SAFO: Serial Amplitude Modulation-Frequency Modulation Operator for Multichannel Multicomponent Signal Decomposition and Its Application to Rolling Bearing Fault Diagnosis

  • Jinde Zheng
  • , Peng Guoliang
  • , Haiyang Pan
  • , Jinyu Tong
  • , Qing Ni
  • , Ke Feng

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The amplitude modulation-frequency modulation operator (AFO) is an extension of the operator-based signal decomposition method, which uses the amplitude modulation-frequency modulation (AM-FM) signals as the basis functions. In this article, the single-channel AFO is extended to the multichannel case with the serial AFO (SAFO) proposed for multichannel signal decomposition. The proposed SAFO approach uses a concatenation technique to concatenate the multichannel signals into a single-channel signal and then the 1-D signal decomposition method AFO is used to deal with the obtained signal for obtaining several components. Ultimately, the final components are obtained by de-concatenating the 1-D components into multichannel status. SAFO preserves the original essence of AFO and its advantages. Then, a new fault diagnosis method for the rolling bearing is established based on the proposed SAFO for multichannel signal decomposition, the effective weighted sparse kurtosis (EWSK) indicator for the selection of modes containing rich feature information and the square envelope spectrum (SES) for fault information demodulation. Subsequently, the comparison of simulations and measured data is made and the analysis results demonstrate that the SAFO method is superior to the compared methods in the extraction of prominent and feature-rich fault features and fault diagnosis.

Original languageEnglish
Pages (from-to)5162-5177
Number of pages16
JournalIEEE Sensors Journal
Volume25
Issue number3
DOIs
StatePublished - 2025
Externally publishedYes

Keywords

  • Amplitude modulation-frequency modulation (AM-FM) signal
  • amplitude-frequency operator
  • multichannel signals
  • signal decomposition

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