@inproceedings{0f9456500c97457fa2291fea7534faa2,
title = "A signal selection scheme through order tracking techniques for planetary gearbox condition monitoring",
abstract = "Planetary gearbox is an important rotating machinery, and it always operates under non-stationary working conditions, thus its vibration signal exhibits complex time-varying modulation nature and therefore yields complicated spectral structures. Traditional signal processing methods, such as Fourier analysis, as a result face challenges for a proper fault diagnostic. To achieve a more effective fault diagnosis, this paper proposes a signal selection scheme which is based on order tracking techniques. The basic procedures of the proposed scheme are as follow: Firstly, Computed Order Tracking is applied to reveal order contents and identify the order(s) of interest. Secondly, Vold-Kalman filter order tracking is used to extract the order(s) of interest -These filtered order(s) constitute the so called selected vibration signal. Experimental studies on planetary gearbox demonstrate the effectiveness of the proposed method for planetary gearbox fault diagnosis.",
keywords = "Computed order tracking (COT), Fault diagnosis, Planetary gearbox, Vold-kalman filter order tracking (VKF-OT)",
author = "Ke Feng and Wang, \{K. S.\} and Peng Chen",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 ; Conference date: 19-10-2016 Through 21-10-2016",
year = "2017",
month = jan,
day = "16",
doi = "10.1109/PHM.2016.7819880",
language = "英语",
series = "Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Qiang Miao and Zhaojun Li and Zuo, \{Ming J.\} and Liudong Xing and Zhigang Tian",
booktitle = "Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016",
}