Gear fault detection using artificial neural networks and support vector machines with genetic algorithms-Reference-Cited by-同舟云学术

Gear fault detection using artificial neural networks and support vector machines with genetic algorithms

Published:2004-05 Issue:3 Volume:18 Page:625-644
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Samanta B.

Publisher

Elsevier BV

Subject

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

Reference31 articles.

1. Bearing condition diagnostics via vibration and acoustic emission measurements;Shiroishi;Mechanical Systems and Signal Processing,1997

2. Detection of gear faults by decomposition of matched differences of vibration signals;McFadden;Mechanical Systems and Signal Processing,2000

3. A.K. Nandi, Advanced digital vibration signal processing for condition monitoring, Proceedings of 13th Conference of Condition Monitoring and Diagnostic Engineering Management (COMADEM), Houston, TX, USA, 2000, pp. 129–143.

4. Special issue on gear and bearing diagnostics;Mechanical Systems and Signal Processing,2001

5. Gear fault diagnosis using energy-based features of acoustic emission signals;Al-Balushi;Proceedings of Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering,2002

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