Non-stationary vibration feature extraction method based on sparse decomposition and order tracking for gearbox fault diagnosis-Reference-Cited by-同舟云学术

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Non-stationary vibration feature extraction method based on sparse decomposition and order tracking for gearbox fault diagnosis

Published:2018-08 Issue: Volume:124 Page:453-469
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Yongzhuo,Ding Kang,He Guolin,Jiao Xintao

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference19 articles.

1. Adaptive filtering based system for extracting gearbox condition feature from the measured vibrations;Ibrahim;Measurement,2013

2. Local fault detection in helical gears via vibration and acoustic signals using EMD based statistical parameter analysis;Amarnath;Measurement,2014

3. Vibration mechanisms of spur gear pair in healthy and fault states;Li;Mech. Syst. Signal Proc.,2016

4. Condition monitoring and fault diagnosis of planetary gearboxes: a review;Lei;Measurement,2014

5. Gear crack detection using modified TSA and proposed fault indicators for fluctuating speed conditions;Sharma;Measurement,2016

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