Analyze and Fault Diagnosis by Multi-scale PCA

This paper introduces a new methodology for fault diagnosis of rotating machinery in complex industrial process. In this fault diagnosis system, multi-scale principal component analysis (MSPCA) is used. The main contribution of this paper is the use of the MSPCA technique in the fault diagnosis base...

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Bibliographic Details
Main Authors: Lachouri, A., Baiche, K., Djeghader, R., Doghmane, N., Ouhtati, S.
Format: Conference Proceeding
Language:English
Subjects:
analyze
bearing
detection
estimation
Fault detection
Fault diagnosis
Frequency
Geometry
Laboratories
Machinery
maintenance
Matrix decomposition
MSPCA
Multi-scale
PCA
Preventive maintenance
Principal component analysis
rotating machinery
vibration
Vibrations
wavelet
Online Access:Request full text
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Summary:This paper introduces a new methodology for fault diagnosis of rotating machinery in complex industrial process. In this fault diagnosis system, multi-scale principal component analysis (MSPCA) is used. The main contribution of this paper is the use of the MSPCA technique in the fault diagnosis based on vibration analysis in rotating machinery. Their maintenance as well as their diagnosis then became an economic state. It is important to early detect the faults likely to appear in those motors and to implement a preventive maintenance.
DOI:10.1109/ICTTA.2008.4530069