TY - JOUR
T1 - A Local Modulation Signal Bispectrum for Multiple Amplitude and Frequency Modulation Demodulation in Gearbox Fault Diagnosis
AU - Guo, Junchao
AU - He, Qingbo
AU - Yang, Yang
AU - Zhen, Dong
AU - Gu, Fengshou
AU - Ball, Andrew
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Basic Research Foundation (Grant No. MKF20210013).
Publisher Copyright:
© The Author(s) 2023.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - 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
AB - 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
KW - LMSB
KW - Multiple AM-FM demodulation
KW - Periodic modulation intensity
KW - Gearbox
KW - Fault diagnosis
KW - fault diagnosis
KW - periodic modulation intensity
KW - gearbox
KW - multiple AM–FM demodulation
UR - http://www.scopus.com/inward/record.url?scp=85147493934&partnerID=8YFLogxK
U2 - 10.1177/14759217221144724
DO - 10.1177/14759217221144724
M3 - Article
VL - 22
SP - 3189
EP - 3205
JO - Structural Health Monitoring
JF - Structural Health Monitoring
SN - 1475-9217
IS - 5
ER -