Fault diagnosis of automobile main reducer based on correlation dimension

2006 ◽  
Author(s):  
Pang Mao ◽  
Zhou Xiaojun ◽  
Yang Chenlong
Keyword(s):  
Fault Diagnosis ◽  
Correlation Dimension

The application of a correlation dimension in large rotating machinery fault diagnosis

2000 ◽  
Vol 214 (7) ◽  
pp. 921-930 ◽  
Author(s):  
W Wang ◽  
J Chen ◽  
Z Wu
Keyword(s):  
Fault Diagnosis ◽  
Dynamic System ◽  
Influencing Factors ◽  
Correlation Dimension ◽  
Rotating Machinery ◽  
Vibration Signals ◽  
Machinery Fault Diagnosis

This paper reports on the application of the correlation dimension in large rotating machinery fault diagnosis. The Grassberger-Procaccia algorithm and its modified version are introduced. Some important influencing factors relating directly to the computational precision of the correlation dimension are discussed. Industrial vibration signals measured from large rotating machinery with different faults are researched using the above-mentioned methods. The results show that the correlation dimension can provide some intrinsic information on an underlying dynamic system and can be used to classify different faults intelligently.

scholarly journals A Fault Diagnosis Method for Satellite Flywheel Bearings Based on 3D Correlation Dimension Clustering Technology

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 78483-78492 ◽  
Author(s):  
Changrui Chen ◽  
Tian He ◽  
Dengyun Wu ◽  
Qiang Pan ◽  
Hong Wang ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Correlation Dimension ◽  
Diagnosis Method
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