Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals-Reference-Cited by-同舟云学术

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

Published:2016-08 Issue: Volume:76-77 Page:283-293
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Li Chuan^ORCID,Sanchez René-Vinicio,Zurita Grover,Cerrada Mariela,Cabrera Diego,Vásquez Rafael E.

Funder

National Natural Science Foundation of China

Youth Science and Technology Talents Project of Chongqing

Publisher

Elsevier BV

Subject

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

Reference39 articles.

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2. Two new features for condition monitoring and fault diagnosis of planetary gearboxes;Lei;J. Vib. Control,2015

3. Application of a near-field acoustic holography-based diagnosis technique in gearbox fault diagnosis;Hou;J. Vib. Control,2013

4. Intelligent fault diagnosis of rotating machinery using infrared thermal image;Younus;Expert Syst. Appl.,2012

5. Condition monitoring of gearboxes using synchronously averaged electric motor signals;Ottewill;Mech. Syst. Signal Process.,2013

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