Detection of Early Faults in Rotating Machinery Based on Wavelet Analysis
Joint Authors
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper explores the application of wavelet analysis for the detection of early changes in rotor dynamics caused by common machinery faults, namely, rotor unbalance and minor blade rubbing conditions.
In this paper, the time synchronised wavelet analysis method was formulated and its effectiveness to detect machinery faults at the early stage was evaluated based on signal simulation and experimental study.
The proposed method provides a more standardised approach to visualise the current state of rotor dynamics of a rotating machinery by taking into account the effects of time shift, wavelet edge distortion, and system noise suppression.
The experimental results showed that this method is able to reveal subtle changes of the vibration signal characteristics in both the frequency content distribution and the amplitude distortion caused by minor rotor unbalance and blade rubbing conditions.
Besides, this method also appeared to be an effective tool to diagnose and to discriminate the different types of machinery faults based on the unique pattern of the wavelet contours.
This study shows that the proposed wavelet analysis method is promising to reveal machinery faults at early stage as compared to vibration spectrum analysis.
American Psychological Association (APA)
Lim, Meng Hee& Leong, M. S.. 2013. Detection of Early Faults in Rotating Machinery Based on Wavelet Analysis. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-486169
Modern Language Association (MLA)
Lim, Meng Hee& Leong, M. S.. Detection of Early Faults in Rotating Machinery Based on Wavelet Analysis. Advances in Mechanical Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-486169
American Medical Association (AMA)
Lim, Meng Hee& Leong, M. S.. Detection of Early Faults in Rotating Machinery Based on Wavelet Analysis. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-486169
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-486169