Adaptive System Identification and Severity Index-Based Fault Diagnosis in Motors

In this paper, a model-based fault detection and isolation (FDI) method is presented using an adaptive system identification approach. The proposed FDI method consists of three essential steps: adaptive modeling and residual generation, fault detection using adaptive hybrid threshold, and fault iden...

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Bibliographic Details
Published in:IEEE/ASME transactions on mechatronics 2019-08, Vol.24 (4), p.1628-1639
Main Authors: Abid, Anam, Khan, Muhammad Tahir, Lang, Haoxiang, de Silva, Clarence W.
Format: Article
Language:English
Subjects:
Adaptation models
Adaptive systems
Adaptive threshold
Fault detection
Fault diagnosis
fault severity index
Harmonic analysis
Identification
Induction motors
Modelling
multiple-model banks
Power system harmonics
Rotors
System identification
System reliability
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Summary:In this paper, a model-based fault detection and isolation (FDI) method is presented using an adaptive system identification approach. The proposed FDI method consists of three essential steps: adaptive modeling and residual generation, fault detection using adaptive hybrid threshold, and fault identification using fault severity indices. The primary task is based on current signal modeling using an input-output identification method. The modeled signal is utilized for residual generation and a dynamic and hybrid thresholding method is used for residual analysis and fault detection. Moreover, the concept of fault severity indices is incorporated for the identification of fault type and severity level. In this study, the proposed method is experimentally investigated using an induction motor testbed. Fault detection and identification is performed for broken rotor bar as well as inner race and outer race bearing faults. Experimental results are included to demonstrate the feasibility of the proposed method for fault detection and isolation. The results demonstrate robust fault detection and accurate fault isolation. The proposed fault diagnosis method provides an efficient flexible solution for improving system reliability and safety.
ISSN:1083-4435
1941-014X
DOI:10.1109/TMECH.2019.2917749