@inproceedings{90b19b8876d54d919772be4dde15f060,
title = "A Multi-component Bearing Fault Diagnosis Using Fast Iterative Filtering Technique",
keywords = "AM-FM, Bearing fault diagnosis, Fast iterative filtering, Intrinsic mode functions, Multi-components",
author = "Xing, \{J. P.\} and Lin, \{T. R.\} and D. Mba",
note = "Funding Information: Acknowledgements Financial supports from Shandong provincial government through the Shandong province key research project funding (Funding No: 2018GGX109011) and from Qingdao municipal government through the Qingdao Innovation leadership program for this work are gratefully acknowledged. The financial support from Shandong Provincial Government of the People{\textquoteright}s Republic of China through the privileged “Taishan scholar” program is also gratefully acknowledged. Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2019 ; Conference date: 03-09-2019 Through 05-09-2019",
year = "2020",
doi = "10.1007/978-3-030-57745-2\_51",
language = "English",
isbn = "9783030577445",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "609--620",
editor = "Andrew Ball and Len Gelman and B.K.N. Rao",
booktitle = "Advances in Asset Management and Condition Monitoring, COMADEM 2019",
}