S., Padmakumar ; Agarwal, Vivek ; Roy, Kallol (2009) A Comparative Study into Observer based Fault Detection and Diagnosis in DC Motors: Part-I In: WASET sponsored International Conference on Electric Machines and Drive Systems (ICEMDS), March 23- 25, 2009, Hongkong, China.
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Official URL: https://doi.org/10.5281/zenodo.1076458
Abstract
A model based fault detection and diagnosis technique for DC motor is proposed in this paper. Fault detection using Kalman filter and its different variants are compared. Only incipient faults are considered for the study. The Kalman Filter iterations and all the related computations required for fault detection and fault confirmation are presented. A second order linear state space model of DC motor is used for this work. A comparative assessment of the estimates computed from four different observers and their relative performance is evaluated.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to World Academy of Science, Engineering and Technology. |
| Keywords: | Unscented Kalman Filter; DC Motor Model; Fault Detection; Diagnosis Kalman Filter. |
| ID Code: | 115394 |
| Deposited On: | 24 Mar 2021 11:09 |
| Last Modified: | 24 Mar 2021 11:09 |
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