Padmakumar, S. ; Roy, Kallol ; Agarwal, Vivek (2008) Induction Machines: A Novel, Model based Non-invasive Fault Detection and Diagnosis Technique In: 2008 Joint International Conference on Power System Technology and IEEE Power India Conference, 12-15 Oct. 2008, New Delhi, India.
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Official URL: http://doi.org/10.1109/ICPST.2008.4745282
Related URL: http://dx.doi.org/10.1109/ICPST.2008.4745282
Abstract
Model based fault detection and diagnosis in induction motor is gaining importance as it can take care of model and measurement uncertainties with the help of variants of Kalman Filters. A study of such a methodology and the potential to apply the same online is discussed. Mainly soft faults are considered for this work and MATLAB simulation results are presented. The data generation, filter convergence issues, hypothesis testing, generalized likelihood estimates etc. are addressed. A SIMLINK model is used for data generation and various types of faults are introduced. An extended Kalman filter using MATLAB is run to detect the changes.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to Institute of Electrical and Electronics Engineers. |
| Keywords: | Extended Kalman Filter; Fault Detection and Diagnosis; Induction Motor Model. |
| ID Code: | 115377 |
| Deposited On: | 24 Mar 2021 11:11 |
| Last Modified: | 24 Mar 2021 11:11 |
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