Optimization method of fault feature extraction of broken rotor bar in squirrel cage induction motors

2010 ◽  
Author(s):  
Xin Wang ◽  
Dongxia Zhang
Keyword(s):  
Feature Extraction ◽  
Induction Motors ◽  
Optimization Method ◽  
Broken Rotor Bar ◽  
Squirrel Cage ◽  
Fault Feature Extraction

scholarly journals Research on the Fault Feature Extraction Method of Rotor Systems Based on GAW-PSO

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Feng Miao ◽  
Rongzhen Zhao ◽  
Xianli Wang
Keyword(s):  
Feature Extraction ◽  
Optimization Method ◽  
Population Diversity ◽  
Blind Separation ◽  
Feature Extraction Method ◽  
Rotor Systems ◽  
The Difference ◽  
Dynamic Hybrid ◽  
Fault Feature Extraction ◽  
Better Than

In order to solve the problem of blind separation of signals from dynamic hybrid rotor systems, this paper proposed an improved adaptive inertial weight particle swarm optimization method based on genetic mechanism. The method takes the negative entropy of separated signal as the objective function and adaptively adjusts the inertia weight according to the difference of particle fitness, thus reducing the number of invalid iterations. At the same time, genetic hybridization mechanism was introduced to increase population diversity and facilitate the processing of dynamic mixed signals. The orthogonal matrix is expressed as a parameterized form, which can reduce the complexity of the algorithm. The simulation results showed that the performance of the proposed method is better than that of the traditional method for blind separation of dynamic hybrid analog mechanical signals. It can separate the actual dynamic rotor system signals and achieve the purpose of fault feature extraction.

Broken Rotor Bar Detection Using High Frequency Loss Calculation of Induction Motor

2014 ◽  
Vol 573 ◽  
pp. 728-733
Author(s):  
I. Kathir ◽  
S. Balakrishnan ◽  
B.V. Manikandan
Keyword(s):  
Flux Density ◽  
High Frequency ◽  
Induction Motors ◽  
Fault Identification ◽  
New Approach ◽  
Broken Rotor Bar ◽  
Finite Element Software ◽  
Loss Calculation ◽  
Squirrel Cage ◽  
Three Phase

This paper proposes a technique for the identification of defects of three-phase squirrel cage induction motors. Simulations were performed using ANSYS finite element software package to obtain the flux density waveform in the air gap. Broken rotor bar fault was simulated by breaking rotor bars to see how the flux density is affected. In this paper, a new approach for the identification of broken rotor bar based on the calculation of high-frequency losses in induction motors is presented. The approach presented in this paper requires little time for loss calculation and fault identification.

Sign in / Sign up

Export Citation Format

Share Document