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Vilas N. Ghate et al.
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Enzo C. C. Lau et al.
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Hennie Daniels et al.
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Sang-hyuk Lee et al.
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Hayri Arabaci et al.
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Zengbing Xu et al.
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Van Tung Tran et al.
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Alireza Sadeghian et al.
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Sunan Huang et al.
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Abhijeet V. Nandedkar et al.
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H. A. Talebi et al.
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Fulya Altiparmak et al.
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An experimental study, about detection of bearing defects in inverter fed small induction motors by Concordia transform
Izzet Yilmaz Onel et al.
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Yean-Ren Hwang et al.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2009)
Machinery fault diagnosis based on fuzzy measure and fuzzy integral data fusion techniques
Xiaofeng Liu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2009)
Application of particle swarm optimization and proximal support vector machines for fault detection
B. Samanta et al.
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Detection of stator winding fault in induction motor using fuzzy logic
Pedro Vicente Jover Rodriguez et al.
APPLIED SOFT COMPUTING (2008)
FDI based on pattern recognition using Kalman prediction: Application to an induction machine
O. Ondel et al.
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Wavelet support vector machine for induction machine fault diagnosis based on transient current signal
Achmad Widodo et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
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Yaguo Lei et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
Development of an Intelligent Diagnostic System for Induction Machine Health Monitoring
G. K. Singh et al.
IEEE SYSTEMS JOURNAL (2008)
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Monia Ben Khader Bouzid et al.
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Fault detection in induction machines using power spectral density in wavelet decomposition
Jordi Cusido et al.
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Comparative analysis of spectral approaches to feature extraction for EEG-based motor imagery classification
Pawel Herman et al.
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Decision fusion system for fault diagnosis of elevator traction machine
Gang Niu et al.
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Ngoc-Tu Nguyen et al.
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A simplified scheme for induction motor condition monitoring
Pedro Vicente Jover Rodriguez et al.
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Speed sensorless control of induction motors based on a reduced-order adaptive observer
Marcello Montanari et al.
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Induction machine condition monitoring using neural network modeling
Hua Su et al.
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Adaptive neural fuzzy inference system for the detection of inter-turn insulation and bearing wear faults in induction motor
Makarand S. Ballal et al.
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Feature-based fault diagnosis system of induction motors using vibration signal
Tian Han et al.
JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING (2007)
A fuzzy min-max neural network classifier with compensatory neuron architecture
Abhijeet V. Nandedkar et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2007)
Harmonic modeling of induction motors
J Pedra et al.
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An artificial neural network application to fault detection of a rotor bearing system
H Taplak et al.
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Fault detection and fuzzy rule extraction in AC motors by a neuro-fuzzy ART-based system
GIS Palmero et al.
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Multiple signature processing-based fault detection schemes for broken rotor bar in induction motors
B Ayhan et al.
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A review of stator fault, monitoring techniques of induction motors
A Siddique et al.
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Broken rotor bar detection in induction machines with transient operating speeds
H Douglas et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION (2005)
Sensorless fault diagnosis of induction motors
K Kim et al.
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Application of AI tools in fault diagnosis of electrical machines and drives - An overview
MA Awadallah et al.
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Online condition monitoring of induction motors
FC Trutt et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2002)
Modern online testing of induction motors for predictive maintenance and monitoring
EJ Wiedenbrug et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2002)
Pattern recognition - A technique for induction machines rotor broken bar detection
M Haji et al.
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Current signature analysis to detect induction motor faults
WT Thomson et al.
IEEE INDUSTRY APPLICATIONS MAGAZINE (2001)
A fuzzy-logic-based approach to qualitative safety modelling for marine systems
HS Sii et al.
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The detection of inter-turn short circuits in the stator windings of operating motors
GM Joksimovic et al.
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General fuzzy min-max neural network for clustering and classification
B Gabrys et al.
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