Remaining Useful Life Prediction for Rolling Bearings With a Novel Entropy-Based Health Indicator and Improved Particle Filter Algorithm

Author:

Zhang Tianyu1ORCID,Wang Qingfeng1ORCID,Shu Yue2,Xiao Wang3,Ma Wensheng4

Affiliation:

1. Beijing Key Laboratory of Health Monitoring and Self-Recovery of High-End Machinery Equipment, Beijing University of Chemical Technology, Beijing, China

2. Hefei General Machinery Research Institute Company Ltd., Hefei, Anhui, China

3. Western Branch of National Pipe Network Group United Pipeline Company Ltd., Wulumuqi, Xinjiang, China

4. School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China

Funder

Open Fund of the State Key Laboratory of Compressor Technology

National Pipeline Network Group

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference50 articles.

1. On smoothing macroeconomic time series using the modified HP filter

2. Postwar U.S. Business Cycles: An Empirical Investigation

3. PRONOSTIA: An experimental platform for bearings accelerated deterioration tests;nectoux;Proc IEEE Int Conf Prognostics Health Manage,2012

4. Fusion prediction method of remaining useful life for T/R module based on multi-indicator similarity;hou;J Nat'l Univ of Defense Technology,2019

5. Multiscale entropy analysis of complex heart rate dynamics: discrimination of age and heart failure effects

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