Method for Evaluating Health Status and Full Life of Induction Motor

Abstract

The present invention discloses a method for evaluating the health status and full life of an induction motor, which relates to the technical field of induction motor detection. By obtaining a number of evaluation points of a target object, and at the same time obtaining the damage information of a number of scrapped target objects at the last time before scrapping, the damaged targets are determined according to the damage information; then the damaged targets are combined one by one to form a number of damage groups, and the inspection groups are determined according to the number of damage groups; then any target object is monitored in real time, and abnormal evaluation points are obtained. When the abnormal evaluation points include all the damaged targets, it indicates that the corresponding target object should analyze whether it needs to be scrapped; then it is determined whether the target object needs to be scrapped according to the maintenance record of the target object; the present invention is simple and effective and easy to use.

Description

Technical Field

[0001] The present invention belongs to the technical field of induction motor detection, and specifically relates to a method for evaluating the health status and full life of an induction motor. Background Art

[0002] The patent with the publication number CN113125954A discloses a fault diagnosis method and application for an electric vehicle drive motor, belonging to the technical field of vehicle monitoring. Aiming at the problems that the existing electric vehicle motor drive cannot achieve predictive maintenance and online health detection, etc., the present invention provides a fault diagnosis method. First, analyze and analyze the fault formation mechanism of the electric vehicle drive motor; secondly, build a mathematical model and fault mechanism theory, and establish the relationship and calculation method between the faults of the electric vehicle drive motor and measurable signals; then measure the magnetic field and port parameters of the electric vehicle in real time. Conduct data analysis, and dynamically update the built component health model to realize the detection of the motor state for decision-making. The present invention combines giant magnetoresistance and long-period fiber grating sensing technologies for the first time and applies them to the fault diagnosis of electric vehicles, realizes the monitoring of the motor state throughout the life cycle, can reduce the operation and maintenance costs of vehicles, and improve the reliability and intelligence of the electric drive system of electric vehicles.

[0003] However, for induction motors, there are many existing technologies on how to specifically give a method for evaluating their lifespan. However, specifically how to evaluate the lifespan, at what time to determine that the corresponding induction motor should undergo lifespan evaluation, and how to determine that the induction motor should be replaced are problems. Based on this, a solution is proposed. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; for this purpose, the present invention proposes a method for evaluating the health status and full life of an induction motor, which specifically includes the following steps:

[0005] Obtain a number of evaluation points of the target object, where the target object is the induction motor, and the evaluation points are the monitored parameters selected for the corresponding induction motor;

[0006] Obtain the last damage information of a number of scrapped target objects before scrapping. The damage information includes damage evaluation points. Determine the occurrence ratio according to the number of occurrences of the damage evaluation points, and mark the damage evaluation points exceeding the set value X1 as damage targets;

[0007] In the order of decreasing the number of damage targets by one in turn, combine the damage targets once to form a number of damage groups;

[0008] Determine the homogeneous number of the damage group based on the damaged targets in any damage group appearing simultaneously in the damage information of the same target object; mark the damage group with the homogeneous number exceeding the set index number and containing the largest number of damaged targets as the inspection group;

[0009] Then, conduct real-time monitoring on any target object to obtain abnormal evaluation points. When the abnormal evaluation points include all the damaged targets, a warning signal is generated.

[0010] Furthermore, the evaluation points include the internal temperature of the motor, the vibration condition of the motor, current, voltage, power, and temperature monitored in real time by means of a temperature sensor;

[0011] The vibration condition of the motor includes two parameters: amplitude and vibration frequency;

[0012] The internal temperature includes the temperature of the winding and the bearing.

[0013] Furthermore, the specific method for determining the damaged targets is as follows:

[0014] Obtain a number of scrapped target objects and the damage information at the last time before being processed. The damage information includes damage evaluation points, and the damage evaluation points refer to the evaluation points that were abnormal when the abnormality occurred last time;

[0015] Based on the damage evaluation points in the damage information of all scrapped induction motors, obtain the number of occurrences of each damage evaluation point, and divide this number by the number of scrapped induction motors to obtain a value marked as the occurrence ratio;

[0016] Mark all the damage evaluation points with an occurrence ratio exceeding the set value X1 as damaged targets, and obtain all the damaged targets.

[0017] Furthermore, the inspection group is obtained through a data combination method. The specific method of data combination is as follows:

[0018] First, obtain all the damaged targets as a damage group, and obtain the homogeneous number of this damage group. The homogeneous number is determined as follows: when all the damage evaluation points in the damage information of any target object contain all the damaged targets, automatically increment the homogeneous number by one. Obtain the homogeneous number of the damage group in this way;

[0019] When the homogeneous number is lower than the set index number, the damage group will be removed at this time; otherwise, the damage group will be marked as the inspection group and the data combination will be stopped;

[0020] After that, subtract one from the number of damaged targets in the damage group, and mark the obtained value as the number of damaged targets in the new damage group. According to the number of damaged targets, randomly combine all the damaged targets into damage groups with the corresponding number to obtain several damage groups;

[0021] Obtain the homogeneous numbers of each damaged group. When there is no damaged group among all damaged groups whose homogeneous number exceeds the set index number, then delete all damaged groups. If there is any damaged group whose homogeneous number exceeds the set index number, then mark the corresponding damaged group as an inspection group;

[0022] When no inspection group is obtained, the number of damaged targets in a single damaged group will be automatically subtracted by one, and then recombined into several damaged groups, and the inspection group will be determined according to the homogeneous numbers. If not found, the number of damaged targets in the damaged group will be subtracted by one until an inspection group is found;

[0023] Obtain several inspection groups, keep the one with the largest number of damaged targets in the inspection groups, and remove the rest to obtain at least one inspection group.

[0024] Furthermore, when a warning signal is generated, a warning analysis will be carried out on the target object. The specific method of warning analysis is as follows:

[0025] First, obtain the maintenance records of the target object. The maintenance records include the maintenance objects and their corresponding maintenance times. The maintenance objects are the parts corresponding to the target object;

[0026] Obtain the number of maintenance objects, mark it as the object number, and then mark the value obtained by adding up all the maintenance times as the total maintenance value. Calculate the scrap number according to the object number and the total maintenance value. The calculation formula is:

[0027] Scrap number = 0.59 * object number + 0.41 * total maintenance value;

[0028] When the scrap number exceeds the scrap standard value, a scrap signal is generated, and the target object at this time is marked as a scrapped object;

[0029] The scrap standard value is confirmed by past analysis.

[0030] Furthermore, the maintenance times refer to the number of times any corresponding maintenance object is repaired. Repair refers to mending or replacement. When mending, the maintenance times are recorded as one. When replacing, the maintenance times are recorded as five.

[0031] Furthermore, the specific method of past analysis is as follows:

[0032] Obtain the maintenance records of several scrapped target objects;

[0033] Select the maintenance record of any scrapped target object, and obtain the maintenance objects and maintenance times in the maintenance record;

[0034] First, obtain the number of maintenance objects, mark it as the object number, and at the same time obtain the maintenance times. Mark the value obtained by adding up all the maintenance times as the total maintenance value, and calculate the scrap number using the formula. The specific calculation formula is:

[0035] Scrap number = 0.59 * Number of objects + 0.41 * Total repair value;

[0036] Then perform the same processing on all the remaining scrapped target objects to obtain the scrap numbers of all the scrapped target objects, and mark them as Fi. ;

[0037] Automatically calculate the mean value P of Fi, and use the formula to calculate the aggregation value W of Fi. The specific calculation formula is:

[0038] ;

[0039] When W does not exceed X2, at this time, automatically mark the mean value of Fi as the scrap standard value; otherwise, sort Fi in descending order according to |Fi - P|, and then select Fi in sequence. When each Fi is selected, delete it, and then recalculate the W value of the remaining Fi. If it still exceeds X2, then select the next Fi in sequence, delete it and recalculate the W value of the remaining Fi until it does not exceed X2;

[0040] Obtain the mean value of the remaining Fi and mark it as the scrap standard value.

[0041] Furthermore, the number of repairs also needs to be updated according to the weight of the corresponding repair object. The update method is:

[0042] Automatically obtain the weights of each repair object. The weights of each repair object are set by the administrator, and then multiply the number of repairs of different repair objects by the corresponding weights to update the number of repairs.

[0043] Compared with the prior art, the beneficial effects of the present invention are:

[0044] The present invention obtains a number of evaluation points of the target object, and at the same time obtains the last damage information of a number of scrapped target objects before scrapping, and determines the damaged target according to the damage information; then sequentially combines the damaged targets one by one to form a number of damage groups, and determines the inspection group according to the number of damage groups; then performs real-time monitoring on any target object to obtain abnormal evaluation points. When the abnormal evaluation points include all the damaged targets, it indicates that the corresponding target object should analyze whether it needs to be scrapped;

[0045] Then determine whether the target object needs to be scrapped according to the repair record of the target object; the present invention is simple and effective and easy to use. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a flowchart of the method for the present invention to determine whether to perform scrap analysis for evaluation;

[0047] Figure 2 Flowchart of the method for determining whether an induction motor should be scrapped in the present invention. Detailed implementation manners

[0048] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0049] Please refer to Figure 1 , this application provides a method for evaluating the health status and full life of an induction motor;

[0050] As the first embodiment of this application, the evaluation method of this embodiment specifically includes the following steps:

[0051] Step 1: For the convenience of full-text description, the induction motor is marked as the target object here, and it will be unified throughout the following text. First, set up a monitoring environment for the motor and obtain the relevant parameters of the induction motor. The relevant parameters are the parameters that can reflect the state of the induction motor, generally the following parameters:

[0052] The temperature of each part of the motor monitored in real time by means of a temperature sensor, especially the temperature of the winding and the bearing; the insulation resistance of the motor winding is used to evaluate the insulation performance of the insulation material; the key operating parameters of the motor such as the vibration condition, current, voltage, power and temperature, and the vibration condition is generally evaluated by the amplitude and vibration frequency;

[0053] Step 2: Mark each parameter as an evaluation point to obtain several evaluation points. Here, the evaluation points are pointed out by the administrator from the above conditions;

[0054] Step 3: Obtain several target objects to be scrapped and the damage information at the last time before being processed. The damage information includes the damage evaluation point, and the damage evaluation point refers to the evaluation point where an abnormality occurred when the last abnormality occurred;

[0055] Step 4: According to the damage evaluation points in the damage information of all scrapped induction motors, obtain the occurrence times of each damage evaluation point, and divide the number of times by the number of scrapped induction motors to obtain a value marked as the occurrence ratio;

[0056] Step 5: Mark all the damage evaluation points whose occurrence ratios exceed the set value X1 as damage targets, obtain all the damage targets, and perform data combination on all the damage targets. The data combination method is as follows:

[0057] First, obtain all damaged targets as a damaged group, and obtain the homogeneous prime number of this damaged group. The homogeneous prime number is determined as follows: when all damage assessment points in the damage information of any target object include all damaged targets, the homogeneous prime number is automatically incremented by one. Obtain the homogeneous prime number of the damaged group in this way;

[0058] When the homogeneous prime number is lower than the set index number, the damaged group will be removed at this time. Otherwise, the damaged group will be marked as an inspection group and the data combination will stop;

[0059] After that, subtract one from the number of damaged targets in the damaged group, and mark the obtained value as the number of damaged targets in the new damaged group. According to the number of damaged targets, randomly combine all damaged targets into damaged groups with corresponding quantities to obtain several damaged groups;

[0060] Obtain the homogeneous prime number of each damaged group. When there is no damaged group among all damaged groups whose homogeneous prime number exceeds the set index number, all damaged groups will be deleted. If there is any damaged group whose homogeneous prime number exceeds the set index number, the corresponding damaged group will be marked as an inspection group;

[0061] When no inspection group is obtained, the number of damaged targets in a single damaged group will be automatically subtracted by one, and then recombined into several damaged groups, and the inspection group will be determined according to the homogeneous prime number. If not found, the number of damaged targets in the damaged group will be subtracted by one until an inspection group is found;

[0062] Obtain several inspection groups, keep the one with the largest number of damaged targets in the inspection group, and remove the rest to obtain at least one inspection group. Of course, there may be several, and all will be retained at this time;

[0063] Step Six: Monitor each assessment point of any target object in real time, obtain the values of each assessment point, and when the value is abnormal, mark the assessment point as an abnormal assessment point. At this time, compare the abnormal assessment point with all inspection groups. The specific comparison method is as follows:

[0064] Select an inspection group at random, obtain all damaged targets within the inspection group, and when all abnormal assessment points include all damaged targets, a warning signal is generated at this time;

[0065] Step Seven: When a warning signal is generated, a warning analysis will be carried out on the target object. The specific warning analysis method is as follows:

[0066] First, obtain the maintenance record of the target object. The maintenance record includes the maintenance object and its corresponding maintenance times. The maintenance object is the part corresponding to the target object, and the maintenance times refer to the number of times any corresponding maintenance object is repaired. Here, repair refers to mending or replacement. When mending, the maintenance times are recorded as one, and when replacing, the maintenance times are recorded as five;

[0067] The number of maintenance objects is obtained, marked as the number of objects, and then the value obtained by adding up all the maintenance times is marked as the total maintenance value. The discard number is calculated based on the number of objects and the total maintenance value. The calculation formula is as follows:

[0068] Discard number = 0.59 * number of objects + 0.41 * total maintenance value;

[0069] When the discard number exceeds the discard standard value, a scrapping signal is generated, and the target object at this time is marked as a discarded object, indicating that the current induction motor needs to be scrapped;

[0070] The discard standard value is confirmed by past analysis. The specific method of past analysis is as follows:

[0071] The maintenance records of several scrapped target objects are obtained;

[0072] Select the maintenance record of any scrapped target object, and obtain the maintenance object and maintenance times in the maintenance record;

[0073] First, obtain the number of maintenance objects, mark it as the number of objects, and at the same time obtain the maintenance times. The value obtained by adding up all the maintenance times is marked as the total maintenance value. The discard number is calculated using the formula. The specific calculation formula is as follows:

[0074] Discard number = 0.59 * number of objects + 0.41 * total maintenance value;

[0075] Then, the same processing is performed on all the remaining scrapped target objects to obtain the discard numbers of all the scrapped target objects, marked as Fi, ;

[0076] Automatically calculate the mean value P of Fi, and calculate the aggregation value W of Fi using the formula. The specific calculation formula is as follows:

[0077] ;

[0078] When W does not exceed X2, at this time, the mean value of Fi is automatically marked as the discard standard value; otherwise, Fi is sorted in descending order according to |Fi - P|, and then Fi is selected in sequence. Each time an Fi is selected, it is deleted, and then the W value of the remaining Fi is recalculated. If it still exceeds X2, the next Fi is selected in sequence, deleted, and the W value of the remaining Fi is recalculated until it does not exceed X2;

[0079] Obtain the mean value of the remaining Fi, and mark it as the discard standard value.

[0080] As the second embodiment of the present application, this embodiment is implemented on the basis of the first embodiment. The difference from the first embodiment is that the warning analysis method in this embodiment is different. The specific method of this embodiment is as follows:

[0081] First, obtain the maintenance records of the target object. The maintenance records include the maintenance objects and their corresponding maintenance times. The maintenance objects are the parts corresponding to the target object, and the maintenance times refer to the number of times any corresponding maintenance object is repaired. Here, repair refers to patching or replacement. When patching, the maintenance time is recorded as one, and when replacing, the maintenance time is recorded as five. At the same time, the weights of each maintenance object will be automatically obtained. The weights of each maintenance object are set by the administrator. Then, multiply the maintenance times of different maintenance objects by the corresponding weights to update the maintenance times, and automatically calculate the sum of all maintenance times, and mark it as the total maintenance value;

[0082] Obtain the number of maintenance objects, and mark it as the number of objects. Then, multiply the maintenance times by the corresponding weights of the maintenance objects, and calculate the scrap number according to the number of objects and the maintenance times. The calculation formula is:

[0083] Scrap number = 0.59 * number of objects + 0.41 * total maintenance value;

[0084] When the scrap number exceeds the scrap standard value, a scrap signal is generated, and the target object at this time is marked as a discarded object;

[0085] The scrap standard value is confirmed by past analysis. The specific method of past analysis is:

[0086] Obtain the maintenance records of several discarded target objects;

[0087] Select the maintenance record of any discarded target object, and obtain the maintenance object and maintenance times in the maintenance record;

[0088] First, obtain the number of maintenance objects, and mark it as the number of objects. At the same time, obtain the maintenance times. Multiply the maintenance times of different maintenance objects by the corresponding weights to update the maintenance times, add up all the maintenance times to get the total maintenance value, and calculate the scrap number using the formula. The specific calculation formula is:

[0089] Scrap number = 0.59 * number of objects + 0.41 * total maintenance value;

[0090] Then, perform the same processing on all the remaining discarded target objects to obtain the scrap numbers of all discarded target objects, and mark them as Fi, ;

[0091] Automatically calculate the mean P of Fi, and calculate the aggregation value W of Fi using the formula. The specific calculation formula is:

[0092] ;

[0093] When W does not exceed X2, the average value of Fi is automatically marked as the discard standard value; otherwise, Fi is sorted in descending order of |Fi - P|, and then Fi is selected in sequence. Each time an Fi is selected, it is deleted, and then the W value of the remaining Fi is recalculated. If it still exceeds X2, the next Fi is selected in sequence, deleted, and the W value of the remaining Fi is recalculated until it does not exceed X2.

[0094] Obtain the average value of the remaining Fi and mark it as the discard standard value.

[0095] Some of the data in the above formula are calculated by removing the dimension and taking their numerical values. The formula is obtained by software simulation of a large amount of collected data to get a formula closest to the actual situation; the preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0096] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for evaluating the health status and life of an induction motor, characterized in that: include: A plurality of evaluation points of a target object are obtained, where the target object is an induction motor, and the evaluation points are selected monitoring parameters of the corresponding induction motor; The last damage information of several scrapped target objects before scrapping is obtained, the damage information includes damage assessment points, the occurrence ratio is determined according to the number of occurrences of the damage assessment points, and the damage assessment points exceeding the set value X1 are marked as damaged targets; In the order of decreasing the number of damaged items, the damaged items are combined once to form several damaged groups; The homogeneity number of the damage group is determined based on the simultaneous appearance of the damage targets in any damage group in the damage information of the same target object; the damage group with a homogeneity number exceeding the set index number and containing the largest number of damage targets is marked as the inspection group; the homogeneity number is determined in the following way: when all the damage assessment points in the damage information of any target object contain all the damage targets, the homogeneity number is automatically increased by one, and the homogeneity number of the damage group is obtained in this way; Then, any target object is monitored in real time to obtain abnormal assessment points. When the abnormal assessment points include all damaged targets, a warning signal is generated.

2. The method for evaluating the health status and life of an induction motor according to claim 1, characterized in that: Evaluation points include the internal temperature of the motor monitored in real time with the help of temperature sensors, the vibration of the motor, current, voltage, power and temperature; The vibration of the motor includes two parameters: amplitude and frequency; The internal temperature includes the temperature of the windings and bearings.

3. The method for evaluating the health status and life of an induction motor according to claim 1, characterized in that: The specific methods for determining the subject matter of damage are: Obtain the last damage information of several scrapped target objects before they are processed, the damage information includes a damage assessment point, and the damage assessment point refers to the assessment point where the last abnormality occurred; According to the damage assessment points in the damage information of all scrapped induction motors, the number of occurrences of each damage assessment point is obtained, and the number is divided by the number of scrapped induction motors to obtain a numerical value marked as an occurrence ratio; All damage assessment points whose appearance ratio exceeds the set value X1 are marked as damage targets, and all damage targets are obtained.

4. The method for evaluating the health status and life of an induction motor according to claim 1, characterized in that: The inspection group is obtained by data combination, and the specific method of data combination is: First, all damaged targets are obtained as a damaged group, and the homogeneous number of the damaged group is obtained; When the homogeneity number is lower than the set index number, the damaged group will be removed, otherwise the damaged group will be marked as the test group and the data combination will stop; Then, the number of damaged items in the damaged group is subtracted by one, and the obtained value is marked as the number of damaged items in the new damaged group. According to the number of damaged items, all damaged items are randomly combined into the corresponding number of damaged groups to obtain a number of damaged groups; Obtain the homogeneity number of each damage group. If there is no damage group whose homogeneity number exceeds the set index number among all damage groups, all damage groups will be deleted. If there is any damage group whose homogeneity number exceeds the set index number, the corresponding damage group will be marked as a test group. When the inspection group is not obtained, the number of damaged targets in a single damaged group will be automatically reduced by one, and then they will be regrouped into several damaged groups, and the inspection group will be determined based on homogeneous numbers. If it is not found, the number of damaged targets in the damaged group will be reduced by one until the inspection group is found; Several inspection groups are obtained, and the inspection group with the largest number of damaged items is retained, and the rest are removed to obtain at least one inspection group.

5. The method for evaluating the health status and life of an induction motor according to claim 1, characterized in that: When a warning signal is generated, a warning analysis will be performed on the target object. The specific methods of warning analysis are as follows: First, obtain the maintenance record of the target object, the maintenance record includes the maintenance object and its corresponding maintenance times, and the maintenance object is the part corresponding to the target object; Get the number of maintenance objects, mark it as the number of objects, then add up all the maintenance times and mark the value obtained as the total maintenance value. Calculate the number of discards based on the number of objects and the total maintenance value. The calculation formula is: Abandoned number = 0.59*number of objects + 0.41*total repair value; When the number of discards exceeds the discard standard value, a discard signal is generated, and the target object at this time is marked as a discarded object; The discarded standard value is confirmed with the help of past analysis.

6. The method for evaluating the health status and life of an induction motor according to claim 5, characterized in that: The number of maintenance times refers to the number of times a corresponding maintenance object has been repaired. Repair refers to mending or replacing. When mending, the number of maintenance times is recorded as one, and when replacing, the number of maintenance times is recorded as five.

7. The method for evaluating the health status and life of an induction motor according to claim 5, characterized in that: The specific methods of past analysis are as follows: Obtain maintenance records of several scrapped target objects; Select any maintenance record of a scrapped target object, and obtain the maintenance object and maintenance times in the maintenance record; First, the number of maintenance objects is obtained and marked as the number of objects. At the same time, the number of maintenance times is obtained, and the value obtained by adding up all the maintenance times is marked as the total maintenance value. The formula is used to calculate the number of discards. The specific calculation formula is: Abandoned number = 0.59*number of objects + 0.41*total repair value; Then, the same process is performed on all other scrapped target objects to obtain the discarded number of all scrapped target objects, which is marked as Fi. ; Automatically calculate the mean value P of Fi, and use the formula to calculate the aggregate value W of Fi. The specific calculation formula is: ； When W does not exceed X2, the mean of Fi is automatically marked as a discarded standard value; otherwise, Fi is sorted in descending order according to |Fi-P|, and then Fi is selected in sequence. Each time a Fi is selected, it is deleted, and then the W value of the remaining Fi is recalculated. If it still exceeds X2, the next Fi is selected in sequence, deleted, and the W value of the remaining Fi is recalculated until it does not exceed X2; Get the mean of the remaining Fi and mark it as a discarded standard value.

8. The method for evaluating the health status and life of an induction motor according to claim 7, characterized in that: The number of maintenance times also needs to be updated according to the weight of the corresponding maintenance object. The update method is: The weight of each maintenance object is automatically obtained. The weight of each maintenance object is set by the administrator, and then the maintenance times of different maintenance objects are multiplied by the corresponding weights to update the maintenance times.

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