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

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...

Full description

Saved in:
Bibliographic Details
Published inElectric power components and systems Vol. 46; no. 11-12; pp. 1351 - 1363
Main Authors Guezmil, Amal, Berriri, Hanen, Pusca, Remus, Sakly, Anis, Romary, Raphael, Mimouni, Mohamed Faouzi
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 21.07.2018
Taylor & Francis Ltd
Subjects
Algorithms
Computer simulation
Electric power
Engineering Sciences
Fault diagnosis
induction machine
Induction motors
residual generation
Short circuits
Signal generation
Signatures
unknown input observer
unknown input observer
induction machine
fault diagnosis
residual generation
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:1532-5008
1532-5016
DOI:10.1080/15325008.2018.1485062