Application of the Teager-Kaiser energy operator in bearing fault diagnosis

ISA Transactions

Volumn 52, Issue 2, 2013, Pages 278-284

  Henríquez Rodríguez, Patricia ^a   Alonso, Jesús B ^a   Ferrer, Miguel A ^a   Travieso, Carlos M ^a  

^a UNIVERSITY OF LAS PALMAS DE GRAN CANARIA   (Spain)

Author keywords

Feature selection; LS SVM; Neural networks; Teager Kaiser energy operator; Vibration fault diagnosis

Indexed keywords

CONDITION MONITORING; FAILURE ANALYSIS; FEATURE EXTRACTION; NEURAL NETWORKS;

BEARING FAULT DIAGNOSIS; BEARING VIBRATIONS; DIAGNOSIS TECHNIQUES; ENERGY OPERATORS; LS-SVM; NEURAL NETWORK CLASSIFIER; STATISTICAL MEASURES; VIBRATION FAULT DIAGNOSIS;

FAULT DETECTION;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; EQUIPMENT; EQUIPMENT FAILURE; NONLINEAR SYSTEM; ROTATION; SUPPORT VECTOR MACHINE; THEORETICAL MODEL; TRANSDUCER;

ALGORITHMS; COMPUTER SIMULATION; EQUIPMENT FAILURE ANALYSIS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; ROTATION; SUPPORT VECTOR MACHINES; TRANSDUCERS;

EID: 84875235613     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2012.12.006     Document Type: Article

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