Unknown Input Observer-Based Fault Diagnosis in Induction Machine: Theory and Experiment - Université d'Artois Access content directly
Journal Articles Electric Power Components and Systems Year : 2019

Unknown Input Observer-Based Fault Diagnosis in Induction Machine: Theory and Experiment

Abstract

This paper presents an observer-based approach to diagnosis and detect inter-turn short-circuit fault in induction machine based on residual generation. Residual signals are generated by taking measured three-phase stator currents and those reconstructed by unknown input observer. By comparing these residuals to a predefined threshold, such fault can be detected and fault signatures are obtained. These signatures are used to develop a faulty phase isolation algorithm. The ability to detect the fault and isolate the faulty phase is tested by simulation and validated using experimental test bench with real-time interface based on the dSpace environment.
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Amal Guezmil, Hanen Berriri, Remus Pusca, Anis Sakly, Raphael Romary, et al.. Unknown Input Observer-Based Fault Diagnosis in Induction Machine: Theory and Experiment. Electric Power Components and Systems, 2019, 46 (11-12), pp.1351-1363. ⟨10.1080/15325008.2018.1485062⟩. ⟨hal-03688776⟩

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