Wavlet analysis for rotor fault diagnosis with rub-impact of rotor systems

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

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. p. 2836-2843 (25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling; Vol. 5).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Gong, X, Luo, G & Georgiadis, A 2018, Wavlet analysis for rotor fault diagnosis with rub-impact of rotor systems. in 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling, vol. 5, International Institute of Acoustics and Vibration, IIAV, pp. 2836-2843, 25th International Congress on Sound and Vibration 2018: Hiroshima Calling, ICSV 2018, Hiroshima, Japan, 08.07.18.

APA

Gong, X., Luo, G., & Georgiadis, A. (2018). Wavlet analysis for rotor fault diagnosis with rub-impact of rotor systems. In 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling (pp. 2836-2843). (25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling; Vol. 5). International Institute of Acoustics and Vibration, IIAV.

Vancouver

Gong X, Luo G, Georgiadis A. Wavlet analysis for rotor fault diagnosis with rub-impact of rotor systems. In 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. International Institute of Acoustics and Vibration, IIAV. 2018. p. 2836-2843. (25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling).

Bibtex

@inbook{c6d6bf5ff525468ca77c09cdce31cc41,
title = "Wavlet analysis for rotor fault diagnosis with rub-impact of rotor systems",
abstract = "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.",
keywords = "Fault diagnosis, Rotating machinery, Rub-impact, Vibration signal, Wavelet energy, Engineering",
author = "Xiaoyun Gong and Guofu Luo and Anthimos Georgiadis",
year = "2018",
language = "English",
isbn = "9781510868458",
series = "25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling",
publisher = "International Institute of Acoustics and Vibration, IIAV",
pages = "2836--2843",
booktitle = "25th International Congress on Sound and Vibration 2018, ICSV 2018",
address = "United States",
note = "25th International Congress on Sound and Vibration 2018: Hiroshima Calling, ICSV 2018 ; Conference date: 08-07-2018 Through 12-07-2018",

}

RIS

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 -