Bearing re-lubrication control method and device and computer readable storage medium

Abstract

The invention provides a bearing relubrication control method and device and a computer readable storage medium. The method comprises the steps that the pollutant content and the aging index of lubricating grease of a bearing are determined; determining the failure form and the failure degree of the bearing according to the operation condition, the pollutant content and the aging index of the bearing and a pre-established bearing failure standard; determining a re-lubrication scheme of the bearing according to the failure form and the failure degree of the bearing; wherein the bearing failure standard comprises the corresponding relation between the content and the aging index of pollutants in the lubricating grease and the failure form and the failure degree of the bearing, and the re-lubricating scheme comprises the grease injection period and the grease injection amount of the bearing. According to the method, potential problems of the bearing can be found in time, pre-planning and re-lubrication are achieved, sudden faults are avoided, and the operation stability of equipment is greatly improved.

Description

Technical Field

[0001] This application relates to the technical field of bearings, and more specifically, to a bearing re-lubrication control method and device, and a computer-readable storage medium. Background Art

[0002] The lubrication state of a bearing directly affects its service life and reliability. Currently, grease lubrication is mostly used for the traction motor bearings in the rail transit industry, and the working state of the bearings is detected during operation. According to the working state of the bearings or according to a preset re-lubrication plan, the bearings are re-lubricated to avoid problems such as spalling and pitting caused by poor lubrication, which pose a threat to the life of the bearings and the safe operation of rail transit vehicles.

[0003] In related technologies, the operating state of a bearing is monitored using vibration signals or temperature signals. For example, temperature sensors are installed at the bearing positions at both ends of the motor to monitor the temperature of the outer ring of the bearing. If the temperature of the outer ring of the bearing rises to a preset temperature threshold, it indicates that the bearing may be abnormally worn at this time. Another example is that the vibration signal of the bearing can be detected by an acceleration sensor. When the time domain or frequency domain index of the vibration acceleration reaches a preset threshold, the monitoring system gives an alarm to judge the bearing failure.

[0004] The above methods based on vibration signals or temperature signals are not applicable in some scenarios. For example, the traction motors of the vehicles developed in the early stage of the rail transit industry are not equipped with vibration and temperature sensors, resulting in the inability to achieve online monitoring. Vibration signals are more sensitive to failure forms with periodic impact signals, such as failure forms like spalling and scratches on the bearing raceway surface, but the accuracy of diagnosing failure forms such as abnormal wear and minor electrical erosion is relatively low. And the temperature signal can only give feedback when the bearing fails severely at a later stage, and its effectiveness in identifying early bearing failures is not high.

[0005] In the case where the operating state of the rail transit traction motor bearing cannot be monitored using vibration and temperature signals, and at the same time, it is required that the motor does not need to be disassembled from the vehicle and the application conditions of the bearings of the same model products are different, how to detect the operating state of the bearing and formulate a reasonable re-lubrication plan has become an urgent problem to be solved. Summary of the Invention

[0006] This application mainly provides a bearing re-lubrication control method and device, and a computer-readable storage medium. The technical solution of this application is realized as follows:

[0007] In a first aspect, a method for controlling re-lubrication of a bearing is provided. The method includes: determining the pollutant content and aging index of the grease of the bearing; determining the failure mode and failure degree of the bearing according to the operating conditions of the bearing, the pollutant content and the aging index, and a pre-established bearing failure criterion; determining the re-lubrication plan for the bearing according to the failure mode and failure degree of the bearing; wherein, the bearing failure criterion includes the corresponding relationship between the content and aging index of the pollutants in the grease and the failure mode and failure degree of the bearing, and the re-lubrication plan includes the grease injection period and grease injection amount of the bearing.

[0008] According to the above technical means, based on the operating conditions of the bearing and the pollutant content and aging index of the grease, according to the pre-established bearing failure criterion, the failure mode and failure degree of the bearing are determined, and accordingly, the re-lubrication of the bearing is accurately controlled. The re-lubrication plan determined by this method is no longer blindly lubricated according to a fixed period and grease injection amount, but the re-lubrication plan is determined according to the actual needs of the bearing. In this way, the grease can be reasonably used, avoiding the aggravation of bearing wear caused by insufficient lubrication, and also preventing waste caused by excessive lubrication and other possible problems. The lubrication management of the bearing is optimized, the service life of the bearing is extended, and the operating efficiency and economy of the equipment are improved.

[0009] In some embodiments, the pollutants are iron and / or copper, and the aging index includes the penetration, oil separation rate, and water content of the grease; determining the pollutant content and aging index of the grease of the bearing includes: collecting the grease from the waste oil chamber of the bearing; determining the content of the pollutants in the grease based on X-ray fluorescence spectrometry; detecting the penetration, oil separation rate, and water content of the grease.

[0010] In some embodiments, the method further includes: collecting a plurality of first sample bearings; extracting the grease in each of the first sample bearings; determining the failure mode and failure degree of each of the first sample bearings; determining the pollutant content and aging index of the grease in each of the first sample bearings; establishing the bearing failure criterion according to the pollutant content and aging index of each of the first sample bearings with the failure mode and failure degree; wherein, the pollutants include iron and copper, and the aging index includes the penetration, oil separation rate, and water content of the grease.

[0011] In some embodiments, before determining the failure mode and degree of each of the first sample bearings, the method further includes: when the cage of the first sample bearing is a corrugated steel cage, removing the rivets of the corrugated steel cage by drilling to separate the first sample bearing; when the cage of the first sample bearing is a housing-type cage, removing the rivets of the housing-type cage by wire electrical discharge machining or milling to separate the first sample bearing; determining the failure mode and degree of each of the first sample bearings includes: determining the failure mode and degree of each of the first sample bearings according to the damage conditions of the inner ring, outer ring, and rolling elements of each of the disassembled first sample bearings.

[0012] According to the above technical means, by using drilling, wire electrical discharge machining or milling, damage to bearing components caused by improper disassembly methods can be avoided, so that it is impossible to distinguish whether the damage occurs during operation or is caused by disassembly during subsequent inspection and evaluation.

[0013] In some embodiments, the multiple first sample bearings satisfy at least one of the following conditions: the models of the multiple first sample bearings are different; the operating environments of the rail transit vehicles applying the multiple first sample bearings are different; the driving mileages of the rail transit vehicles applying the multiple first sample bearings are different; the multiple first sample bearings are located at different axle positions of the rail transit vehicle; the multiple first sample bearings are located at different car positions of the rail transit vehicle.

[0014] According to the above technical means, the multi-sample bearings satisfy multiple conditions, greatly enriching the diversity of the samples. Samples with different models, operating environments, driving mileages, axle positions, and car positions can simulate various actual working conditions, enabling the established failure criteria to adapt to complex and changeable application scenarios and ensuring effective evaluation of bearing conditions in different situations.

[0015] In some embodiments, the failure mode includes at least one of electrical erosion, spalling, corrosion, and fracture, and the failure degree is determined according to at least one of the damage area, depth, color change, number of failed parts, and influence degree on the operating temperature of the first sample bearing.

[0016] In some embodiments, determining the relubrication plan for the bearing includes: determining the grease injection period according to the failure mode and degree; determining the grease injection amount according to the model of the bearing and the optimal grease injection plan corresponding to the model of the bearing.

[0017] According to the above technical means, determine the relubrication cycle based on the failure mode and degree, and determine the relubrication amount in combination with the bearing model, making the relubrication plan more scientific and reasonable. A reasonable relubrication cycle and relubrication amount can maintain the good lubrication state of the bearing, extend its service life, reduce failures caused by improper lubrication, and improve the operating efficiency of the equipment.

[0018] In some embodiments, before determining the relubrication plan for the bearing, the method further includes: determining the theoretical grease injection amount of the bearing according to the model of the bearing, where the theoretical grease injection amount is related to the outer diameter and width of the bearing; based on the theoretical grease injection amount, determining multiple grease injection plans according to different increments of the relubrication amount; performing multiple grease injection tests on a second sample bearing according to the multiple grease injection plans; in the multiple grease injection tests, taking the grease injection plan in which the grease does not leak from the equipment applying the second sample bearing and the proportion of the replaced contaminated grease is the largest as the optimal grease injection plan.

[0019] According to the above technical means, starting from the theoretical relubrication amount, through multi - scheme tests, determining the best plan with the criteria of no grease overflow and the largest replacement rate of contaminated grease, ensuring the best relubrication effect, while guaranteeing the lubrication effect, avoiding resource waste and environmental pollution.

[0020] In a second aspect, a bearing relubrication control device is provided. The device includes: a first determination unit for determining the pollutant content and aging index of the grease in the bearing; a second determination unit for determining the failure mode and failure degree of the bearing according to the operating conditions of the bearing, the pollutant content, the aging index, and a pre - established bearing failure standard; a third determination unit for determining the relubrication plan of the bearing according to the failure mode and failure degree of the bearing; where the bearing failure standard includes the corresponding relationship between the content of pollutants and aging index in the grease and the failure mode and failure degree of the bearing, and the relubrication plan includes the relubrication cycle and relubrication amount of the bearing.

[0021] In a third aspect, a computer - readable storage medium is provided, which is used to store a computer program, and when the computer program is executed, it implements the method as described in the first aspect. Description of the Drawings

[0022] Figure 1 It is a schematic flow chart of the bearing relubrication control method provided by the embodiment of the present application;

[0023] Figure 2 It is a schematic flow chart of the method for establishing the bearing failure standard;

[0024] Figure 3 It is an example diagram of the iron element content in the grease of the sample bearing;

[0025] Figure 4 An example diagram of the copper element content in the grease of the sample bearing;

[0026] Figure 5 A schematic flowchart of a method for determining an optimal grease injection scheme;

[0027] Figure 6 A schematic structural diagram of the bearing re-lubrication control device provided by the embodiment of the present application. Detailed implementation manners

[0028] The embodiment of the present application provides a bearing re-lubrication control method, device, and computer-readable storage medium. The technical solution of the present application will be further specifically described below through embodiments in combination with the drawings. In the specification, the same or similar reference numerals indicate the same or similar components. The description of the embodiments of the present application with reference to the drawings is intended to explain the overall concept of the present application and should not be construed as a limitation to the present application.

[0029] Before introducing the technical solution of the present application, the bearing re-lubrication method in the related art and the problems thereof will be described in detail by way of examples.

[0030] When rail transit tools such as locomotives and multiple units are working, a traction motor is usually used to provide power. The traction motor includes a rotating shaft and a bearing. The rotating shaft is fitted with the inner ring of the bearing, and the bearing plays a role in supporting the rotating shaft. Factors such as the working environment where the traction motor is located in the locomotive and multiple unit and the rotational speed of the rotating shaft of the traction motor will affect the structural stability and service life of the bearing.

[0031] The lubrication state of the bearing will directly affect its service life and reliability. At present, grease lubrication is mostly used for the bearings of traction motors in the rail transit industry. During the operation of the bearing, its working state is detected, and the bearing is re-lubricated according to the working state of the bearing or according to a preset re-lubrication scheme to avoid problems such as spalling and pitting caused by poor lubrication, which pose a threat to the life of the bearing and the safe operation of the rail transit vehicle.

[0032] At present, the bearing state is usually monitored by vibration signals or temperature signals. For example, temperature sensors are set at the bearing positions at both ends of the motor to monitor the temperature of the outer ring of the bearing. If the temperature of the outer ring of the bearing rises to a preset temperature threshold value, it indicates that the bearing may have abnormal wear at this time; for another example, the vibration signal of the bearing can be detected by an acceleration sensor. When the time domain or frequency domain index of the vibration acceleration reaches a preset threshold value, the monitoring system gives an alarm to determine the bearing failure.

[0033] The above methods based on vibration signals or temperature signals are not applicable in some scenarios. For example, in the early stage of the rail transit industry, vibration and temperature sensors were not installed on vehicle traction motors, resulting in the inability to achieve online monitoring. Vibration signals are sensitive to failure modes with periodic impact signals, such as failure modes like spalling and scratches on the bearing raceway surface, but the accuracy of diagnosing failure modes such as abnormal wear and minor electrical erosion is relatively low. Temperature signals can only provide feedback when the bearing fails severely in the later stage, and their effectiveness in identifying early bearing faults is not high.

[0034] In some related technologies, the condition of the bearing can also be detected by ferrographic analysis of the lubricating medium. For example, for bearings lubricated by a circulating oil supply method, the condition of the bearing is analyzed by the content and type of contaminants in the lubricating oil. However, this method is mostly used in scenarios where the lubricating medium is lubricating oil, or for bearings lubricated with grease, the motor must be disassembled, and the grease must be taken from inside the bearing for detection and analysis. Most traction motors in the rail transit industry use grease lubrication. If this method is used, the motor needs to be dropped and disassembled to take grease for detection, resulting in high costs and seriously affecting the operation order of the train. Therefore, this method cannot meet the application requirements of the rail transit industry.

[0035] Traction motor bearings are usually maintained by regularly replenishing grease, and the relubrication period and relubrication amount of the bearings are related to parameters such as their operating speed, temperature, load, and size. Most relubrication schemes in the industry are obtained by theoretical calculation methods, that is, the theoretical grease injection amount is determined based on the above-mentioned various parameters, and lubrication maintenance is carried out at the preset relubrication period.

[0036] For bearings of the same model, their operating conditions are not the same. For example, in an environment with strong wind and sand, the wear rate of the bearings is relatively fast; if they operate in a humid environment, the probability of rust is usually higher. Therefore, for bearings of the same model product, due to different operating conditions, if the same relubrication scheme is adopted, problems such as poor lubrication at individual shaft positions and high failure rates will occur.

[0037] In summary, in the case where the condition of the rail transit traction motor bearing cannot be monitored using vibration and temperature signals, and it is required that the motor does not need to be dropped and disassembled, and there are differences in the application conditions of bearings of the same model product, how to detect the operating condition of the bearing and formulate a reasonable relubrication scheme has become an urgent problem to be solved.

[0038] In view of the above problems, the embodiments of the present application provide a bearing relubrication control method, device, and computer-readable storage medium. The technical solutions of the present application will be described in detail below with reference to the accompanying drawings.

[0039] Figure 1 is a schematic flowchart of the bearing relubrication control method provided by the embodiments of the present application.Figure 1 The method in

[0040] In step S110, the contaminant content and aging index of the grease of the bearing are determined.

[0041] In the embodiment of the present application, the bearing can be a bearing in a rail transit vehicle, such as a bearing in a traction motor of a high-speed railway train, or the bearing can also be a bearing of a traction motor in a subway train.

[0042] It should be noted that the relubrication method provided by the embodiment of the present application is applied to bearings lubricated with grease. Such bearings are usually arranged in a bearing housing, with its inner ring connected to the motor rotating shaft and its outer ring connected to the bearing housing. An oil injection hole and an oil drain hole are arranged on the bearing housing.

[0043] An oil injection cavity and a waste oil cavity are also arranged in the bearing housing, both of which are connected to the part of the bearing. For example, when filling grease, the grease is pumped to the part of the bearing through the nozzle on the oil injection hole. While filling new grease, the waste grease in the bearing flows into the waste oil cavity from the inside of the bearing. When there is more waste grease in the waste oil cavity, it will flow out through the oil drain port.

[0044] In the solution of the embodiment of the present application, the content of the contaminant and the aging index are measured after the waste grease in the waste oil cavity or discharged through the oil drain port.

[0045] The contaminant content and aging index are important factors affecting the performance and life of the bearing. Understanding this information can provide basic data for subsequent decision-making and make the formulation of the relubrication plan more targeted.

[0046] In some embodiments of the present application, the contaminant can be one or more of iron, copper, and silicon. The determination of the contaminant content can be carried out by methods such as X-ray fluorescence spectrometry.

[0047] In some embodiments, the aging degree of the grease can be measured by one or more indicators such as the oil separation rate, dropping point, and water content. More specifically, the oil separation rate of the grease can be determined by the static steel mesh oil separation method and the dropping point of the grease can be determined by the dropping point measurement method in a wide temperature range, etc.

[0048] It can also be understood that after the motor bearing has been regreased multiple times, the aged and contaminated grease inside the bearing will flow into the waste oil chamber. Therefore, it is necessary to conduct regreasing and grease drainage tests to confirm how many times of regreasing are required before the grease flows into the waste oil chamber of the motor. Since the traction motor usually adopts fixed-mileage regreasing, after determining the number of regreasing times through tests, it is possible to determine how many miles the vehicle has run before there is waste grease in the waste oil chamber. Therefore, this mileage can be used as the mileage for the first grease sampling inspection. Subsequently, the interval sampling time can be formulated according to the development speed of bearing failures and the vehicle operation and maintenance cycle, and generally, sampling can be carried out at 1 / 10 of the bearing service life.

[0049] In step S120, according to the operating conditions, pollutant content, and aging index of the bearing, as well as the pre-established bearing failure criteria, determine the failure mode and failure degree of the bearing.

[0050] According to the previous description, there are some connections between the failure mode of the bearing and its operating conditions. For example, in an environment with drought and strong winds and sand, the main failure mode of the bearing is abnormal wear; in an environment with higher humidity, the main failure mode will be corrosion. Therefore, in the solution of the embodiment of the present application, in addition to the above pollution and aging indexes, the operating conditions of the bearing also need to be considered.

[0051] In some embodiments, the operating conditions may include actual working conditions such as the rotational speed, load size, working temperature, and operating time of the bearing.

[0052] Combine this operating condition information with the detected grease pollutant content and aging index, and compare with the pre-established bearing failure criteria to determine what failure mode (such as wear, fatigue, corrosion, etc.) the current bearing is in and the severity of the failure (mild, moderate, severe, etc.).

[0053] Among them, the bearing failure criteria are the corresponding relationships between the possible failure modes and the corresponding failure degrees of the bearing under different combinations of pollutant content, aging index, and operating conditions. Or rather, the bearing failure criteria include the corresponding relationships between the content and aging index of pollutants in the grease and the failure mode and failure degree of the bearing. The method for establishing the bearing failure criteria will be described in detail later, and will not be elaborated here for the time being.

[0054] In step S130, according to the failure mode and failure degree of the bearing, determine the relubrication plan for the bearing.

[0055] The relubrication plan includes the greasing cycle and the amount of grease injection for the bearing. For different failure modes and degrees of failure, different greasing cycles and amounts of grease injection can be selected. For example, for a bearing with a relatively large degree of wear, if the conventional relubrication plan is followed, it may lead to a relatively long cycle, causing the wear of the bearing to intensify. In this case, the greasing cycle can be adjusted to shorten the time difference between two grease injections. By injecting grease in a timely manner, the contaminated grease can be discharged more quickly. Another example is that when the pollutant content in the grease is low and the aging index is relatively good, it indicates that the bearing is operating under relatively ideal conditions. In this case, in order to reduce the maintenance cost, the greasing cycle can be appropriately extended.

[0056] The amount of grease injection for the bearing is related to the bearing model. Specifically, the wider the width and the larger the diameter of the bearing shaft, the larger the space inside the bearing that can accommodate the grease, that is, the larger the amount of grease injection required. At the same time, the amount of grease injection also needs to meet the following requirements: the proportion of replacing the original grease inside the bearing is the largest, and the grease will not overflow from the sealant structure of the bearing after grease injection.

[0057] The amount of grease injection for the bearing is usually determined through a grease injection test, and the specific method will be described in detail later.

[0058] According to the above technical means, based on the operating conditions of the bearing and the pollutant content and aging index of the grease, according to the pre-established bearing failure criteria, the failure mode and degree of failure of the bearing are determined, and based on this, the relubrication of the bearing is accurately controlled. The relubrication plan determined by this method is no longer blindly lubricated according to a fixed cycle and amount of grease injection, but the relubrication plan is determined according to the actual needs of the bearing. This can rationally use the grease, avoid the intensification of bearing wear caused by insufficient lubrication, and also prevent waste caused by over-lubrication and other possible problems. It optimizes the lubrication management of the bearing, extends the service life of the bearing, and improves the operating efficiency and economy of the equipment.

[0059] The following combines Figure 2 to describe in detail the method for establishing the bearing failure criteria, Figure 2 The method in

[0060] In step S210, a plurality of first sample bearings are collected. The plurality of first sample bearings should meet the first grease extraction mileage mentioned above; that is to say, the first sample bearings are bearings that meet a certain working mileage or working duration. For example, the working mileage of the first sample bearings is greater than 500,000 kilometers.

[0061] In some embodiments, the multiple first bearing samples satisfy at least one of the following conditions: the models of the multiple first sample bearings are different; the operating environments of the rail transit vehicles applying the multiple first sample bearings are different; the driving mileages of the rail transit vehicles applying the multiple first sample bearings are different; the multiple first sample bearings are located at different axle positions of the rail transit vehicle; the multiple first sample bearings are located at different car positions of the rail transit vehicle.

[0062] The multiple-sample bearings satisfy multiple conditions, greatly enriching the diversity of the samples. Samples with different models, operating environments, driving mileages, axle positions, and car positions can simulate various actual working conditions, enabling the established failure criteria to adapt to complex and changeable application scenarios and ensuring effective assessment of the bearing state under different circumstances.

[0063] In step S220, the grease in each first sample bearing is extracted. For the collected first sample bearings, the grease inside the bearings is separated. Here, the purpose of extracting the grease is to detect and analyze its various indicators subsequently.

[0064] In some embodiments, the mass of the grease extracted from the first sample bearing is greater than 5 grams, or the mass of the extracted grease is determined according to the selected judgment indicators.

[0065] The indicators for evaluating the bearing state can be related to the characteristics of the bearing's operating environment. For example, when operating in an environment with strong wind and sand, the bearing wears severely, and the Si element content in the grease can be selected as the judgment indicator; if operating in an environment with high humidity, the water content, acid value, etc. of the grease can be selected as the indicators. In addition, suitable judgment indicators can also be selected based on the materials of each part of the bearing, the failure forms and degrees. For example, when failure forms such as abnormal wear and spalling occur in the bearing rings and cages, the content of elements such as Fe and Cu should be selected as the judgment indicators. In addition, judgment indicators reflecting grease aging, such as penetration, bleeding rate, and dropping point, can be used based on the grease aging indicators.

[0066] In step S230, the failure form and failure degree of each first sample bearing are determined.

[0067] In some embodiments, the failure forms of the bearing include at least one of electro-erosion, spalling, corrosion, and fracture, and the failure degree is determined according to at least one of the damage area, depth, color change, number of failed parts, and the degree of influence on the operating temperature of the first sample bearing.

[0068] In some embodiments, before determining the failure form and failure degree of each sample bearing, the method further includes:

[0069] When the cage of the first sample bearing is a wavy steel cage, drill to remove the rivets of the wavy steel cage. When the cage of the first sample bearing is a housing-type cage, use electrical discharge machining or milling to remove the rivets of the housing-type cage, so as to disassemble the first sample bearing into an inner ring, an outer ring, and rolling elements.

[0070] By using the above-mentioned drilling, electrical discharge machining or milling methods, it is possible to avoid damage to the bearing components caused by improper disassembly methods, and thus it is impossible to distinguish whether the damage occurred during operation or was caused by disassembly during subsequent inspection and evaluation.

[0071] After the disassembly of the first sample bearing is completed, the failure mode and the corresponding failure degree of each first sample bearing can be determined according to the damage conditions of the various components in the bearing. More specifically, various detection methods and tools can be used to conduct a detailed inspection of each sample bearing to determine its specific failure mode (such as electrical erosion, spalling, rusting, fracture, etc.). At the same time, according to the specific conditions of the bearing damage, such as the damage area, depth, color change, number of failed parts, and the degree of influence on the operating temperature and other factors, the failure degree is quantitatively evaluated to determine whether it is a mild, moderate or severe failure.

[0072] In step S240, determine the pollutant content and aging index of the grease in each first sample bearing.

[0073] Analyze and detect the grease extracted from each first sample bearing. Among them, the pollutants mainly detect the contents of iron and copper, which can be determined by specific chemical analysis or spectral analysis methods; the aging indexes include the penetration of the grease (reflecting the consistency of the grease), the bleeding rate (reflecting the stability of the grease), and the water content (affecting the quality and performance of the grease), and the specific values of these indexes need to be obtained through corresponding detection means.

[0074] In step S250, establish the failure criteria of the bearing according to the pollutant content and aging index of the first sample bearing with each failure mode and failure degree.

[0075] Based on the bearing failure type and failure degree, classify and count the detection results of the multi-sample bearings and the detection results of the corresponding grease pollution content. Based on the distribution of the detection results of the corresponding judgment indexes for different failure types and degrees of the multi-samples, the mean value, minimum value, etc. can be selected as the threshold for failure judgment.

[0076] Table 1 below is an example of the bearing failure criteria determined according to the distribution of the above-mentioned various detection results.

[0077] Table 1

[0078]

[0079] After determining the above bearing failure criteria, the bearing grease test results can be analyzed to determine the contaminant content and the measured values of the aging index. The bearing failure form and degree can then be determined based on the limit values of the selected indicators in the table above.

[0080] The following is a more detailed explanation of the method for establishing bearing failure criteria using an example.

[0081] Taking the traction motor bearings of a certain type of EMU as an example, we collected motor bearings from this type of EMU undergoing repair and conducted online testing of the grease in the faulty bearings and their waste oil chambers. The tests revealed three primary types of bearing failure: spalling of the bearing raceway, electrocorrosion with washboard patterns, and mild electrocorrosion with darkening of the rolling elements. Spalling was classified as severe, washboard patterns as moderate, and darkening of the rolling elements as mild, based on their impact on the bearing's operating temperature. Figure 3 and Figure 4 This is an example chart of the iron and copper content of the grease in the waste oil chamber corresponding to three faults: bearing peeling, washboard texture, and dark ball bearing.

[0082] like Figure 3 and 4 As shown in the figure, through the detection and analysis of the iron and copper content in the grease, it can be seen that:

[0083] When the bearing peels off, the iron content is concentrated in the range of greater than 1000ppm and less than 2500ppm, and the copper content is concentrated in the range of greater than 250ppm and less than 450ppm.

[0084] When washboard texture appears on the bearing, the iron content is concentrated in the range of greater than 600ppm and less than 1400ppm, and the copper content is concentrated in the range of greater than 100ppm and less than 250ppm.

[0085] When the rolling elements of the bearing appear dark, the iron content is concentrated in the range of greater than 400ppm and less than 1000ppm, and the copper content is concentrated in the range of greater than 20ppm and less than 100ppm.

[0086] According to the above statistical results, the bearing failure criteria shown in Table 2 can be determined.

[0087] Table 2

[0088]

[0089] According to the above technical means, through multi-fault sample detection and failure mode classification, the corresponding relationships among the failure modes of the motor bearing, the content of dust and grease pollutants in Chengdu, and the degree of aging are established, laying a foundation for effectively identifying the early failure of the bearing.

[0090] In some embodiments, the foregoing step S130 of determining the relubrication plan for the bearing includes:

[0091] Determine the greasing cycle according to the failure mode and failure degree of the bearing; and determine the greasing amount according to the model of the bearing and the optimal greasing plan corresponding to the model of the bearing.

[0092] The greasing cycle refers to the time difference between the time of the next greasing of the bearing and the current time, and the magnitude of this time difference is related to the current failure mode and / or failure degree of the bearing.

[0093] Taking the failure mode as an example, for defects such as abnormal wear, it is necessary to shorten the greasing cycle as much as possible. For early failure characteristics such as washboard patterns and dull rolling elements, the shortening range of the greasing cycle can be set to be relatively small.

[0094] Taking the traction motor bearing of a rail transit vehicle as an example, the conventional greasing cycle is to replenish grease once every 100,000 kilometers of operation. If the current failure mode of the bearing is wear, the greasing cycle can be shortened to 50,000 kilometers. If the current failure mode is dull rolling elements, the greasing cycle can be set to 70,000 kilometers.

[0095] For the same type of failure mode, when the failure degree is different, the greasing cycle should also be set differently. Taking the current failure mode of the bearing being rust as an example, for moderate rust, after the greasing is completed, most of the grease with a high water content in the oil cavity will be replaced, and the possibility of the rust continuing to spread is relatively small. At this time, the greasing cycle can be, for example, 80,000 kilometers; for severe rust, after the current round of greasing is completed, the water content of the grease in the oil cavity may still exceed the normal value, and there is still a possibility of rust spreading at this time. In this case, the greasing cycle can be set to a smaller value, such as 50,000 kilometers, so as to detect the state of the bearing again after a relatively short period of time.

[0096] The optimal greasing plan for the bearing is related to the model of the bearing, and more specifically, related to the diameter and width of the bearing. The larger the diameter and width of the bearing, the larger the space inside it that can accommodate grease, and the corresponding greasing amount is larger. At the same time, when greasing, it is also necessary to satisfy replacing as much of the original contaminated grease as possible and ensure that the grease does not overflow from the bearing housing. According to the model of the bearing and the optimal greasing plan corresponding to this model, the greasing amount can be determined.

[0097] The following is combined with Figure 5A method for determining the optimal grease injection plan is described in detail. Figure 5 The method in

[0098] In step S510, according to the model of the bearing, the theoretical grease injection amount of the bearing is determined.

[0099] The theoretical grease injection amount is related to the outer diameter and width of the bearing. For example, the theoretical grease injection amount G = 0.05D * B, where D is the outer diameter of the bearing and B is the width of the bearing in the above formula.

[0100] In step S520, based on the theoretical grease injection amount, multiple grease injection plans are determined according to different grease replenishment amount increments.

[0101] Exemplarily, taking a certain type of traction motor bearing as an example, through theoretical calculation, the grease replenishment amount of the drive end bearing of this type of motor is Gg per X ten thousand kilometers of replenishment. However, through analysis, it is found that for individual vehicle / axle position motors, due to poor operating conditions, the bearings wear quickly and have a high failure rate. By reducing the grease injection period of the bearing, the content of grease pollutants is reduced, and the bearing wear is slowed down. The re-lubrication grease injection amount is obtained through experiments. Grease injection plan 1 is to inject G grams of grease into the bearing, grease injection plan 2 is to inject G + A grams of grease into the bearing, and grease injection plan 3 is to inject G + B grams of grease into the bearing.

[0102] In step S530, according to multiple grease injection plans, multiple grease injection tests are carried out on the second sample bearing.

[0103] Respectively carry out grease injection tests on the second bearing according to the above different grease replenishment plans. During the test, determine the amount of contaminated grease replaced inside the second bearing and observe whether the grease overflows from the sealing structure.

[0104] In step S540, in multiple grease injection tests, the grease injection plan in which the grease does not leak from the equipment applying the second sample bearing and the proportion of the replaced contaminated grease is the largest is used as the optimal grease injection plan.

[0105] For example, for a certain type of bearing, when injecting grease according to the above plan 1, the new grease enters about 50% of the inside of the bearing, and this plan can replace 50% of the contaminated grease inside the bearing; when injecting grease according to the above plan 2, the new grease can replace more than 70% of the contaminated grease inside the bearing; when injecting grease according to the above plan 3, the new grease can replace more than 90% of the contaminated grease inside the bearing.

[0106] Through experiments, it can be known that replenishing C grams of new grease can replace the largest amount of contaminated grease, but this plan has the problem that part of the grease overflows from the sealing gap of the motor bearing unit, so this plan is not selectable. Considering the replacement effect and whether grease overflows during grease replenishment, plan 2 is selected as the optimal plan.

[0107] Based on the above technical means, starting from the theoretical grease replenishment amount, through multi - scheme tests, the best scheme is determined with the criteria that the lubricating grease does not overflow and the replacement rate of contaminated grease is maximized, ensuring the best grease replenishment effect, while avoiding resource waste and environmental pollution while ensuring the lubrication effect.

[0108] As described above in combination with Figures 1 - 5 , the method embodiments of the present application have been described in detail. Next, the device embodiments of the present application will be described in detail with reference to the accompanying drawings.

[0109] Figure 6 FIG. is a schematic structural diagram of a bearing re - lubrication control device provided by an embodiment of the present application. Figure 6 The device 600 in

[0110] The first determination unit 610 is used to determine the pollutant content and aging index of the lubricating grease of the bearing.

[0111] The second determination unit 620 is used to determine the failure mode and degree of failure of the bearing according to the operating conditions of the bearing, the pollutant content and aging index, and a pre - established bearing failure standard.

[0112] The third determination unit 630 is used to determine the re - lubrication scheme of the bearing according to the failure mode and degree of failure of the bearing.

[0113] Among them, the bearing failure standard includes the corresponding relationship between the pollutant content and aging index in the lubricating grease and the failure mode and degree of failure of the bearing, and the re - lubrication scheme includes the grease injection period and injection amount of the bearing.

[0114] The embodiment of the present application also provides a computer - readable storage medium. The storage medium stores executable code, and when the executable code is executed, the method described in any of the previous embodiments is implemented.

[0115] The embodiment of the present application also provides a computer program product. The computer program product includes a program. The computer program product can be applied to the electronic device provided by the embodiment of the present application, and the program enables the computer to execute the methods in the various embodiments of the present application.

[0116] It should be understood that the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0117] In various embodiments of the present application, the sequence numbers of the above processes do not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0118] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the devices or units can be in electrical, mechanical, or other forms.

[0119] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0120] In addition, in each embodiment of the present application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0121] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from a website, computer, server, or data center to another website, computer, server, or data center by wire (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wirelessly (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be read by a computer or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a digital video disc (DVD)), or a semiconductor medium (such as a solid state disk (SSD)), etc.

[0122] As described above, the foregoing are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A bearing re-lubrication control method, characterized in that, The method includes: Determining the pollutant content and aging index of the grease of the bearing; Determining the failure mode and degree of failure of the bearing according to the operating conditions of the bearing, the pollutant content and the aging index, and a pre-established bearing failure criterion; Determining the relubrication plan for the bearing according to the failure mode and degree of failure of the bearing; Wherein, the bearing failure criterion includes the corresponding relationship between the content of pollutants in the grease and the aging index and the failure mode and degree of failure of the bearing, and the relubrication plan includes the grease injection period and the grease injection amount of the bearing.

2. The method according to claim 1, characterized in that, The pollutants are iron and / or copper, and the aging index includes the penetration, bleeding rate and water content of the grease; The determining the pollutant content and aging index of the grease of the bearing includes: Collecting grease from the waste oil chamber of the bearing; Determining the content of pollutants in the grease based on X-ray fluorescence spectrometry; Detecting the penetration, bleeding rate and water content of the grease.

3. The method according to claim 1 or 2, characterized in that, The method further includes: Collecting a plurality of first sample bearings; Extracting the grease from each of the first sample bearings; Determining the failure mode and degree of failure of each of the first sample bearings; Determining the pollutant content and aging index of the grease in each of the first sample bearings; Establishing the bearing failure criterion according to the pollutant content and aging index of each first sample bearing with the corresponding failure mode and degree of failure; Wherein, the pollutants include iron and copper, and the aging index includes the penetration, bleeding rate and water content of the grease.

4. The method according to claim 3, wherein Before determining the failure mode and degree of failure of each of the first sample bearings, the method further includes: In the case where the cage of the first sample bearing is a corrugated steel cage, removing the rivets of the corrugated steel cage by drilling to separate the first sample bearing; In the case where the cage of the first sample bearing is a box-type cage, removing the rivets of the box-type cage by electric spark cutting or milling to separate the first sample bearing; The determining the failure mode and degree of failure of each of the first sample bearings includes: Determining the failure mode and degree of failure of each of the first sample bearings according to the damage conditions of the inner ring, outer ring and rolling elements of each disassembled first sample bearing.

5. The method according to claim 3, characterized in that, The plurality of first sample bearings satisfy at least one of the following conditions: The models of the plurality of first sample bearings are different; The operating environments of the rail transit vehicles applying the plurality of first sample bearings are different; The driving mileage of the rail transit vehicles applying the plurality of first sample bearings is different; The plurality of first sample bearings are located at different axle positions of the rail transit vehicle; The plurality of first sample bearings are located at different car positions of the rail transit vehicle.

6. According to the method of claim 3, wherein The failure mode includes at least one of electro-erosion, spalling, rusting, and fracture, and the degree of failure is determined according to at least one of the damage area, depth, color change, number of failed parts, and influence degree on the operating temperature of the first sample bearing.

7. The method according to claim 1, wherein The determining the relubrication plan for the bearing includes: Determine the greasing cycle according to the failure mode and failure degree; Determine the greasing amount according to the model of the bearing and the optimal greasing scheme corresponding to the model of the bearing.

8. The method according to claim 7, wherein Before determining the relubrication scheme of the bearing, the method further includes: Determine the theoretical greasing amount of the bearing according to the model of the bearing, and the theoretical greasing amount is related to the outer diameter and the width of the bearing; Based on the theoretical greasing amount, determine multiple greasing schemes according to different increments of supplementary greasing amounts; Perform multiple greasing tests on the second sample bearing according to the multiple greasing schemes; In the multiple greasing tests, use the greasing scheme in which the grease does not leak from the equipment applying the second sample bearing and the proportion of the replaced contaminated grease is the largest as the optimal greasing scheme.

9. A bearing re-lubrication control device, characterized in that, The device includes: A first determination unit for determining the pollutant content and aging index of the grease of the bearing; A second determination unit for determining the failure mode and failure degree of the bearing according to the operating conditions of the bearing, the pollutant content, the aging index, and a pre-established bearing failure standard; A third determination unit for determining the relubrication scheme of the bearing according to the failure mode and failure degree of the bearing; Wherein, the bearing failure standard includes the corresponding relationship between the pollutant content and aging index in the grease and the failure mode and failure degree of the bearing, and the relubrication scheme includes the greasing cycle and greasing amount of the bearing.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store a computer program, and when the computer program is executed, the method described in any one of claims 1-8 is implemented.

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