Adaptive hidden Markov model-based online learning framework for bearing faulty detection and performance degradation monitoring-Reference-Cited by-同舟云学术

Adaptive hidden Markov model-based online learning framework for bearing faulty detection and performance degradation monitoring

Published:2017-01 Issue: Volume:83 Page:149-162
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Yu Jianbo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

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3. Prognostics of slurry pumps based on a moving-average wear degradation index and a general sequential Monte Carlo method;Wang;Mech. Syst. Signal Process.,2015

4. Robust performance degradation assessment methods for enhanced rolling element bearing prognostics;Qiu;Adv. Eng. Inform.,2003

5. An industrial strength novelty detection framework for autonomous equipment monitoring and diagnosis;Filev;IEEE Trans. Ind. Inform.,2010

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