A novel method for condition monitoring of rotating machinery based on statistical linguistic analysis and weighted similarity measures-Reference-Cited by-同舟云学术

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A novel method for condition monitoring of rotating machinery based on statistical linguistic analysis and weighted similarity measures

Published:2017-03 Issue: Volume:390 Page:272-288
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Lin Jinshan,Dou Chunhong

Funder

Shandong Provincial Natural Science Foundation China

Development Program of Science and Technology of Weifang City

Doctoral Science Foundation of Weifang University

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference25 articles.

1. Approximate entropy as a diagnostic tool for machine health monitoring;Yan;Mech. Syst. Signal Process.,2007

2. A review on empirical mode decomposition in fault diagnosis of rotating machinery;Lei;Mech. Syst. Signal Process.,2013

3. Prognostics and health management design for rotary machinery systems – reviews, methodology and applications;Lee;Mech. Syst. Signal Process.,2014

4. Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform;He;Mech. Syst. Signal Process.,2015

5. Gearbox fault detection using Hilbert and wavelet packet transform;Fan;Mech. Syst. Signal Process.,2006

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