Robust Motor Current Signature Analysis (MCSA)-based Fault Detection under Varying Operating Conditions
Author:
Affiliation:
1. Mitsubishi Electric Research Laboratories,Cambridge,MA
2. Mitsubishi Electric Corporation,Amagasaki,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9982721/9982797/09983454.pdf?arnumber=9983454
Reference15 articles.
1. The Harmonic Order Tracking Analysis Method for the Fault Diagnosis in Induction Motors Under Time-Varying Conditions
2. AI techniques in induction machines diagnosis including the speed ripple effect
3. Model-Based Analysis and Quantification of Bearing Faults in Induction Machines
4. Analysis of airgap flux, current, and vibration signals as a function of the combination of static and dynamic airgap eccentricity in 3-phase induction motors
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