Induction motors broken rotor bars detection using MCSA and neural network: experimental research

Advances in Diagnostic Techniques for Induction Machines

A. Bellini, F. Filippetti, C. Tassoni et al. · IEEE Transactions on Industrial Electronics · 2008 · 1.1K citations · Full text

Engineering, Electrical Engineering, Diagnostic Reasoning +15

Current Signature Analysis to Detect Induction Motor Faults

William T. Thomson, M. Fenger · IEEE Industry Applications Magazine · 2001 · 1.1K citations

Engineering, Electrical Engineering, Condition Assessment +16

Online Diagnosis of Induction Motors Using MCSA

Jee‐Hoon Jung, Jong-Jae Lee, Bong‐Hwan Kwon · IEEE Transactions on Industrial Electronics · 2006 · 565 citations

Engineering, Electrical Engineering, Electric Machines +16

Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks

Miguel Delgado-Prieto, Giansalvo Cirrincione, J. A. Ortega et al. · IEEE Transactions on Industrial Electronics · 2012 · 456 citations

Computing, Computer Science, Electrical Engineering +17

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

David G. Dorrell, William T. Thomson, Stephanie S. Roach · IEEE Transactions on Industry Applications · 1997 · 443 citations

Engineering, Electrical Engineering, Electric Machines +16