Detection of induction motor faults: Through fuzzy logic and frequency analysis
Author:
Affiliation:
1. Kolkata University of Engineering & Management, Kolkata,Institute of Engineering & Management,Electronics & Communication Engineering Dept,Kolkata,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10423305/10423394/10423483.pdf?arnumber=10423483
Reference8 articles.
1. Fault diagnosis of squirrel-cage induction motor broken bars based on a model identification method with subtractive clustering
2. Diagnosis of rotor fault using neuro-fuzzy inference system
3. Motor current signature analysis and its applications in induction motor fault diagnosis;Mehala;International journal of systems applications, engineering & development,2007
4. Challenges in the industrial applications of fault diagnostic systems
5. Motor current signature analysis based Fault diagnosis of induction motor;Kathiravan;International Journal of Power Control and Computation(IJPCSC),2014
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