Research on the composite fault diagnosis of gearbox based on local mean decomposition and Hilbert demodulation

For the sake of deriving the signature frequencies of the composite malfunctions of broken and worn teeth of gearbox, the essay raised a method on account of local mean decomposition and Hilbert demodulation to diagnose gearbox composite fault. The local mean decomposition translates a complicated m...

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Bibliographic Details
Published in:Measurement and control (London) 2023-09, Vol.56 (7-8), p.1350-1358
Main Authors: Wang, Jingyue, Chen, Tuojiang, Li, Jiangang, Wang, Haotian, Wang, Junnian
Format: Article
Language:English
Subjects:
Correlation coefficients
Decomposition
Demodulation
Fault diagnosis
Gearboxes
Malfunctions
Vibration analysis
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Summary:For the sake of deriving the signature frequencies of the composite malfunctions of broken and worn teeth of gearbox, the essay raised a method on account of local mean decomposition and Hilbert demodulation to diagnose gearbox composite fault. The local mean decomposition translates a complicated multi-component AM-FM signal into several PF elements with certain physical significance. Every PF component can be approximately regarded as a simplex component AM-FM signal. Using correlation coefficient method, the Hilbert envelope demodulation spectrum is analyzed by selecting the PF component which is strongly relevant to the incipient composite malfunction signal, and the malfunction signature frequency is identified from the demodulation spectrum. Through analyzing the emulation signal and the vibration signal of the actual gear box broken-wear complex fault, and compared with EMD, it is shown that the means can effectually discern the malfunction characteristic frequency in the composite fault signal.
ISSN:0020-2940
2051-8730
DOI:10.1177/00202940221118128