TY - GEN
T1 - Improved Empirical AM and FM Demodulation for Mono-component Signals
AU - Peng, Dandan
AU - Liu, Zhiliang
AU - Li, Ronghui
AU - Li, Yongbo
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/27
Y1 - 2018/8/27
N2 - The fault vibration signal of rotating machinery usually represents an AM-FM characteristic, so demodulating vibration signal is an effective method for fault diagnosis. Hilbert transform (HT) is widely used to demodulate the monocomponent signal. Unfortunately, HT is likely to generate unexplainable negative frequencies. Therefore, the empirical AM and FM demodulation (EAD) method, instead of HT, is taken as an alternative to demodulate mono-component signal to overcome the negative frequency problem of HT. In this paper, an improved EAD is proposed to improve the signal demodulation performance from three aspects, including the boundary processing, envelope estimation and demodulation stopping criterion. For the boundary processing and envelope estimation, the mirror extension and moving average methods are used respectively. For demodulation stopping criterion, a soft demodulation stopping criterion is proposed to determine the optimal iteration numbers of demodulation process. Finally, the effectiveness and superiority of the improved EAD will be validated with a large number of simulation cases.
AB - The fault vibration signal of rotating machinery usually represents an AM-FM characteristic, so demodulating vibration signal is an effective method for fault diagnosis. Hilbert transform (HT) is widely used to demodulate the monocomponent signal. Unfortunately, HT is likely to generate unexplainable negative frequencies. Therefore, the empirical AM and FM demodulation (EAD) method, instead of HT, is taken as an alternative to demodulate mono-component signal to overcome the negative frequency problem of HT. In this paper, an improved EAD is proposed to improve the signal demodulation performance from three aspects, including the boundary processing, envelope estimation and demodulation stopping criterion. For the boundary processing and envelope estimation, the mirror extension and moving average methods are used respectively. For demodulation stopping criterion, a soft demodulation stopping criterion is proposed to determine the optimal iteration numbers of demodulation process. Finally, the effectiveness and superiority of the improved EAD will be validated with a large number of simulation cases.
KW - Empirical AM and FM Demodulation
KW - mono component signal
KW - negative frequency
KW - soft demodulation stopping criterion
UR - http://www.scopus.com/inward/record.url?scp=85062873550&partnerID=8YFLogxK
U2 - 10.1109/ICPHM.2018.8448469
DO - 10.1109/ICPHM.2018.8448469
M3 - 会议稿件
AN - SCOPUS:85062873550
T3 - 2018 IEEE International Conference on Prognostics and Health Management, ICPHM 2018
BT - 2018 IEEE International Conference on Prognostics and Health Management, ICPHM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Prognostics and Health Management, ICPHM 2018
Y2 - 11 June 2018 through 13 June 2018
ER -