Fault diagnosis of internal combustion engines using visual dot patterns of acoustic and vibration signals-Reference-Cited by-同舟云学术

Fault diagnosis of internal combustion engines using visual dot patterns of acoustic and vibration signals

Published:2005-12 Issue:8 Volume:38 Page:605-614
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Wu Jian-Da,Chuang Chao-Qin

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference15 articles.

1. Higher-order time–frequency analysis and its application to fault detection in rotating machinery;Lee;Mech Syst Signal Proc,1997

2. Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis;Lin;J Sound Vib,2000

3. Fault diagnosis of rotating machinery through visualization of sound signals;Shibata;Mech Syst Signal Proc,2000

4. The application of pseudo-phase portrait in machine condition monitoring;Wang;J Sound Vib,2003

5. Fault diagnosis in dynamic system using analytical and knowledge-based redundancy: a survey and some new results;Frank;IEEE Trans Automatic Control,1990

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