Open AccessInduction motor rotor bars faults diagnosis based on multiple features extraction and selection with self-organising map neural network
Author(s) -
Smail Haroun,
A. Nait Seghir,
Said Touati
Publication year - 2021
Publication title -
international journal of digital signals and smart systems
Language(s) - English
Resource type - Journals
eISSN - 2398-032X
pISSN - 2398-0311
DOI - 10.1504/ijdsss.2021.112795
Subject(s) - feature extraction , waveform , stator , pattern recognition (psychology) , robustness (evolution) , computer science , artificial intelligence , induction motor , artificial neural network , rotor (electric) , feature selection , envelope (radar) , squirrel cage rotor , engineering , mechanical engineering , chemistry , electrical engineering , voltage , telecommunications , radar , biochemistry , gene
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