A vibration detection and vibration analysis method and system

Abstract

The present invention discloses a vibration detection and vibration analysis method and system, which belongs to the field of vibration detection and analysis technology, and is used to solve the technical problem that the current vibration detection technology cannot accurately analyze the phase relationship of the spectrum, cannot accurately determine the real cause of the fault, and seriously affects the state recovery efficiency of the faulty equipment. The method includes: according to the detection priority, formulate the vibration detection path of each device to be detected in the factory; through the standard model structure, standardize the multi-directional measurement point position of the vibration detector on each device to be detected; according to the multi-directional measurement point position, install the vibration detector on each device to be detected to collect the multi-directional vibration spectrum data of each device to be detected according to the vibration detection path; perform time-frequency domain analysis on the vibration spectrum data to determine the vibration exceeding the standard equipment and the corresponding phase spectrum; input the phase spectrum into the spectrum recognition model to determine the corresponding fault type.

Description

Technical Field

[0001] The present invention relates to the technical field of vibration detection and analysis, and in particular to a vibration detection and vibration analysis method and system. Background Art

[0002] Vibration spectrum detection and analysis is an important means of predictive equipment management. The current vibration detection technology is mature, but due to the different devices being detected, there are also many different vibration detection methods, including detection path, detection frequency, detection location, detection monitoring equipment, detection alarm settings, setting the vibration detection priority of the equipment, fault analysis, etc. These vibration detection methods do not have a unified detection standard, and the detection process is not standardized. And how to take effective measures to restore the original state of the detected equipment, all of these aspects need to be planned, arranged and executed.

[0003] However, after collecting the vibration spectrum, the existing vibration detection technology mostly relies on experience to judge the detection results, which may cause the equipment to misjudge the fault, which in turn leads to the expansion of the fault and even catastrophic failure of the equipment. In addition, although it is easy to find the cause of the equipment failure through the vibration spectrum, it is necessary to understand the structure of the equipment to accurately point out the real fault point. Sometimes the vibration spectrum shows the same frequency multiplication, but the cause of the fault is not necessarily the same. This requires analyzing the phase relationship on the vibration spectrum to accurately find the imbalance point. However, the current vibration detection technology is usually a single-phase spectrum acquisition, which cannot accurately analyze the phase relationship of the spectrum, and cannot accurately determine the imbalance point and the real cause of the fault, which seriously affects the state recovery efficiency of the faulty equipment. Summary of the invention

[0004] The embodiment of the present invention provides a vibration detection and vibration analysis method and system for solving the following technical problems: the current vibration detection technology cannot accurately analyze the phase relationship of the spectrum, cannot accurately determine the real cause of the fault, and seriously affects the state recovery efficiency of the faulty equipment.

[0005] The embodiment of the present invention adopts the following technical solutions:

[0006] On the one hand, an embodiment of the present invention provides a vibration detection and vibration analysis method, characterized in that the method includes:

[0007] According to the inspection priority of each device to be inspected, formulate the vibration inspection path for each device to be inspected in the factory;

[0008] Through the standard model structure, the multi-directional measuring point positions of the vibration detector on each device to be tested are standardized; wherein the standard model structure includes a standard reducer, a standard bearing and a standard measuring point;

[0009] According to the multi-directional measuring point positions, a vibration detector is installed on each device to be detected, so as to collect vibration spectrum data of each device to be detected in multiple directions according to the vibration detection path;

[0010] Performing time-frequency domain analysis on the vibration spectrum data to determine the equipment with excessive vibration and the corresponding phase spectrum;

[0011] The phase spectrum is input into a spectrum recognition model to determine the fault type corresponding to the equipment with excessive vibration.

[0012] In a feasible implementation, according to the detection priority of each device to be detected, a vibration detection path for each device to be detected in the factory is formulated, specifically including:

[0013] Set the corresponding inspection priority according to the equipment type of each device to be inspected in the factory;

[0014] Arrange the devices to be detected in descending order of detection priority to obtain a detection order;

[0015] According to the detection sequence, a vibration detection path for each device to be detected is formulated.

[0016] In a feasible implementation, the multi-directional measuring point positions of the vibration detector on each device to be tested are standardized through a standard model structure, specifically including:

[0017] Integrate the standard reducer and standard bearing inside the equipment to be tested;

[0018] According to the standard measuring points, the multi-directional measuring point positions on each device to be detected are standardized; wherein the multi-directional measuring point positions include vertical measuring point positions, horizontal measuring point positions and axial measuring point positions.

[0019] In a feasible implementation manner, according to the multi-directional measuring point positions, a vibration detector is installed on each device to be detected to collect multi-directional vibration spectrum data of each device to be detected according to the vibration detection path, specifically including:

[0020] Vibration detectors are installed at the vertical measuring point, horizontal measuring point and axial measuring point on each device to be tested;

[0021] According to the detection order of each device to be detected on the vibration detection path, start the corresponding vibration detector in sequence;

[0022] The vibration detector is used to collect the vibration spectrum data of each device to be detected in the horizontal, vertical and axial directions.

[0023] In a feasible implementation manner, the vibration spectrum data is analyzed in the time-frequency domain to determine the vibration exceeding standard equipment and the corresponding phase spectrum, specifically including:

[0024] According to the collected vibration spectrum data, the vibration acceleration and vibration speed of each device to be tested are obtained;

[0025] Comparing the vibration acceleration and the vibration speed with corresponding warning thresholds respectively;

[0026] If the vibration acceleration or vibration speed is greater than the corresponding warning threshold, the device to be detected is determined to be a vibration-exceeding device;

[0027] Performing time domain analysis and frequency domain analysis on the vibration spectrum data of the equipment with excessive vibration to obtain a corresponding complex frequency domain curve;

[0028] The complex frequency domain curves corresponding to the vibration spectrum data in different directions are compared and analyzed to determine the phase spectrum corresponding to the equipment with excessive vibration.

[0029] In a feasible implementation manner, the vibration spectrum data of the vibration-exceeding equipment is subjected to time domain analysis and frequency domain analysis respectively to obtain a corresponding complex frequency domain curve, specifically including:

[0030] The vibration spectrum data is converted from the time domain to the complex frequency domain through the Fourier transform function to obtain the complex frequency domain curve.

[0031] In a feasible implementation manner, before inputting the phase spectrum into a spectrum recognition model to determine the fault type corresponding to the vibration-exceeding equipment, the method further includes:

[0032] Collect a number of different vibration spectrum experimental data, and determine the actual fault type corresponding to each vibration spectrum experimental data based on the spectrum vibration analysis experiment;

[0033] Extract the phase spectrum of each vibration spectrum experimental data;

[0034] The spectrum recognition model is trained through the phase spectrum features and the corresponding actual fault types; the spectrum recognition model is a neural network model.

[0035] In a feasible implementation manner, the phase spectrum is input into a spectrum recognition model to determine the fault type corresponding to the vibration-exceeding equipment, specifically including:

[0036] Inputting the phase spectrum into the spectrum recognition model to extract features of the phase spectrum;

[0037] According to the characteristics of the phase spectrum, the corresponding fault type is identified; wherein the fault type includes at least: unidirectional force imbalance, couple imbalance, shaft bending and 1X RPM fault.

[0038] On the other hand, an embodiment of the present invention further provides a vibration detection and vibration analysis system, the system comprising:

[0039] The vibration spectrum acquisition module is used to formulate the vibration detection path of each device to be detected in the factory according to the detection priority of each device to be detected; standardize the multi-directional measurement point position of the vibration detector on each device to be detected through the standard model structure; wherein the standard model structure includes a standard reducer, a standard bearing and a standard measurement point; according to the multi-directional measurement point position, the vibration detector is installed on each device to be detected to collect the multi-directional vibration spectrum data of each device to be detected according to the vibration detection path;

[0040] The vibration spectrum analysis module is used to perform time-frequency domain analysis on the vibration spectrum data to determine the equipment with excessive vibration and the corresponding phase spectrum; the phase spectrum is input into the spectrum recognition model to determine the fault type corresponding to the equipment with excessive vibration.

[0041] Compared with the prior art, the vibration detection and vibration analysis method and system provided by the embodiment of the present invention have the following beneficial effects:

[0042] Equipment vibration spectrum analysis cannot simply assume that each fault type only exhibits one natural frequency, and the same frequency may sometimes have multiple fault causes. From the fault spectrum analysis, it is not possible to measure only the vibration spectrum in one direction of a certain measuring point. For complex fault hazards, the present invention increases detection points and verifies the spectrum analysis with the help of mechanical measurement tools. It measures and collects spectrum curves in three directions: horizontal, axial, and vertical. It comprehensively analyzes the cause of the fault and distinguishes the phase angle relationship. The fault feature model is trained through a large number of experiments, allowing the model to learn the spectrum characteristics of each fault, and compare the peak characteristics that appear at different phase angles, so as to train a neural network model that automatically divides the fault type according to the spectrum. It can identify equipment faults and automatically generate messages, providing a simple and reliable scientific basis for equipment fault analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0044] Figure 1A flow chart of a vibration detection and vibration analysis method provided by an embodiment of the present invention;

[0045] Figure 2 A schematic diagram of a vibration detection path provided by an embodiment of the present invention;

[0046] Figure 3 A schematic diagram of the structure of a vibration detection and vibration analysis system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0048] The embodiment of the present invention provides a vibration detection and vibration analysis method, such as Figure 1 As shown, the vibration detection and vibration analysis method specifically includes steps S101-S105:

[0049] S101. Formulate a vibration detection path for each device to be detected in the factory according to the detection priority of each device to be detected.

[0050] Specifically, we first set the inspection priority of each device to be inspected based on expert experience, and then sort all the devices to be inspected in the factory from high to low in order of inspection priority to obtain the inspection sequence. Then, we formulate the vibration inspection path for each device to be inspected based on the inspection sequence.

[0051] As a feasible implementation method, Figure 2 A schematic diagram of a vibration detection path provided by an embodiment of the present invention, such as Figure 2 As shown, first, count the factory equipment, specify the equipment and monitoring points that need to be tested for vibration detection and analysis, especially the equipment that causes production interruption due to failure as the equipment to be tested. Then divide the branches to which the equipment to be tested belongs according to the flow of production materials in the factory area and the workshop area, and then set the priority level according to the importance of the equipment, and sort the equipment to be tested in each branch according to the priority level, so as to obtain the established vibration detection path.

[0052] S102. Standardize the multi-directional measuring point positions of the vibration detector on each device to be tested through a standard model structure; wherein the standard model structure includes a standard reducer, a standard bearing, and a standard measuring point.

[0053] Specifically, a standard reducer and a standard bearing are integrated inside the device to be tested. Then, based on the standard measuring points, the multi-directional measuring point positions on each device to be tested are standardized; wherein the multi-directional measuring point positions include vertical measuring point positions, horizontal measuring point positions, and axial measuring point positions.

[0054] As a feasible implementation method, the system integrates three model structures: standard reducer, standard bearing and standard measuring point, which can standardize the correct placement of vibration sensors, corresponding to the vertical direction (V), horizontal direction (H) and axial direction (A) of each point, and obtain and analyze vibration spectrum from multiple angles. The system also supports the addition of other non-standard equipment models and measuring points to enhance the scope of system use.

[0055] S103 . Install a vibration detector on each device to be detected according to the multi-directional measurement point positions, so as to collect vibration spectrum data of each device to be detected in multiple directions according to the vibration detection path.

[0056] Specifically, vibration detectors are installed at the vertical measuring point position, the horizontal measuring point position and the axial measuring point position on each device to be detected. Then, according to the detection order of each device to be detected on the vibration detection path, the corresponding vibration detectors are started in sequence. Vibration spectrum data of each device to be detected in the horizontal, vertical and axial directions are collected through the vibration detectors.

[0057] As a feasible implementation method, this system not only measures the vibration spectrum of a certain measuring point in one direction, but also measures and collects spectrum curves and the spectrum of other measuring points of this equipment in three directions: horizontal, axial and vertical, to summarize data, comprehensively analyze the cause of the fault, and distinguish the phase angle relationship. In addition, for complex fault hazards, the system can arbitrarily add detection points to avoid misjudgment of faults.

[0058] S104, performing time-frequency domain analysis on the vibration spectrum data to determine the equipment with excessive vibration and the corresponding phase spectrum.

[0059] Specifically, the vibration acceleration and vibration velocity of each device to be detected are obtained based on the collected vibration spectrum data. Then the vibration acceleration and vibration velocity are compared with the corresponding warning thresholds respectively. If the vibration acceleration or vibration velocity is greater than the corresponding warning threshold, the device to be detected is determined to be a vibration exceeding standard device.

[0060] As a feasible implementation method, according to the amplitude of the vibration acceleration and vibration velocity of the equipment, the equipment status is closely monitored and abnormal or faulty equipment is identified by comparing it with the equipment alarm threshold.

[0061] Furthermore, the vibration spectrum data of the equipment with excessive vibration is analyzed in the time domain and the frequency domain respectively to obtain the corresponding complex frequency domain curve. Specifically, the vibration spectrum data is converted from the time domain to the complex frequency domain through the Fourier transform function to obtain the complex frequency domain curve. Then, the complex frequency domain curves corresponding to the vibration spectrum data in different directions are compared and analyzed to determine the phase spectrum corresponding to the equipment with excessive vibration.

[0062] As a feasible implementation method, the present invention uses the spectrum collected from different directions to compare and analyze the phase relationship on the spectrum, accurately find the imbalance point, and then take effective corrective measures to eliminate the fault and restore the good state of the equipment. Spectral analysis is based on the analysis of Fourier function. The complex frequency domain curve is formed by superimposing countless sine waves according to the changes in the time domain and frequency domain. Then the phase spectrum is simulated through the characteristics of the spectrum.

[0063] S105: Input the phase spectrum into a spectrum recognition model to determine the fault type corresponding to the equipment with excessive vibration.

[0064] Specifically, firstly, a number of different vibration spectrum experimental data are collected, and based on the spectrum vibration analysis experiment, the actual fault type corresponding to each vibration spectrum experimental data is determined. Then, the phase spectrum of each vibration spectrum experimental data is extracted. The spectrum recognition model is trained through the phase spectrum characteristics and the corresponding actual fault type; wherein, the spectrum recognition model in the present invention is a neural network model.

[0065] Furthermore, the phase spectrum is input into the spectrum recognition model to extract the characteristics of the phase spectrum, and then the corresponding fault type is identified according to the characteristics of the phase spectrum. The fault types include at least: unidirectional force imbalance, couple imbalance, shaft bending and 1X RPM fault.

[0066] As a feasible implementation method, the present invention collects various equipment fault vibration spectra through experiments, extracts phase spectra, obtains training data, and then trains the spectrum recognition model to extract characteristic spectra to automatically determine the corresponding fault type.

[0067] On the other hand, the embodiment of the present invention also provides a vibration detection and vibration analysis system, such as Figure 3 As shown, the vibration detection and vibration analysis system 300 includes:

[0068] The vibration spectrum acquisition module 310 is used to formulate a vibration detection path for each device to be detected in the factory according to the detection priority of each device to be detected; standardize the multi-directional measurement point position of the vibration detector on each device to be detected through a standard model structure; wherein the standard model structure includes a standard reducer, a standard bearing and a standard measurement point; according to the multi-directional measurement point position, a vibration detector is installed on each device to be detected to collect multi-directional vibration spectrum data of each device to be detected according to the vibration detection path;

[0069] The vibration spectrum analysis module 320 is used to perform time-frequency domain analysis on the vibration spectrum data to determine the equipment with excessive vibration and the corresponding phase spectrum; input the phase spectrum into the spectrum recognition model to determine the fault type corresponding to the equipment with excessive vibration.

[0070] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0071] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0072] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification may be in the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the embodiments of this specification may be in the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0073] This specification is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0074] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0075] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0076] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0077] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0078] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0079] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0080] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0081] Each embodiment of the present invention is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0082] The above describes specific embodiments of the present invention. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0083] The above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the embodiments of the present invention may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present invention should be included in the protection scope of the present invention.

Claims

1. A vibration detection and vibration analysis method, characterized in that: The method comprises: According to the detection priority of each device to be detected, a vibration detection path for each device to be detected in the factory is formulated, specifically including: setting a corresponding detection priority according to the device type of each device to be detected in the factory; sorting the devices to be detected in order from high to low according to the detection priority to obtain a detection order; and formulating a vibration detection path for each device to be detected according to the detection order; Through the standard model structure, the multi-directional measuring point positions of the vibration detector on each device to be tested are standardized; wherein the standard model structure includes a standard reducer, a standard bearing and a standard measuring point; According to the multi-directional measuring point positions, a vibration detector is installed on each device to be detected, so as to collect the vibration spectrum data of each device to be detected in multiple directions according to the vibration detection path, specifically including: installing a vibration detector at a vertical measuring point position, a horizontal measuring point position and an axial measuring point position on each device to be detected; starting the corresponding vibration detector in sequence according to the detection order of each device to be detected on the vibration detection path; and collecting the vibration spectrum data of each device to be detected in the horizontal, vertical and axial directions through the vibration detector; Performing time-frequency domain analysis on the vibration spectrum data to determine the equipment with excessive vibration and the corresponding phase spectrum, specifically including: According to the collected vibration spectrum data, the vibration acceleration and vibration speed of each device to be tested are obtained; Comparing the vibration acceleration and the vibration speed with corresponding warning thresholds respectively; If the vibration acceleration or vibration speed is greater than the corresponding warning threshold, the device to be detected is determined to be a vibration-exceeding device; Performing time domain analysis and frequency domain analysis on the vibration spectrum data of the equipment with excessive vibration to obtain a corresponding complex frequency domain curve, specifically comprising: converting the vibration spectrum data from the time domain to the complex frequency domain through a Fourier transform function to obtain the complex frequency domain curve; Compare and analyze the complex frequency domain curves corresponding to the vibration spectrum data in different directions to determine the phase spectrum corresponding to the equipment with excessive vibration; Inputting the phase spectrum into a spectrum recognition model to determine the fault type corresponding to the vibration-exceeding equipment specifically includes: Inputting the phase spectrum into the spectrum recognition model to extract features of the phase spectrum; According to the characteristics of the phase spectrum, the corresponding fault type is identified; wherein the fault type includes at least: unidirectional force imbalance, couple imbalance, shaft bending and 1X RPM fault.

2. A vibration detection and vibration analysis method according to claim 1, characterized in that: Through the standard model structure, the multi-directional measuring point positions of the vibration detector on each device to be tested are standardized, including: Integrate the standard reducer and standard bearing inside the equipment to be tested; According to the standard measuring points, the multi-directional measuring point positions on each device to be detected are standardized; wherein the multi-directional measuring point positions include vertical measuring point positions, horizontal measuring point positions and axial measuring point positions.

3. A vibration detection and vibration analysis method according to claim 1, characterized in that: Before inputting the phase spectrum into a spectrum recognition model to determine the fault type corresponding to the equipment with excessive vibration, the method further includes: Collect a number of different vibration spectrum experimental data, and determine the actual fault type corresponding to each vibration spectrum experimental data based on the spectrum vibration analysis experiment; Extract the phase spectrum of each vibration spectrum experimental data; The spectrum recognition model is trained through the phase spectrum features and the corresponding actual fault types; the spectrum recognition model is a neural network model.

4. A vibration detection and vibration analysis system based on a vibration detection and vibration analysis method as claimed in claim 1, characterized in that: The system comprises: The vibration spectrum acquisition module is used to formulate the vibration detection path of each device to be detected in the factory according to the detection priority of each device to be detected; standardize the multi-directional measurement point position of the vibration detector on each device to be detected through the standard model structure; wherein the standard model structure includes a standard reducer, a standard bearing and a standard measurement point; according to the multi-directional measurement point position, the vibration detector is installed on each device to be detected to collect the multi-directional vibration spectrum data of each device to be detected according to the vibration detection path; The vibration spectrum analysis module is used to perform time-frequency domain analysis on the vibration spectrum data to determine the equipment with excessive vibration and the corresponding phase spectrum; the phase spectrum is input into the spectrum recognition model to determine the fault type corresponding to the equipment with excessive vibration.

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