@inproceedings{183b5d005aa546208545dee9c328a765,
title = "Application of order-Tracking holospectrum to cracked rotor fault diagnostics under nonstationary conditions",
abstract = "Holospectrum is a technique to fuse two perpendicular vibrations and offer a complete description of rotor rotating states which is intractable by using traditional one direction vibration. The method is based upon accurate Frequency spectrum, therefore it still suffers from non-stationary nature of vibration data, such as rotor speed up or coast down. For this reason, this paper explores order tracking Holospectrum and extracts parameters of angle of the long axis γ and eccentricity e of order tracking Holospectrum ellipse for diagnostic purposes. The experimental results show that these two parameters are effective to rotor crack detection.",
keywords = "Cracked rotor, Fault diagnosis, Holospectrum, Non-stationary, Oder-Tracking",
author = "Peng Chen and Kesheng Wang and Ke Feng",
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.2016.7819887",
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",
}