Fault Prediction of Induction Motor Usingmachine Learning Algorithms
Author:
Affiliation:
1. K.Ramakrishnan College of Engineering,Trichy,India
2. Akshaya college of engineering and technology,Coimbatore,India
3. Sri Eshwar College of Engineering,Coimbatore,India
4. Dr.N.G.P.Institute of Technology,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10370004/10370033/10370087.pdf?arnumber=10370087
Reference11 articles.
1. Condition Checking Methods for Enlistment Engines;Liang,2017
2. Neural networks aided on-line diagnostics of induction motor rotor faults
3. An unaided, on-line framework for enlistment engine issue recognition utilizing stator current observing;Schoen;IEEE Trans. Industry Applications,1995
4. Unaided brain network -put together calculation for a with respect to line finding of three-stage acceptance engine stator issue;Martins;IEEE Trans. Modern Hardware,2007
5. Checking and conclusion of enlistment engines electrical flaws utilizing a flow Parks vector design learning approach;Nejjari;IEEE Trans. Industry Applications,2000
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