An Experimental Study of Rotor Fault Detection Using Motor Current Signature Analysis Based on Neural Network

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...

Rotor Cage Fault Detection in Induction Motors by Motor Current Signature Analysis

Electric motors have revolutionized the way of human living and resulted in the modern life style. In every product that one consumes or uses today or in any service field that one benefits, it is for sure that there is an electric motor contributing to the production. These motors are playing important role in the industries called as horses of modern industry. Induction motors often operate i...

Gearbox Fault Detection by Motor Current Signature Analysis

In this paper the results of an experimental study on fault detection in a gearbox using motor current signature analysis is presented. Broken teeth and teeth wear have been artificially introduced in the gears as faults. Signal processing techniques like the multiresolution fourier transform (MFT) has been used for feature extraction from the current signals drawn by the induction motor drivin...

Fault Detection of Solenoid Valve Using Current Signature Analysis

Stator Turn-to-Turn Fault Detection of Induction Motor by Non-Invasive Method Using Generalized Regression Neural Network

Condition monitoring and protection methods based on the analysis of the machine's current are widely used according to non-invasive characteristics of current transformers. It should be noted that, these sensors are installed by default in the machine control center. On the other hand, condition monitoring based on mathematical methods has been proposed in literature. However, they are model b...