A method for early warning and diagnosis of weak fault of rolling bearing

Yang Qin; Yan Lu

doi:10.1117/12.3054157

11 December 2024 A method for early warning and diagnosis of weak fault of rolling bearing

Yang Qin, Yan Lu

Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 134451O (2024) https://doi.org/10.1117/12.3054157
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China

Abstract

Aiming at these difficulties in early warning of weak fault signals and capture of weak features of rolling bearings, a method for early warning and diagnosis of weak fault of rolling bearings was proposed. Firstly, envelope components were extracted from bearing vibration signals, and the Improved Signal Noise Ratio (ISNR) was acted as the optimization objective function. This delay feedback stochastic resonance optimal model (TFSR) was constructed and combined with the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and this intrinsic mode component (IMF) screening, the first reconstructed signal was obtained, and its ISNR at the fault characteristic frequency was calculated and compared with the preset initial threshold to determine whether an early warning was issued. Then, if an early warning is issued, the vibration signal is denoised by multi-wavelet adjacency coefficient adaptive threshold method, and the denoised signal is screened by fast spectral kurtosis and ensemble empirical mode decomposition method to obtain the second restored signal. Then the improved rapid spectral coherence method is used to obtain this corresponding enhanced envelope spectrum to realize fault diagnosis. Finally, XJTU-SY data set is taken as an example to confirm the feasibility of this approach.

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Yang Qin and Yan Lu "A method for early warning and diagnosis of weak fault of rolling bearing", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 134451O (11 December 2024); https://doi.org/10.1117/12.3054157

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KEYWORDS

Vibration

Signal to noise ratio

Signal processing

Interference (communication)

Second harmonic generation

Stochastic processes

Modal decomposition

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