A Local Modulation Signal Bispectrum for Multiple Amplitude and Frequency Modulation Demodulation in Gearbox Fault Diagnosis

Junchao Guo, Qingbo He, Yang Yang, Dong Zhen, Fengshou Gu, Andrew Ball

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes a novel multiple amplitude modulation and frequency modulation (AM-FM) demodulation method based on local modulation signal bispectrum (LMSB), which can demodulate the fault features of different components from the gearbox signal with multi-mesh frequency bands and multi-modulation components. Firstly, the collected measurement signal is decomposed into a series of sub-band signals, and the generated sub-band signals are demodulated by modulation signal bispectrum (MSB), which realizes the simultaneous demodulation of multi-mesh frequency bands and multi-modulation components. Subsequently, each sub-band signal resulting from MSB demodulation is synchronously averaged to generate the LMSB, which removes random noise and interference frequencies from the sub-band signals. Finally, the periodic modulation intensity (PMI) is utilized to evaluate the ability of the LMSB to demodulate multi-component signals with AM-FM components. The effectiveness of LMSB in processing multi-component signals with AM-FM components is demonstrated by numerical simulation signals and experimental analysis. Analysis results demonstrate the superiority of LMSB in multiple AM-FM demodulation compared with MSB, envelope analysis (EA) and Teager energy operator (TEO). This research provides a novel perspective for gearbox fault detection
Original languageEnglish
JournalStructural Health Monitoring
Publication statusAccepted/In press - 25 Nov 2022

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