2006
DOI: 10.1109/iecon.2006.347895
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Model Based Stator Fault Detection in Induction Motors

Abstract: A new strategy for stator fault diagnosis in induction motors is presented in this paper. The proposed strategy is based on the generation of a vector of specific residual using a state observer. The residual allows the detection of the faulted motor phase and the quantification of the number of shortcircuited turns. This strategy is robust to motor load variation and power supply perturbations.

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Cited by 14 publications
(7 citation statements)
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“…1. In [21], a new dynamic IM model was proposed. Different from the one presented in [12], this model allows consideration of interturn short circuits in any motor phase by means of a vectorial fault factor.…”
Section: Im Model With Stator Faultmentioning
confidence: 99%
See 3 more Smart Citations
“…1. In [21], a new dynamic IM model was proposed. Different from the one presented in [12], this model allows consideration of interturn short circuits in any motor phase by means of a vectorial fault factor.…”
Section: Im Model With Stator Faultmentioning
confidence: 99%
“…Artificial neural networks [18] and neuro-fuzzy techniques [19] are used to automatically diagnose stator faults from current and voltage measurement, mainly in online condition-monitoring systems. For online diagnosis, observer-based [20], [21] and parameter-estimation techniques [22] have also been recently presented.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…The short-circuit may occur anywhere in the distributed winding, as shown in Fig 1. This paper also presents the derivation of the steady-state phasor model based on the transient model, suitable for analytical studies. The transient and steady-state models are useful for diagnostics [11], [12], [13], [14], as well as for load emulation [15].…”
Section: Introductionmentioning
confidence: 99%