A method for storing vibration acceleration data and providing early warning of vibration in motor bearings.

Abstract

This invention discloses a method for storing and providing early warning of vibration acceleration data of motor bearings. The system collects vibration acceleration signals from motor bearings using a vibration acceleration sensor, and uses this data to determine the cause of bearing failures and provide early warnings. Simultaneously, a data feedback terminal provides feedback on the actual cause of the failure to supplement and correct the vibration fault database, improving the accuracy of vibration fault diagnosis and early warning. The system is characterized by including a vibration acceleration sensor, an edge cloud, a data storage backend, and a data feedback terminal. The vibration acceleration sensor establishes signal interaction with the data storage backend, the data storage backend establishes signal interaction with the edge cloud, and the data feedback terminal establishes signal interaction with the edge cloud. The vibration acceleration sensor is positioned near the bearing on the motor for continuous data collection of vibration acceleration signals. The data storage backend includes a signal conversion module and a data processing module for data conversion and comparative analysis of the vibration acceleration signals.

Description

Technical Field

[0001] This invention relates to a method for storing and providing early warning of vibration acceleration data of motor bearings. It is a method for collecting and storing vibration acceleration data of motor bearings and providing early warning of vibration based on this data. It belongs to the field of motor fault diagnosis technology. In particular, it relates to a method that can continuously collect vibration acceleration signals for vibration fault diagnosis and provide timely early warning. At the same time, it can supplement and correct the vibration fault database by feeding back the actual fault causes to the edge cloud, thereby improving the accuracy of vibration fault diagnosis and early warning. Background Technology

[0002] Motor bearings are a crucial component of motors and also a primary source of motor failure. Therefore, obtaining characteristic signals under various bearing failure conditions, especially vibration signals, is of great significance for early warning of bearing failures and estimation of remaining life. Among these, bearing vibration acceleration is an important indicator of bearing manufacturing quality, comprehensively and directly reflecting the quality of bearing operation and the fit and alignment with the shaft. It is a more intuitive vibration measurement than amplitude and velocity. Bearing vibration acceleration is typically measured manually by using a handheld vibration meter with a vibration acceleration sensor magnetically fixed near the measuring position close to the motor bearing. However, manual periodic inspections are difficult to detect and eliminate motor bearing failures in a timely manner. Furthermore, individual differences in motor products and wiring can lead to vibration variations during the testing process, causing deviations in vibration acceleration between different motor bearings under stable operating conditions and failure conditions. Relying solely on the measured vibration acceleration data makes it difficult to accurately predict the specific cause of motor bearing failures. Summary of the Invention

[0003] To improve the above situation, the present invention provides a method for storing and warning of vibration acceleration data of motor bearings. This method collects vibration acceleration signals of motor bearings using a vibration acceleration sensor, and judges and warns of bearing failures based on these signals. At the same time, the method supplements and corrects the vibration failure database by feeding back the actual failure causes through a data feedback terminal, thereby improving the accuracy of vibration failure diagnosis and warning.

[0004] The present invention discloses a vibration acceleration data storage and vibration early warning system for motor bearings, which is implemented as follows: the system includes a vibration acceleration sensor, an edge cloud, a data storage backend, and a data feedback terminal.

[0005] The feature is that the vibration acceleration sensor establishes signal interaction with the data storage backend, the data storage backend establishes signal interaction with the edge cloud, and the data feedback terminal establishes signal interaction with the edge cloud.

[0006] The vibration acceleration sensor is installed near the bearing of the motor to continuously collect vibration acceleration signals from the motor bearing.

[0007] The data storage backend is equipped with a signal conversion module and a data processing module, used for data conversion and comparative analysis of vibration acceleration signals.

[0008] The edge cloud stores time-domain images of vibration acceleration when various faults occur in motor bearings. A vibration fault database is generated based on these time-domain images to compare and analyze the peak value and frequency changes of the collected vibration acceleration, thereby determining the specific cause of the motor bearing fault.

[0009] Preferably, the specific causes of failure of the motor bearing include substandard roundness, waviness, and roughness of the steel balls or raceways; poor cleanliness; inadequate lubrication; uneven or overloaded load; and frame resonance.

[0010] The data storage backend is equipped with an early warning module, which sends an early warning signal and the specific cause of the fault to the data feedback terminal when the vibration data continuously exceeds a set threshold range, reminding maintenance personnel to inspect the motor bearings.

[0011] The data feedback terminal is used by maintenance personnel to report the actual cause of the fault to the edge cloud. The edge cloud then supplements and corrects the vibration fault database based on this information, thereby improving the accuracy of vibration fault diagnosis and early warning.

[0012] This invention also relates to a method for storing and providing early warning of vibration acceleration data for motor bearings. The method is characterized by collecting vibration acceleration signals from motor bearings using a motor bearing vibration acceleration data storage and early warning system, determining and issuing early warnings based on these signals to identify bearing failure causes, and simultaneously supplementing and correcting the vibration fault database by feeding back actual fault causes. Specifically, the method includes the following steps:

[0013] 1) The vibration acceleration signal of the motor bearing is continuously collected by the vibration acceleration sensor in the motor bearing vibration acceleration data storage and vibration early warning system, and the collected vibration acceleration signal is sent to the data storage backend.

[0014] 2) After receiving the vibration acceleration signal, the data storage backend converts the vibration acceleration signal into vibration acceleration data through the signal conversion module and sends it to the data processing module. At the same time, it generates a corresponding time domain graph for data storage.

[0015] 3) After receiving the vibration acceleration data, the data processing module of the data storage backend compares and analyzes it with the set threshold range. When the vibration acceleration data continues to exceed the set threshold range, it indicates that the vibration of the motor bearing exceeds the normal vibration range, and it is preliminarily judged that the motor bearing has failed. At this time, the data storage backend sends the vibration acceleration data to the edge cloud.

[0016] 4) After receiving the vibration acceleration data, the edge cloud compares and analyzes the peak value and frequency changes of the collected vibration acceleration data with its own stored vibration fault database, and determines the specific cause of the motor bearing failure based on this, and sends the specific fault cause number back to the data storage backend.

[0017] 5) After receiving the specific fault cause number, the data storage backend sends a warning signal and the specific fault cause to the data feedback terminal, reminding maintenance personnel to inspect the motor bearings;

[0018] 6) The maintenance personnel will stop the motor for inspection, find out the actual cause of the motor bearing failure, and input the failure cause number into the data feedback terminal. The data feedback terminal will then send the failure cause number back to the edge cloud.

[0019] 7) After receiving the fault cause number, the edge cloud generates a time-domain graph of the vibration acceleration data of the corresponding section and adds it to the vibration fault database for supplementation and correction, thereby improving the accuracy of vibration fault diagnosis and early warning.

[0020] Beneficial effects.

[0021] First, it can continuously collect vibration acceleration signals for vibration fault diagnosis and provide timely early warnings to remind maintenance personnel to carry out repairs.

[0022] Second, it can provide feedback on the actual causes of faults to the edge cloud through maintenance personnel, supplementing and correcting the vibration fault database, thereby improving the accuracy of vibration fault diagnosis and early warning. Attached Figure Description

[0023] Figure 1 This is a flowchart of a method for storing vibration acceleration data and providing early warning of vibration in motor bearings according to the present invention. Detailed Implementation

[0024] The present invention discloses a vibration acceleration data storage and vibration early warning system for motor bearings, which includes a vibration acceleration sensor, an edge cloud, a data storage backend, and a data feedback terminal.

[0025] The feature is that the vibration acceleration sensor establishes signal interaction with the data storage backend, the data storage backend establishes signal interaction with the edge cloud, and the data feedback terminal establishes signal interaction with the edge cloud.

[0026] The vibration acceleration sensor is installed near the bearing of the motor to continuously collect vibration acceleration signals from the motor bearing.

[0027] Preferably, the position of the vibration acceleration sensor is adjusted according to the actual operating environment of the motor model.

[0028] The data storage backend is equipped with a signal conversion module and a data processing module, used for data conversion and comparative analysis of vibration acceleration signals.

[0029] The edge cloud stores time-domain images of vibration acceleration when various faults occur in motor bearings. A vibration fault database is generated based on these time-domain images to compare and analyze the peak value and frequency changes of the collected vibration acceleration, thereby determining the specific cause of the motor bearing fault.

[0030] Preferably, the specific causes of failure of the motor bearing include substandard roundness, waviness, and roughness of the steel balls or raceways; poor cleanliness; inadequate lubrication; uneven or overloaded load; and frame resonance.

[0031] The data storage backend is equipped with an early warning module, which sends an early warning signal and the specific cause of the fault to the data feedback terminal when the vibration data continuously exceeds a set threshold range, reminding maintenance personnel to inspect the motor bearings.

[0032] The data feedback terminal is used by maintenance personnel to report the actual cause of the fault to the edge cloud. The edge cloud then supplements and corrects the vibration fault database based on this information, thereby improving the accuracy of vibration fault diagnosis and early warning.

[0033] This invention discloses a method for storing and providing early warning of vibration acceleration data for motor bearings. The method is characterized by collecting vibration acceleration signals from motor bearings using a vibration acceleration data storage and early warning system, determining the cause of bearing failures and issuing early warnings based on these signals, and simultaneously supplementing and correcting the vibration fault database by feeding back actual fault causes. Specifically, the method includes the following steps:

[0034] 1) The vibration acceleration signal of the motor bearing is continuously collected by the vibration acceleration sensor in the motor bearing vibration acceleration data storage and vibration early warning system, and the collected vibration acceleration signal is sent to the data storage backend.

[0035] 2) After receiving the vibration acceleration signal, the data storage backend converts the vibration acceleration signal into vibration acceleration data through the signal conversion module and sends it to the data processing module. At the same time, it generates a corresponding time domain graph for data storage.

[0036] Preferably, the generated time-domain graph is automatically saved at regular intervals.

[0037] 3) After receiving the vibration acceleration data, the data processing module of the data storage backend compares and analyzes it with the set threshold range. When the vibration acceleration data continues to exceed the set threshold range, it indicates that the vibration of the motor bearing exceeds the normal vibration range, and it is preliminarily judged that the motor bearing has failed. At this time, the data storage backend sends the vibration acceleration data to the edge cloud.

[0038] Preferably, the set threshold range is determined based on the vibration acceleration data range during previous motor bearing failures.

[0039] 4) After receiving the vibration acceleration data, the edge cloud compares and analyzes the peak value and frequency changes of the collected vibration acceleration data with its own stored vibration fault database, and determines the specific cause of the motor bearing failure based on this, and sends the specific fault cause number back to the data storage backend.

[0040] 5) After receiving the specific fault cause number, the data storage backend sends a warning signal and the specific fault cause to the data feedback terminal, reminding maintenance personnel to inspect the motor bearings;

[0041] Preferably, the data storage backend pre-stores the fault causes corresponding to the fault cause numbers.

[0042] 6) The maintenance personnel will stop the motor for inspection, find out the actual cause of the motor bearing failure, and input the failure cause number into the data feedback terminal. The data feedback terminal will then send the failure cause number back to the edge cloud.

[0043] 7) After receiving the fault cause number, the edge cloud generates a time-domain graph of the vibration acceleration data of the corresponding section and adds it to the vibration fault database for supplementation and correction, thereby improving the accuracy of vibration fault diagnosis and early warning.

[0044] Preferably, the edge cloud adjusts the set vibration acceleration threshold range according to the presence or absence of actual faults and sends it to the central cloud for updating;

[0045] The goal is to collect vibration acceleration signals of motor bearings through vibration acceleration sensors, determine the cause of bearing failures and issue early warnings based on these signals, and supplement and correct the vibration fault database by feeding back the actual fault causes through a data feedback terminal, thereby improving the accuracy of vibration fault diagnosis and early warning.

[0046] The above embodiments are preferred embodiments of the present invention. To save space, the applicant has not added other embodiments, but this is not intended to limit the scope of the present invention. Any person skilled in the art can make some modifications without departing from the scope of the present invention; that is, all equivalent modifications made in accordance with the present invention should be covered by the scope of the present invention.

Claims

1. A method for storing vibration acceleration data and providing early warning of vibration in motor bearings, characterized in that: The vibration acceleration data storage and early warning system for motor bearings collects vibration acceleration signals and uses this data to determine the cause of bearing failure and issue early warnings. Simultaneously, it supplements and corrects the vibration fault database by feeding back actual fault causes. The specific steps include: 1) The vibration acceleration signal of the motor bearing is continuously collected by the vibration acceleration sensor in the motor bearing vibration acceleration data storage and vibration early warning system, and the collected vibration acceleration signal is sent to the data storage backend. 2) After receiving the vibration acceleration signal, the data storage backend converts the vibration acceleration signal into vibration acceleration data through the signal conversion module and sends it to the data processing module. At the same time, it generates a corresponding time domain graph for data storage. 3) After receiving the vibration acceleration data, the data processing module in the data storage backend compares and analyzes it with the set threshold range. When the vibration acceleration data continuously exceeds the set threshold range, it indicates that the vibration of the motor bearing is beyond the normal vibration range, and a preliminary judgment is made that the motor bearing has failed. At this time, the data storage backend sends the vibration acceleration data to the edge cloud. 4) After receiving the vibration acceleration data, the edge cloud compares and analyzes the peak value and frequency changes of the collected vibration acceleration data with its own stored vibration fault database, and determines the specific cause of the motor bearing failure based on this, and sends the specific fault cause number back to the data storage backend. 5) After receiving the specific fault cause number, the data storage backend sends a warning signal and the specific fault cause to the data feedback terminal, reminding maintenance personnel to inspect the motor bearings; 6) The maintenance personnel will stop the motor for inspection, find out the actual cause of the motor bearing failure, and input the failure cause number into the data feedback terminal. The data feedback terminal will then send the failure cause number back to the edge cloud. 7) After receiving the fault cause number, the edge cloud generates a time-domain graph of the vibration acceleration data of the corresponding section and adds it to the vibration fault database for supplementation and correction, thereby improving the accuracy of vibration fault diagnosis and early warning.

2. The method for storing motor bearing vibration acceleration data and providing vibration early warning according to claim 1, characterized in that... The generated time-domain graph is automatically saved at regular intervals.

3. The method for storing motor bearing vibration acceleration data and providing vibration early warning according to claim 1, characterized in that... The set threshold range is determined based on the vibration acceleration data range during previous motor bearing failures.

4. The method for storing motor bearing vibration acceleration data and providing vibration early warning according to claim 1, characterized in that... The data storage backend pre-stores the fault cause corresponding to the fault cause number.

5. A method for storing motor bearing vibration acceleration data and providing vibration early warning according to claim 1, characterized in that... The edge cloud adjusts the set vibration acceleration threshold range according to the presence or absence of actual faults and sends it to the central cloud for updating.

6. The method for storing vibration acceleration data and providing early warning of vibration in motor bearings according to claim 1, characterized in that... The motor bearing vibration acceleration data storage and vibration early warning system includes a vibration acceleration sensor, an edge cloud, a data storage backend, and a data feedback terminal. The vibration acceleration sensor establishes signal interaction with the data storage backend, the data storage backend establishes signal interaction with the edge cloud, and the data feedback terminal establishes signal interaction with the edge cloud. The vibration acceleration sensor is installed near the bearing of the motor to continuously collect vibration acceleration signals from the motor bearing. The data storage backend includes a signal conversion module and a data processing module for data conversion and comparative analysis of the vibration acceleration signals. The edge cloud stores time-domain images of vibration acceleration when the motor bearing experiences various faults, and generates a vibration fault database based on these images. This database is used to compare and analyze the peak value and frequency changes of the collected vibration acceleration, and to determine the specific cause of the motor bearing fault. The data storage backend includes an early warning module that sends an early warning signal and the specific cause of the fault to the data feedback terminal when the vibration data continuously exceeds a set threshold range, reminding maintenance personnel to inspect the motor bearing. The data feedback terminal is used by maintenance personnel to report the actual cause of the fault to the edge cloud, which then supplements and corrects the vibration fault database to improve the accuracy of vibration fault diagnosis and early warning.

7. A method for storing vibration acceleration data and providing early warning of vibration in motor bearings according to claim 6, characterized in that... The location of the vibration acceleration sensor is adjusted according to the actual operating environment of the motor model.

8. A method for storing vibration acceleration data and providing early warning of vibration in motor bearings according to claim 6, characterized in that... The specific causes of failure of the motor bearings include unqualified roundness, waviness and roughness of steel balls or raceways, poor cleanliness, poor lubrication, unbalanced load or overload, and frame resonance.

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