Analytical Model for Separated Frequency Signature of Outer Race Bearing Fault From Static Eccentricity
Author:
Affiliation:
1. University of Constantine 1 Electrical Laboratory of Constantine “LEC”, Constantine, Algeria
2. University of Orleans PRISME Laboratory Chartres, France
3. INSA Centre Val de Loire PRISME Laboratory, Bourges, France
Abstract
Publisher
North Atlantic University Union (NAUN)
Subject
Electrical and Electronic Engineering,Signal Processing
Reference23 articles.
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2. H. Khelfi and S. Hamdani, “Induction Motor Rotor Fault Diagnosis Using Three-Phase Current Intersection Signal,” Electrical Engineering 102, Vol. 2, June 2020, pp. 539-48.
3. Y. Trachi, E. Elbouchikhi, V. Choqueuse, and M.E.H. Benbouzid, “Induction machines fault detection based on subspace spectral estimation,” IEEE Transactions on Industrial Electronics 63, Vol. 9, 2016, pp. 5641-51
4. T. Yang, H. Pen, Z. Wang, and C. S. Chang, “Feature Knowledge Based Fault Detection of Induction Motors Through the Analysis of Stator Current Data,” IEEE Transactions on Instrumentation and Measurement 65, Vol. 3, mars 2016, pp. 549-58.
5. D. Gaëtan, “Modélisation et diagnostic de la machine asynchrone en présence de défaillances,” Ph.D. thesis Henri Poincaré Univ., Nancy-I, 2004.
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