CONDITION MONITORING AND FAULT DIAGNOSIS OF ROTATING MACHINERY USING WAVELET AND NEURAL NETWORKS APPROACHES

FAULT DETECTION – CLASSIFICATION THROUGH VIBRATION MONITORING USING ARTIFICIAL NEURAL NETWORKS

Artificial Neural Network Model for Fault Diagnosis of Rotating Machine in ETRR-2 Research Reactor

Rotary Machines Fault Diagnosis based on Principal Component Analysis

Fault Diagnosis in Dynamic Systems Using Recurrent Neural Networks

PREDICTIVE MAINTENANCE BASED ON EARLIER FAULT DETECTION OF MULTI PHASE INDUCTION MACHINES USING NEURAL NETWORK ARTIFICIAL INTELLIGENT TECHNIQUES

Fault diagnosis of rolling element bearing based on the empirical wavelet transform technique and correlation coefficient

NEURAL NETWORK-BASED APPROACH FOR DETECTION AND MAGNITUDE DETERMINATION OF TURN FAULTS IN INDUCTION MOTORS

Artificial Neural Network-Based Vibration Data Analysis to Predict Failures of Powder Machines

FEATURE EXTRACTION ENHANCEMENT BASED ON PARAMETERLESS EMPIRICAL WAVELET TRANSFORM: APPLICATION TO BEARING FAULT DIAGNOSIS