The application of modern signal processing techniques for use in rotor fault detection and location within three-phase induction motors

DOI10.1016/0165-1684(95)00146-8zbMath0875.94059OpenAlexW2133775483MaRDI QIDQ1351566

O. Diekmann

Publication date: 27 February 1997

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-1684(95)00146-8

zbMATH Keywords

Transient analysisMachine condition monitoringFault detectionTime-frequency distributionsSignal analysisNon-stationary

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (4)

Application and optimization of the discrete wavelet transform for the detection of broken rotor bars in induction machines ⋮ Co-design of event generator and quantized fault detection for time-delayed networked systems with sensor saturations ⋮ A novel technique for rotor bar failure detection in single-cage induction motor using FEM and MATLAB/SIMULINK ⋮ Wavelet transform methods: application in electroenergetics

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