Fault diagnosis method and device for mechanical equipment and terminal
A technology for mechanical equipment and fault diagnosis, applied in the testing of mechanical components, measuring devices, testing of machine/structural components, etc., can solve the problem of low accuracy and achieve the effect of accurate fault diagnosis results
Pending Publication Date: 2022-03-22
STATE GRID HEBEI ELECTRIC POWER RES INST +2
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[0004] The present invention provides a fault identification method, device and terminal for mechanical equipment to solve the problem of low accuracy of fault diagnosis for parts of mechanical equipment
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[0051] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
[0052] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will be described through specific embodiments in conjunction with the accompanying drawings.
[0053] see figure 1 , which shows the implementation flow chart of the fault diagnosis method for mechanical equipment provided by the embodiment of the present i...
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The invention provides a fault diagnosis method and device for mechanical equipment and a terminal. The method comprises the following steps: acquiring a vibration signal of mechanical equipment; acquiring a vibration signal of the mechanical equipment; performing empirical mode decomposition on the vibration signal to obtain a plurality of IMF components of the vibration signal; respectively calculating the K-L divergence value of each IMF component and the vibration signal; performing clustering analysis on each K-L divergence value to obtain two clusters; comparing the sizes of the two clusters based on a K-L divergence value, and taking the IMF component in the larger cluster as a false IMF component; removing a false IMF component in the IMF components of the vibration signal to obtain a real IMF component of the vibration signal; and inputting each real IMF component into the target fault diagnosis model to obtain a fault diagnosis result of the mechanical equipment. According to the embodiment of the invention, clustering analysis is carried out on each IMF component and the K-L divergence value of the vibration signal, false IMF components of the vibration signal can be accurately removed, and thus a more accurate fault diagnosis result can be obtained.
Description
technical field [0001] The present invention relates to the technical field of mechanical equipment, in particular to a fault diagnosis method, device and terminal for mechanical equipment. Background technique [0002] With the overall improvement of my country's manufacturing industry, the internal structure of mechanical equipment such as steam turbines is becoming more and more complex, especially for high-level units. When individual components fail, serious consequences may occur. Therefore, it is necessary to find out the internal components of mechanical equipment in time Component failure to ensure the reliability of equipment operation. [0003] At present, the common fault method of mechanical equipment is to collect the vibration signal when the mechanical equipment is running, and to diagnose the fault of the parts of the mechanical equipment by analyzing the characteristics of the vibration signal. At present, the commonly used vibration signal feature extracti...
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IPC IPC(8): G06K9/62G06K9/00G06F17/18G01M13/00
CPCG06F17/18G01M13/00G06F2218/08G06F2218/12G06F18/23213
Inventor 李路江张伟江杜威李浩李晖李宁
Owner STATE GRID HEBEI ELECTRIC POWER RES INST