%0 Journal Article
	%A Padmakumar S. and  Vivek Agarwal and  Kallol Roy 
	%D 2009
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 27, 2009
	%T An Investigative Study into Observer based Non-Invasive Fault Detection and Diagnosis in Induction Motors
	%U https://publications.waset.org/pdf/4347
	%V 27
	%X A new observer based fault detection and diagnosis
scheme for predicting induction motors- faults is proposed in this
paper. Prediction of incipient faults, using different variants of
Kalman filter and their relative performance are evaluated. Only soft
faults are considered for this work. The data generation, filter
convergence issues, hypothesis testing and residue estimates are
addressed. Simulink model is used for data generation and various
types of faults are considered. A comparative assessment of the
estimates of different observers associated with these faults is
included.
	%P 490 - 495