Stator Fault Diagnosis of Induction Motor Based on Discrete Wavelet Analysis and Neural Network Technique
Author:
Affiliation:
1. C.V Raman Global University,Electrical Engineering Department,Bhubaneswar,India,752054
2. C.V Raman Global University,Electronics and Communication Engineering Department,Bhubaneswar,India,752054
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7873788/10093776/10093781.pdf?arnumber=10093781
Reference30 articles.
1. Vibration signal analysis using parameterized time–frequency method for features extraction of varying-speed rotary machinery
2. FPGA-Based Online Detection of Multiple Combined Faults in Induction Motors Through Information Entropy and Fuzzy Inference
3. Fault Diagnosis System for Induction Motors by CNN Using Empirical Wavelet Transform
4. Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines
5. Fault Diagnosis in Industrial Induction Machines Through Discrete Wavelet Transform
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