A system and method for processing a vibration alert

Abstract

The application discloses a vibration alarm processing system and method, and the processing system comprises a wireless vibration sensor, an industrial internet gateway and a device state monitoring system; the wireless vibration sensor collects vibration acceleration data of the device, calculates vibration characteristic values, and uploads the vibration characteristic values to the industrial internet gateway; the industrial internet gateway receives the vibration characteristic values, and forwards the vibration characteristic values to the device state monitoring system; the device state monitoring system receives the vibration characteristic values of the device, analyzes the vibration characteristic values, judges whether the device has a fault, generates an alarm information if the device has a fault, and pushes the alarm information to a device manager client end; and the application has the beneficial effect that the vibration characteristic values do not need to be set with an alarm threshold value, the device can be more accurately and automatically judged whether the device has a fault, false positives and false negatives are less than those of a threshold alarm judgment method, and the part and the cause of the fault can be judged.

Description

Technical Field

[0001] This invention relates to a method for handling equipment fault alarms, and more particularly to a vibration alarm handling system and method, belonging to the field of mechanical equipment fault diagnosis technology. Background Technology

[0002] With the miniaturization and significant reduction in cost of vibration sensors, vibration monitoring and analysis have been widely applied to large or critical mechanical equipment in various industrial sectors, especially rotating machinery. Vibration analysis algorithms based on various mechanistic models are becoming increasingly mature. In particular, with the development of the Industrial Internet in recent years, predictive maintenance technology based on vibration data has been widely used in industries such as coal mining, steel, petroleum, and chemicals.

[0003] Predictive maintenance technology for equipment based on vibration data often employs accelerometers. Compared to vibration velocity or displacement sensors, accelerometers offer advantages such as smaller size, easier installation, and lower cost. Accelerometers can be categorized into alarm-type and analysis-type sensors based on the type of data uploaded and their application. Alarm-type sensors convert vibration acceleration data into velocity via hardware or software integration and calculate the root mean square (RMS) value, which is then displayed locally or uploaded to an online monitoring system for graphical representation. Analysis-type sensors typically upload raw vibration acceleration data directly to a vibration analysis system, utilizing signal processing techniques to transform and calculate the data. The calculated and transformed data is then graphically displayed, allowing for better analysis of equipment malfunctions and their potential causes. Regardless of whether an accelerometer is alarm-type or analysis-type, a threshold is typically set to determine if the equipment's vibration is within the normal range. If the threshold is exceeded, an alarm is triggered. The alarm threshold for vibration amplitude is often set based on standards ISO 7919 and ISO 10816, combined with the experience of vibration analysts.

[0004] However, the shortcomings of existing technologies lie in the fact that in actual production environments, the working environment of each piece of machinery is different. The intensity of vibration of the same model of equipment often varies greatly under different loads, foundation hardness, and surrounding vibration environments. For example, the vibration amplitude of the same model of centrifugal pump may differ by several times or even more when it operates alone on a soft foundation and when it operates in a pump group on a very hard foundation. In such cases, it is difficult to accurately set the threshold using the commonly used threshold alarm method in the industry. Incorrect threshold settings will cause a large number of false alarms or missed alarms. When there are many connected devices, vibration analysts need to observe each device for a certain period of time before setting the threshold based on the actual situation and experience. This is inefficient and highly dependent on the experience of equipment managers and vibration analysts. Without a unified standard, accuracy is difficult to guarantee. Secondly, simple threshold alarms cannot determine the cause and location of equipment failure. Summary of the Invention

[0005] The purpose of this invention is to provide a vibration alarm processing system and method.

[0006] The technical solution of the present invention to achieve the above objectives is as follows:

[0007] A vibration alarm processing system includes:

[0008] A wireless vibration sensor is used to collect vibration acceleration data from mechanical equipment, and after calculating the vibration characteristic value of the vibration acceleration data, it is uploaded to the industrial internet gateway through the first interface.

[0009] The industrial internet gateway is used to receive vibration characteristic value data from the wireless vibration sensor through the first interface and upload it to the equipment status monitoring system through the second interface.

[0010] The equipment status monitoring system is used to receive the vibration characteristic value data uploaded by the industrial internet gateway through the second interface, store and analyze it, and determine whether the mechanical equipment has a fault by analyzing the development trend of the vibration characteristic value data in a recent period. If a fault is found, an alarm message is generated and pushed to the client of the customer management personnel.

[0011] Preferably, the wireless vibration sensor includes:

[0012] The acquisition module is used to acquire the vibration acceleration data of the mechanical equipment;

[0013] The data calculation module is used to calculate the vibration characteristic values ​​of the vibration acceleration data. The vibration characteristic values ​​include the peak value of vibration acceleration, the effective value of vibration velocity, the vibration velocity amplitude at frequencies of 0.5X, 1X, 2X, and 3X, and the total vibration energy values ​​at frequencies of 2Hz to 100Hz, 100Hz to 1000Hz, 1000Hz to 2000Hz, and above 2000Hz.

[0014] The first data upload module is used to upload the vibration characteristic value to the industrial internet gateway through the first interface.

[0015] Preferably, the industrial internet gateway includes:

[0016] The first data receiving module is configured to receive vibration characteristic value data from the wireless vibration sensor through the first interface;

[0017] The second data upload module is used to upload the received vibration characteristic value data to the equipment status monitoring system through the second interface.

[0018] Preferably, the equipment status monitoring system includes:

[0019] The second data receiving module is used to receive the vibration characteristic value data uploaded by the industrial internet gateway through the second interface;

[0020] The data storage module is used to store the received vibration characteristic value data into a time-series database according to the device and measuring point for fault analysis.

[0021] The data analysis module is used to perform trend analysis on the received vibration characteristic value data and the stored historical data to determine whether there is a fault in the equipment. If there is a fault, an alarm message is generated.

[0022] The data display module is used to display the alarm messages generated by the trend analysis of the vibration characteristic value data and the historical data through the client, generate new alarm messages, and push the new alarm messages to the client of Shibuya management personnel.

[0023] Preferably, the wireless vibration sensor and the industrial internet gateway are connected through the first interface, and the industrial internet gateway and the equipment status monitoring system are connected through the second interface;

[0024] The first interface includes Zigbee or BLE Bluetooth;

[0025] The second interface includes Ethernet, WiFi, or 3G / 4G / 5G.

[0026] On the other hand, the present invention also discloses a method for processing vibration alarms, comprising the following steps:

[0027] S1, Vibration data acquisition step, acquire vibration acceleration data of mechanical equipment;

[0028] S2, Vibration characteristic value calculation step: The wireless vibration sensor calculates the vibration acceleration data collected locally to obtain vibration characteristic value data. The vibration characteristic value data includes the peak value of vibration acceleration, the effective value of vibration velocity, the vibration velocity amplitude at rotational frequencies of 0.5X, 1X, 2X, and 3X, and the total energy value of the frequency bands above 2Hz to 100Hz, 100Hz to 1000Hz, 1000Hz to 2000Hz, and above 2000Hz.

[0029] S3, Vibration data upload step: After the wireless vibration sensor calculates the vibration characteristic value data, it uploads the vibration characteristic value data to the industrial internet gateway through the first data upload module.

[0030] After receiving the vibration characteristic value data, the first data receiving module located in the industrial internet gateway uploads the vibration characteristic value data to the equipment status monitoring system through the second data uploading module.

[0031] S4, Data storage step: The second data receiving module receives the vibration characteristic value data and stores the vibration characteristic value data into the time series database through the data storage module;

[0032] S5, Data analysis step: The data analysis module reads the vibration characteristic value data for the most recent period and performs trend analysis to determine whether the mechanical equipment has a fault. If there is a fault, an equipment alarm message is generated.

[0033] S6, Data Display Step: After the data analysis module completes the data analysis step, if an alarm message is generated, the alarm message is pushed to the equipment manager so that the equipment manager can promptly inspect and handle the mechanical equipment. The equipment manager can also log in to the system to view the real-time data, historical data and trends of the mechanical equipment through charts.

[0034] Preferably, the data analysis step includes:

[0035] S51, perform trend analysis on the acceleration peak value in the vibration characteristic value to determine whether the acceleration peak value is on an upward trend. If the acceleration peak value is on an upward trend, the mechanical equipment may be faulty. Follow the steps in S53 for analysis. If the acceleration peak value is not on an upward trend, continue with the steps in S52 for analysis.

[0036] S52, if the peak acceleration does not show an upward trend, continue to analyze whether the effective value of velocity shows an upward trend using the same trend analysis method as in S51. If there is no upward trend, the mechanical equipment is fault-free, and the data analysis step ends. If there is an upward trend, the mechanical equipment may be faulty, and the analysis continues in step S53.

[0037] S53, following the trend analysis method in S51, sequentially analyze whether the vibration velocity amplitude of the 0.5X, 1X, 2X, and 3X frequency bands and the total energy values ​​of the frequency bands above 2Hz to 100Hz, 100Hz to 1000Hz, 1000Hz to 2000Hz, and 2000Hz show an upward trend. If at least one of the frequency vibration velocity amplitude and the total energy value of the frequency band also shows an upward trend, it can be basically determined that the mechanical equipment has a fault.

[0038] S54. Based on the analysis results of steps S51 to S53, if the mechanical equipment may be faulty, an alarm message is generated and stored in the data storage module.

[0039] Preferably, the trend analysis method for the vibration characteristic value data is as follows:

[0040] S511, take one month's worth of historical data starting from the time the vibration characteristic value was received, and form a sample set, the sample set being... ,

[0041] S512, halve the sample set to form data pairs: ,in ;

[0042] in

[0043] S513, calculate the sign of the difference for each data pair, and count the number of pairs with s=1 as sp and the number of pairs with s=-1 as sn;

[0044]

[0045] S514, if sn > sp, then there is no upward trend; if sp > sn, then there may be an upward trend.

[0046] S515, at this point, calculate the cumulative distribution of sn, sa = sn + sp.

[0047] Where p=0.5

[0048] If pn < 0.05, the vibration characteristic value data shows an upward trend; otherwise, the vibration characteristic value data does not show an upward trend.

[0049] The advantages of this invention are mainly reflected in the following aspects:

[0050] 1. No vibration threshold needs to be set. The computer program analyzes multiple vibration characteristic parameters to automatically determine whether the equipment is faulty, resulting in more accurate judgment and reduced false alarms and missed alarms.

[0051] 2. By analyzing two or more characteristic parameters, the component where the fault occurred can be preliminarily identified, which makes it easier for equipment managers to conduct more targeted inspections and repairs, reducing troubleshooting time and improving work efficiency. Attached Figure Description

[0052] Figure 1 This is a system block diagram of the present invention.

[0053] Figure 2 This is a flowchart of the identification method using a wireless vibration acceleration sensor according to the present invention.

[0054] Figure 3 This represents the trend of the effective value of vibration velocity in embodiments of the present invention.

[0055] Figure 4 This is the 0.5X frequency conversion trend in the embodiments of the present invention.

[0056] Figure 5 This is the 1X frequency conversion trend of the present invention.

[0057] Figure 6 This is the 2X frequency conversion trend in the embodiments of the present invention.

[0058] Figure 7 This is the 3X frequency conversion trend in the embodiments of the present invention.

[0059] Figure 8 This is the energy trend of the 2Hz to 100Hz frequency band in an embodiment of the present invention.

[0060] Figure 9 This is the energy trend of the 100Hz to 1000Hz frequency band in this embodiment of the invention.

[0061] Figure 10 This is the energy trend of the 1000Hz to 2000Hz frequency band in an embodiment of the present invention.

[0062] Figure 11 This is the energy trend of the frequency band above 2000Hz in the embodiments of the present invention.

[0063] Figure 12 This is a reference diagram showing the criteria for judging faults and faulty components in this invention. Detailed Implementation

[0064] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings, so as to make the technical solution of the present invention easier to understand and master, and thus to make a clearer definition of the scope of protection of the present invention.

[0065] A vibration alarm processing system, combined with Figure 1 As shown, it includes a wireless vibration sensor, an industrial internet gateway, and an equipment condition monitoring system, wherein:

[0066] The wireless vibration sensor specifically includes the following modules:

[0067] The data acquisition module is used to collect vibration acceleration data from mechanical equipment;

[0068] The data calculation module is used to calculate the vibration characteristic values ​​of the vibration acceleration data. The vibration characteristic values ​​include the peak value of vibration acceleration, the effective value of vibration velocity, the vibration velocity amplitude at frequencies of 0.5X, 1X, 2X, and 3X, and the total vibration energy values ​​at frequencies of 2Hz to 100Hz, 100Hz to 1000Hz, 1000Hz to 2000Hz, and above 2000Hz.

[0069] The first data upload module is used to upload the vibration characteristic value to the industrial internet gateway through the first interface.

[0070] The industrial internet gateway specifically includes the following modules:

[0071] The first data receiving module is configured to receive vibration characteristic value data from the wireless vibration sensor through the first interface;

[0072] The second data upload module is used to upload the received vibration characteristic value data to the equipment status monitoring system through the second interface.

[0073] The equipment status monitoring system specifically includes the following modules:

[0074] The second data receiving module is used to receive the vibration characteristic value data uploaded by the industrial internet gateway through the second interface;

[0075] The data storage module is used to store the received vibration characteristic value data into a time-series database according to the device and measuring point for fault analysis;

[0076] The data analysis module is used to perform trend analysis on the received vibration characteristic value data and the stored historical data to determine whether there is a fault in the equipment. If there is a fault, an alarm message is generated.

[0077] The data display module is used to display the alarm messages generated by the trend analysis of the vibration characteristic value data and the historical data through the client, generate new alarm messages, and push the new alarm messages to the client of Shibuya management personnel.

[0078] The wireless vibration sensor and the industrial internet gateway are connected through the first interface, and the industrial internet gateway and the equipment status monitoring system are connected through the second interface. The first interface includes Zigbee or BLE Bluetooth, and the second interface includes Ethernet, WiFi, or 3G / 4G / 5G.

[0079] On the other hand, this invention also discloses a method for processing vibration alarms, combined with Figure 2 As shown, the specific steps are as follows:

[0080] S1, Vibration data acquisition step, acquire vibration acceleration data of mechanical equipment;

[0081] S2, Vibration characteristic value calculation step: The wireless vibration sensor calculates the vibration acceleration data collected locally to obtain vibration characteristic value data. The vibration characteristic value data includes the peak value of vibration acceleration, the effective value of vibration velocity, the vibration velocity amplitude at rotational frequencies of 0.5X, 1X, 2X, and 3X, and the total energy value of the frequency bands above 2Hz to 100Hz, 100Hz to 1000Hz, 1000Hz to 2000Hz, and above 2000Hz.

[0082] S3, Vibration data upload step: After the wireless vibration sensor calculates the vibration characteristic value data, it uploads the vibration characteristic value data to the industrial internet gateway through the first data upload module.

[0083] After receiving the vibration characteristic value data, the first data receiving module located in the industrial internet gateway uploads the vibration characteristic value data to the equipment status monitoring system through the second data uploading module.

[0084] S4, Data storage step: The second data receiving module in the equipment monitoring system receives the vibration characteristic value data and stores the vibration characteristic value data into the time series database through the data storage module;

[0085] S5, Data Analysis Step: The data analysis module reads the vibration characteristic value data for the most recent period and performs trend analysis to determine whether the mechanical equipment has a fault. If a fault is found, an equipment alarm message is generated. The specific determination method is as follows:

[0086] S51, perform trend analysis on the acceleration peak value in the vibration characteristic value to determine whether the acceleration peak value is on an upward trend. If the acceleration peak value is on an upward trend, the mechanical equipment may be faulty. In this case, perform the analysis according to step S53. If the acceleration peak value is not on an upward trend, continue the analysis according to step S52.

[0087] S52, if the peak acceleration does not show an upward trend, continue to analyze whether the effective value of vibration velocity shows an upward trend using the same trend analysis method as in S51. If there is no upward trend, the mechanical equipment is fault-free, and the data analysis step ends. If there is an upward trend, the mechanical equipment may be faulty, and the analysis continues in step S53.

[0088] S53, following the trend analysis method in S51, analyze in sequence whether the amplitude of the 0.5X, 1X, 2X, and 3X frequency vibration velocity and the total energy value of the frequency bands above 2Hz to 100Hz, 100Hz to 1000Hz, 1000Hz to 2000Hz, and 2000Hz show an upward trend. If at least one of the frequency vibration velocity amplitude and the total energy value of the frequency band also shows an upward trend, it can be basically determined that the mechanical equipment has a fault.

[0089] S54. Based on the analysis results of steps S51 to S53, if the mechanical equipment may be faulty, an alarm message is generated and stored in the data storage module.

[0090] Next, proceed to step S6, data display. After the data analysis module completes the data analysis step, if an alarm message is generated, the alarm message will be pushed to the equipment management personnel, so that the equipment management personnel can promptly inspect and handle the mechanical equipment. The equipment management personnel can also log in to the system to view the real-time data, historical data and trends of the mechanical equipment through charts.

[0091] In the data analysis step of S5, the specific steps of the trend analysis method for the vibration characteristic value data are as follows:

[0092] S511, take historical data for one month prior to the time the vibration characteristic value data is received to form a sample set, the sample set being... ,

[0093] S512, halve the sample set to form data pairs: ,in ;

[0094] in

[0095] S513, calculate the sign of the difference for each data pair, and count the number of pairs with s=1 as sp and the number of pairs with s=-1 as sn;

[0096]

[0097] S514, if sn > sp, then there is no upward trend; if sp > sn, then there may be an upward trend.

[0098] S515, at this point, calculate the cumulative distribution of sn, sa = sn + sp.

[0099] Where p=0.5

[0100] If pn < 0.05, the vibration characteristic value data shows an upward trend; otherwise, the vibration characteristic value data does not show an upward trend.

[0101] To improve the accuracy of alarm messages, after a fault is identified in the equipment, vibration analysts can log into the system and use vibration spectrum analysis to further analyze and diagnose the problem, determine whether a fault has occurred, and identify the possible components and causes of the fault.

[0102] The method and standard for determining whether the equipment is faulty based on the trend of the vibration characteristic value data, and the possible components at fault, are as follows: Figure 12 The table shown.

[0103] The following provides a specific embodiment of a centrifugal pump to enhance understanding of the invention. Figures 3 to 11 The graph shows the vibration characteristic parameters of the centrifugal pump over two months. It can be seen from the graph that about a month before the monitoring time, the effective value of the vibration velocity increased significantly and showed a slow upward trend. Therefore, it can be preliminarily judged that the equipment may be faulty. Further trend analysis of the four rotational frequency amplitudes and four frequency band energy shows that the 1X rotational frequency amplitude and the 2Hz~100Hz frequency band energy also began to show a slow upward trend at the same time. Therefore, it can be determined that the centrifugal pump has a shaft imbalance fault.

[0104] In summary, this invention calculates multiple vibration characteristic values ​​on wireless vibration sensors and uploads them to an equipment status monitoring system. By performing trend analysis on the recent data of these characteristic values, it can more accurately and automatically determine whether the equipment is faulty without setting alarm thresholds for the vibration characteristic values. This method results in fewer false alarms and missed alarms compared to threshold-based alarm methods, and can identify the faulty component and its cause. Simultaneously, it automatically generates alarm messages and pushes them to relevant equipment management personnel, facilitating more targeted inspections and repairs, reducing troubleshooting time, and improving work efficiency. After detecting a fault, vibration analysts can log in to the equipment for online monitoring and analyze the raw vibration data to perform fault diagnosis analysis, further analyzing whether the equipment is faulty and the component and cause of the fault.

[0105] This invention also provides a reference for other related issues in the same field, and can be used as a basis for expansion and extension, and applied to other technical solutions related to vibration alarm in the same field, with a very broad application prospect.

[0106] In addition to the above embodiments, the present invention may have other implementation methods. All technical solutions formed by equivalent substitution or equivalent transformation fall within the scope of protection claimed by the present invention.

Claims

1. A method for processing vibration alarms, characterized in that: include: S1, Vibration data acquisition, collecting vibration acceleration data of mechanical equipment; S2, Vibration characteristic value calculation: The wireless vibration sensor calculates the vibration acceleration data it has collected to obtain vibration characteristic value data. The vibration characteristic value data includes the peak value of vibration acceleration, the effective value of vibration velocity, the vibration velocity amplitude at rotational frequencies of 0.5X, 1X, 2X, and 3X, and the total energy value of the frequency bands above 2Hz to 100Hz, 100Hz to 1000Hz, 1000Hz to 2000Hz, and above 2000Hz. S3, Vibration data upload: The vibration characteristic value data is uploaded to the industrial internet gateway through the first data upload module; After receiving the vibration characteristic value data, the first data receiving module uploads the vibration characteristic value data to the equipment status monitoring system through the second data uploading module. S4, Data storage: The second data receiving module receives the vibration characteristic value data and stores the vibration characteristic value data into the time series database through the data storage module; S5, Data Analysis: The data analysis module reads the vibration characteristic value data for the most recent period and performs trend analysis on the vibration characteristic value data to determine whether the mechanical equipment is faulty. If there is a fault, an equipment alarm message is generated. S6, Data display: If the device alarm message is generated, the alarm message is pushed to the device administrator. The trend analysis method for the vibration characteristic value data is as follows: S511, take historical data for one month starting from the time the vibration characteristic value data is received, and form a sample set X = {x1, x2, x3, ..., x n }, S512, halve the sample set to form data pairs: (x i ,x i+k ), where (x i ,x i+k ∈X); in Where n is the total number of samples; S513, calculate the sign of the difference for each data pair, and count the number of s = 1 as sp and the number of s = -1 as sn; sp is the number of positive signs in the data and sn is the number of negative signs in the data; s is an array; S514, if sn>sp, then there is no upward trend; if sp>sn, then there may be an upward trend. S515, at this point, calculate the cumulative distribution pn of sn, sa = sn + sp, where sa is the total number of trials; Where p = 0.5, p is the probability of a trend change in the vibration characteristic data, and j is the number of times the trend change in the vibration characteristic data occurs; If pn < 0.05, the vibration characteristic value data shows an upward trend; otherwise, the vibration characteristic value data does not show an upward trend.

2. The vibration alarm processing method according to claim 1, characterized in that, The wireless vibration sensor includes: The acquisition module is used to acquire the vibration acceleration data of the mechanical equipment; The data calculation module is used to calculate the vibration characteristic values ​​of the vibration acceleration data. The vibration characteristic values ​​include the peak value of vibration acceleration, the effective value of vibration velocity, the vibration velocity amplitude at frequencies of 0.5X, 1X, 2X, and 3X, and the total vibration energy values ​​at frequencies of 2Hz to 100Hz, 100Hz to 1000Hz, 1000Hz to 2000Hz, and above 2000Hz. The first data upload module is used to upload the vibration characteristic value to the industrial internet gateway through the first interface.

3. The vibration alarm processing method according to claim 1, characterized in that, The industrial internet gateway includes: The first data receiving module is used to receive vibration characteristic value data from the wireless vibration sensor through a first interface; The second data upload module is used to upload the received vibration characteristic value data to the equipment status monitoring system through the second interface.

4. The vibration alarm processing method according to claim 1, characterized in that, The equipment status monitoring system includes: The second data receiving module is used to receive the vibration characteristic value data uploaded by the industrial internet gateway through the second interface; The data storage module is used to store the received vibration characteristic value data into a time-series database according to the device and measuring point for fault analysis. The data analysis module is used to perform trend analysis on the received vibration characteristic value data and the stored historical data to determine whether there is a fault in the equipment. If there is a fault, an alarm message is generated. The data display module is used to display the alarm messages generated by trend analysis of the vibration characteristic value data and the historical data through the client, generate new alarm messages, and push the new alarm messages to the client of Shibuya management personnel.

5. The vibration alarm processing method according to claim 1, characterized in that, The wireless vibration sensor and the industrial internet gateway are connected through a first interface, and the industrial internet gateway and the equipment status monitoring system are connected through a second interface. The first interface includes Zigbee or BLE Bluetooth; The second interface includes Ethernet, WiFi, or 3G / 4G / 5G.

6. The vibration alarm processing method according to claim 1, characterized in that, The data analysis includes: S51, perform trend analysis on the acceleration peak value in the vibration characteristic value to determine whether the acceleration peak value is on an upward trend. If the acceleration peak value is on an upward trend, the mechanical equipment may be faulty. Follow the steps in S53 for analysis. If the acceleration peak value is not on an upward trend, continue with the steps in S52 for analysis. S52, if the peak acceleration does not show an upward trend, continue to analyze whether the effective value of vibration velocity shows an upward trend according to the same trend analysis method as S51. If there is no upward trend, the mechanical equipment is fault-free and the data analysis step ends. If there is an upward trend, the mechanical equipment may be faulty and the analysis continues in step S53. S53, following the trend analysis method in S51, sequentially analyze whether the vibration velocity amplitude of the 0.5X, 1X, 2X, and 3X frequency bands and the total energy values ​​of the frequency bands above 2Hz to 100Hz, 100Hz to 1000Hz, 1000Hz to 2000Hz, and 2000Hz show an upward trend. If at least one of the frequency vibration velocity amplitude and the total energy value of the frequency band also shows an upward trend, it can be determined that the mechanical equipment has a fault. S54. Based on the analysis results of steps S51 to S53, if the mechanical equipment is faulty, an alarm message is generated and the alarm message is stored in the data storage module.

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