Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models - Seera, Manjeevan; Lim, Chee Peng; Nahavandi, Saeid; Loo, Chu Kiong (Expert systems with applications, 2014)
Keywords: A.c. Machines; Applied sciences; Artificial intelligence; Benchmarking; Computer science; control theory; systems; Condition monitoring; Connectionism. Neural networks; Electrical engineering. Electrical power engineering; Electrical machines; Exact sciences and technology; Expert systems; Fuzzy Min–Max neural network; Hybrid systems; Induction motor; Induction motors; Industrial metrology. Testing; Learning; Learning and adaptive systems; Mechanical engineering. Machine design; Motor Current Signature Analysis; Random Forest; Tasks; Voting; Condition monitoring; Induction motor; Motor Current Signature Analysis; Fuzzy Min–Max neural network; Random Forest; Input signal; Asynchronous motor; Decision tree; Modeling; Fuzzy neural nets; Aggregate model; Induction method; Ac motor; Classification; Random Neural Network; Hybrid model; Electric motor; Electric current; Monitoring; Stator; Regression analysis; Radiofrequency; Random decision forests; Classification and Regression Tree; Experimental result; Induction machine; Minimax method; Non invasive method; Fuzzy Min―Max neural network; Signature analysis; Artificial intelligence