NDLI: Online Model-Based Stator-Fault Detection and Identification in Induction Motors

Content Provider	IEEE Xplore Digital Library
Author	De Angelo, C.H. Bossio, G.R. Giaccone, S.J. Valla, M.I. Solsona, J.A. Garcia, G.O.
Copyright Year	1982
Abstract	In this paper, a model-based strategy for stator-interturn short-circuit detection on induction motors is presented. The proposed strategy is based on the generation of a vector of specific residual using a state observer. The vectorial residual is generated from a decomposition of the current estimation error. This allows for a fast detection of incipient faults, independently of the phase in which the fault occurs. Since the observer includes an adaptive scheme for rotor-speed estimation, the proposed scheme can be implemented for online monitoring, by measuring only stator voltages and currents. It is shown that the proposed strategy presents very low sensitivity to load variations and power-supply perturbations. Experimental results are included to show the ability of the proposed strategy for detecting incipient faults, including a low number of short-circuited turns and low fault current.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	4671
Ending Page	4680
Page Count	10
File Size	429768
File Format	PDF
ISSN	02780046
Volume Number	56
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stators Induction motors Induction generators Observers Fault detection Estimation error Phase detection Rotors Monitoring Current measurement stator faults Detection identification induction motors (IMs) model based observer short circuit
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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