Application of ANN in Induction-Motor Fault-Detection System Established with MRA and CFFS

Optimal Rotor Fault Detection in Induction Motor Using Particle-Swarm Optimization Optimized Neural Network

This study examined and presents an effective method for detection of failure of conductor bars in the winding of rotor of induction motor in low load conditions using neural networks of radial-base functions. The proposed method used Hilbert method to obtain the stator current signal push. The frequency and signal amplitude of the push stator were used as the input of the neural network and th...

Mechanical fault detection in induction motor drives through stator current monitoring - Theory and application examples

Bearing Fault Detection in Induction Motor Using Fast Fourier Transform

ABSTACT: In the present scenario every industry need Condition Based Monitoring System to avoid unwanted faults in the process components. Vibration condition monitoring technique is widely used for fault detection. Vibration monitoring is the most reliable method of assessing the overall health of a motor system. In this paper we work on 2 Hp inductions motor. Ball bearing fault is widely occu...

Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system

A health index, Mahalanobis distance (MD), is proposed to indicate the health condition of cooling fan and induction motor based on vibration signal. Anomaly detection and fault classification are accomplished by comparing MDs, which are calculated based on the feature data set extracted from the vibration signals under normal and abnormal conditions. Since MD is a non-negative and non-Gaussian...

Novel Wavelet ANN Technique to Classify Interturn Fault in Three Phase Induction Motor

Early detection of faults in stator winding of induction motor is crucial for reliable and economical operation of induction motor in industries. Whereas major winding faults can be easily identified from supply currents, minor faults involving less than 5 % of turns are not readily discernible. The present contribution reports experimental results for monitoring of minor short circuit faults i...