Gear crack level identification based on weighted K nearest neighbor classification algorithm-Reference-Cited by-同舟云学术

Gear crack level identification based on weighted K nearest neighbor classification algorithm

Published:2009-07 Issue:5 Volume:23 Page:1535-1547
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Lei Yaguo,Zuo Ming J.

Publisher

Elsevier BV

Subject

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

Reference30 articles.

1. An enhanced diagnostic system for gear system monitoring;Wang;IEEE Transactions on Systems, Man, and Cybernetics,2008

2. Gear failure prediction using multiscale local statistics;Loutridis;Engineering Structures,2008

3. Numerical and experimental analysis of a gear system with teeth defects;Fakhfakh;International Journal of Advanced Manufacture Technology,2005

4. Time domain averaging across all scales: a novel method for detection of gearbox faults;Halima;Mechanical Systems and Signal Processing,2008

5. Gearbox fault detection using Hilbert and wavelet packet transform;Fan;Mechanical Systems and Signal Processing,2006

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