Diagnosis method based on wavelet coefficient scale relativity correlation dimension for fault

Citation metadata

Date: June 2008
Publisher: Springer
Document Type: Article
Length: 153 words

Document controls

Main content

Abstract :

Byline: Junjie Gu (1), Jin Tian (1), Xuezhi Peng (1) Keywords: wavelet coefficient; scale relativity; fault diagnosis; correlation dimension; fan Abstract: Correlation dimension as a tool to describe machinery condition is introduced. Vibration signals of the fan under different working conditions are analyzed using a threshold filtering algorithm based on the region relativity of the wavelet coefficients for reducing noise. The result shows that the characteristics of the signal could be preserved completely. The correlation dimension is able to identify conditions of the fan with faults compared with the normal condition, thereby providing an effective technology for condition monitoring and fault diagnosis of mechanical equipment. Author Affiliation: (1) Education Ministry Key Laboratory on Condition Monitoring and Control for Power Plant Equipment, North China Electric Power University, Baoding, 071003, China Article History: Registration Date: 02/05/2008 Online Date: 24/05/2008 Article note: Translated from Journal of North China Electric Power University, 2007, 34(1): 59--62 [e-ea: aacuaa$?SSa|a|aeY=]

Source Citation

Source Citation   

Gale Document Number: GALE|A206240511