load matching correction mechanism: monitor the external load fluctuation characteristics of the motor in real time, establish a dynamic correlation model between the load change rate and each evaluation index; when a load mutation is detected, automatically adjust the weight coefficient distribution of the voltage and current evaluation indexes, and start the auxiliary diagnosis module of the magnetic field strength change rate; at the same time, dynamically calibrate the safe operating index range according to the historical data of the load condition, so that the fault judgment threshold is adaptively adjusted according to the load stability. This improvement significantly improves the false alarm suppression ability in the heavy load fluctuation scenario by integrating load state perception and multi-parameter coupling analysis.

[0067] In phase deviation analysis, integrated temperature drift compensation is carried out: temperature sensors are deployed at key positions of the motor windings to obtain real-time winding operating temperature data; a temperature-phase deviation compensation curve is established to dynamically correct the reference values of the phase deviations at the input and output ends; when the temperature exceeds the set threshold, the frequency-domain and harmonic analysis of the phase data are synchronously started to detect the phase distortion characteristics in specific frequency bands. This improvement effectively improves the recognition accuracy of high-temperature working conditions and early insulation deterioration by eliminating the reference drift error caused by temperature and superimposing high-frequency harmonic feature detection.

Claims

1. A motor winding fault diagnosis method based on multi-information analysis, characterized in that: The following steps are involved: When the motor winding is working, the motor winding operation status data at several time points is continuously acquired and preprocessed, the operation status data including voltage data, current data, magnetic field data and phase data; The motor winding operation status data at several time points after preprocessing are respectively subjected to time series analysis to obtain the motor winding operation current change assessment index, operation voltage change assessment index, operation magnetic field change assessment index, and operation phase deviation assessment index; Comprehensively analyze the motor winding operation current change assessment index, operation voltage change assessment index, operation magnetic field change assessment index, and operation phase deviation assessment index to obtain the motor winding operation fault assessment index; Determine whether the motor winding operation fault assessment index is within the preset safe operation index range; If the motor winding operation fault assessment index is within the preset safe operation index range, no measures are taken; If the motor winding operation fault assessment index is outside the preset safe operation index range, the motor winding operation is stopped and an operation fault instruction is sent.

2. The motor winding fault diagnosis method based on multi-information analysis according to claim 1 is characterized in that: The voltage data specifically includes the input end operating voltage value and the output end operating voltage value of the motor winding, the current data specifically includes the input end operating current value and the output end operating current value of the motor winding, the magnetic field data specifically is the magnetic field strength value within the set area of ​​the motor winding, and the phase data specifically includes the input end operating current phase value, input end operating voltage phase value, output end operating current phase value, and output end operating voltage phase value of the motor winding.

3. The motor winding fault diagnosis method based on multi-information analysis according to claim 1 is characterized in that: The specific formula for calculating the motor winding operation fault assessment index is as follows: ； in, is the motor winding operating fault assessment index, It is the evaluation index of the running voltage variation of the motor winding. is the voltage coefficient stored in the database, It is the evaluation index of the running current variation of the motor winding. is the current coefficient stored in the database, It is the evaluation index of the running magnetic field change of the motor winding. is the magnetic field coefficient stored in the database, is the operating phase deviation evaluation index of the motor winding, is the phase coefficient stored in the database, , e is a natural constant.

4. The motor winding fault diagnosis method based on multi-information analysis according to claim 2 is characterized in that: The specific steps for obtaining the operating voltage variation evaluation index of the motor winding are as follows: Obtaining an input-end operating voltage reference value and an output-end operating voltage reference value of a motor winding; Combined with the weighted average method, a comprehensive analysis is performed on the input terminal operating voltage value and the input terminal operating voltage reference value of the motor winding at each time point to obtain the input terminal operating voltage change evaluation index of the motor winding; Combined with the moving exponential average method, a comprehensive analysis is performed on the output end operating voltage value and the output end operating voltage reference value of the motor winding at each time point to obtain the output end operating voltage change evaluation index of the motor winding; Comprehensively analyzing the input-end operation voltage variation evaluation index and the output-end operation voltage variation evaluation index of the motor winding, to obtain the motor winding operation voltage variation evaluation index; The specific steps of obtaining the input end operating voltage reference value and the output end operating voltage reference value of the motor winding are as follows: The historical input terminal operating voltage value and the historical output terminal operating voltage value of the motor winding when it is operating normally at several historical time points are obtained respectively, and recorded as and , Indicates the historical input terminal operating voltage value when the motor winding is operating normally at the u-th time point in history, Indicates the historical output terminal operating voltage value when the motor winding is operating normally at the u-th time point in history, , Indicates the number of historical time points obtained; Based on the historical input terminal operating voltage values ​​and the historical output terminal operating voltage values ​​of the motor winding when the motor winding is operating normally at several historical time points, the input terminal operating voltage reference value of the motor winding is determined. and output voltage reference value : 。 5. The motor winding fault diagnosis method based on multi-information analysis according to claim 4 is characterized in that: The specific formulas for calculating the input end operating voltage change assessment index, output end operating voltage change assessment index, and operating voltage change assessment index of the motor winding are as follows: ； in, It is the evaluation index of the voltage variation at the input end of the motor winding. is the input voltage value of the motor winding at the i-th time point, for The weighting coefficient of It is the evaluation index of the output voltage variation of the motor winding. is the output voltage value of the motor winding at the i-th time point, for The weight coefficient of is the output voltage value of the motor winding at the i+1th time point, for The weight coefficient of , , is the number of time points, It is the evaluation index of the running voltage variation of the motor winding. is the input voltage regulation coefficient stored in the database, is the output voltage regulation coefficient stored in the database, .

6. The motor winding fault diagnosis method based on multi-information analysis according to claim 2 is characterized in that: The specific steps for obtaining the running current variation evaluation index of the motor winding are as follows: Obtaining the input end running current reference value and the output end running current reference value of the motor winding; The input end running current value of the motor winding at each time point is combined with the input end running current reference value to perform a comprehensive analysis to obtain the input end running current change evaluation index of the motor winding; The output end running current value of the motor winding at each time point is combined with the output end running current reference value to perform a comprehensive analysis to obtain the output end running current change evaluation index of the motor winding; Comprehensively analyzing the input end running current change evaluation index and the output end running current change evaluation index of the motor winding to obtain the running current change evaluation index of the motor winding; The specific steps of obtaining the input end running current reference value and the output end running current reference value of the motor winding are as follows: The historical input terminal operating current values ​​and the historical output terminal operating current values ​​of the motor windings during normal operation at several historical time points are obtained respectively, and recorded as and , Indicates the historical input terminal operating current value when the motor winding is operating normally at the u-th time point in history, Indicates the historical output terminal operating current value when the motor winding is operating normally at the u-th time point in history, , Indicates the number of historical time points obtained; Based on the historical input end operating current values ​​and the historical output end operating current values ​​of the motor winding when the motor winding is operating normally at several historical time points, the input end operating current reference value of the motor winding is determined. and output operating current reference value : 。 7. The motor winding fault diagnosis method based on multi-information analysis according to claim 6 is characterized in that: The specific formulas for calculating the input end running current change assessment index, output end running current change assessment index, and running current change assessment index of the motor winding are as follows: ； in, It is the evaluation index of the running current variation at the input end of the motor winding. is the running current value of the input end of the motor winding at the i-th time point, It is the evaluation index of the output current change of the motor winding. is the output running current value of the motor winding at the i-th time point, , is the number of time points, It is the evaluation index of the running current variation of the motor winding. is the input current regulation coefficient stored in the database, is the output current regulation coefficient stored in the database, .

8. The motor winding fault diagnosis method based on multi-information analysis according to claim 2 is characterized in that: The specific steps for obtaining the running magnetic field change evaluation index of the motor winding are as follows: Obtain the maximum reference value of the magnetic field strength within the set area of ​​the motor winding; Compare and analyze the magnetic field strength values ​​within the motor winding setting area at each time point to obtain the maximum magnetic field strength within the motor winding setting area; Comprehensively analyze the maximum magnetic field intensity within the set area of ​​the motor winding and the maximum reference value of the magnetic field intensity to obtain the running magnetic field change evaluation index of the motor winding; The specific steps for obtaining the maximum reference value of the magnetic field strength in the set area of ​​the motor winding are as follows: Obtain the historical magnetic field strength values ​​within the set area of ​​the motor winding when the motor winding is operating normally at several historical time points, and record them as , represents the historical magnetic field strength value in the set area of ​​the motor winding when the motor winding is operating normally at the u-th time point in history, , Indicates the number of historical time points obtained; Based on the historical magnetic field strength values ​​in the motor winding setting area when the motor winding is operating normally at several historical time points, the maximum reference value of the magnetic field strength in the motor winding setting area is determined : ； The specific formula for calculating the running magnetic field change evaluation index of the motor winding is as follows: ； in, It is the evaluation index of the running magnetic field change of the motor winding. Sets the maximum magnetic field strength in the area for the motor windings.

9. The motor winding fault diagnosis method based on multi-information analysis according to claim 2, characterized in that: The specific steps for obtaining the running phase deviation evaluation index of the motor winding are as follows: Obtaining a phase deviation reference value at the input end and a phase deviation reference value at the output end of the motor winding; The input end operation current phase value and the input end operation voltage phase value of the motor winding at each time point are respectively combined with the input end phase deviation reference value to obtain the input end operation phase deviation evaluation index of the motor winding; The output end operation current phase value and the output end operation voltage phase value of the motor winding at each time point are respectively combined with the output end phase deviation reference value to obtain the output end operation phase deviation evaluation index of the motor winding; A comprehensive analysis is performed on the input-end operating phase deviation evaluation index and the output-end operating phase deviation evaluation index of the motor winding to obtain the operating phase deviation evaluation index of the motor winding.

10. The motor winding fault diagnosis method based on multi-information analysis according to claim 9, characterized in that: The specific formulas for calculating the input end operation phase deviation evaluation index, output end operation phase deviation evaluation index, and operation phase deviation evaluation index of the motor winding are as follows: ； in, Run a phase deviation evaluation index for the input side of the motor winding, is the operating voltage phase value of the input end of the motor winding at the i-th time point, is the operating current phase value of the input end of the motor winding at the i-th time point, is the reference value of the phase deviation at the input end of the motor winding, Run the phase deviation evaluation index for the output side of the motor winding, is the operating voltage phase value of the output end of the motor winding at the i-th time point, is the output current phase value of the motor winding at the i-th time point, is the reference value of the phase deviation at the output end of the motor winding, , is the number of time points, is the operating phase deviation evaluation index of the motor winding, is the input phase deviation coefficient stored in the database, is the output phase deviation coefficient stored in the database, .

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