Wavlet analysis for rotor fault diagnosis with rub-impact of rotor systems
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Wavlet analysis for rotor fault diagnosis with rub-impact of rotor systems. / Gong, Xiaoyun; Luo, Guofu; Georgiadis, Anthimos.
25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. International Institute of Acoustics and Vibration, IIAV, 2018. S. 2836-2843 (25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling; Band 5).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Wavlet analysis for rotor fault diagnosis with rub-impact of rotor systems
AU - Gong, Xiaoyun
AU - Luo, Guofu
AU - Georgiadis, Anthimos
PY - 2018
Y1 - 2018
N2 - For vibration signal generated by rubbing fault in rotary machinery including the single-point rubbing and the partial rubbing, multi-component harmonic frequencies are presented. According to the vibration response of the rotor rub-impact, wavelet packet energy method is used to extract the frequency character from rub-impact fault signal. It can resolve the difficulty of mul-ti-component fault feature extraction of rubbing fault and multi-faults with rub-impact. In this paper, the rubbing fault signals collected by displacement sensor and acceleration sensor were decomposed clearly into different frequency band by using wavelet packet method. The vibration signals from experiment rig of rub-impact rotor include just rub-impact and multi-faults with imbalance and rub-impact. The energy strength belonged to different fault frequency in the frequency band is obtained respectively. The analysis results of the rubbing signals indicate that the multiple features can be better extracted with the wavelet packet energy, and it is effective in analysis and recognition of rubbing fault.
AB - For vibration signal generated by rubbing fault in rotary machinery including the single-point rubbing and the partial rubbing, multi-component harmonic frequencies are presented. According to the vibration response of the rotor rub-impact, wavelet packet energy method is used to extract the frequency character from rub-impact fault signal. It can resolve the difficulty of mul-ti-component fault feature extraction of rubbing fault and multi-faults with rub-impact. In this paper, the rubbing fault signals collected by displacement sensor and acceleration sensor were decomposed clearly into different frequency band by using wavelet packet method. The vibration signals from experiment rig of rub-impact rotor include just rub-impact and multi-faults with imbalance and rub-impact. The energy strength belonged to different fault frequency in the frequency band is obtained respectively. The analysis results of the rubbing signals indicate that the multiple features can be better extracted with the wavelet packet energy, and it is effective in analysis and recognition of rubbing fault.
KW - Fault diagnosis
KW - Rotating machinery
KW - Rub-impact
KW - Vibration signal
KW - Wavelet energy
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85058694103&partnerID=8YFLogxK
M3 - Article in conference proceedings
AN - SCOPUS:85058694103
SN - 9781510868458
T3 - 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling
SP - 2836
EP - 2843
BT - 25th International Congress on Sound and Vibration 2018, ICSV 2018
PB - International Institute of Acoustics and Vibration, IIAV
T2 - 25th International Congress on Sound and Vibration 2018: Hiroshima Calling, ICSV 2018
Y2 - 8 July 2018 through 12 July 2018
ER -