Intelligent diagnosis method for rotating machinery using wavelet transform and ant colony optimization

IEEE Sensors Journal

Volumn 12, Issue 7, 2012, Pages 2474-2484

  Li, Ke ^a   Chen, Peng ^a   Wang, Huaqing ^b  

^a MIE UNIVERSITY   (Japan)

^b BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

Author keywords

Ant colony optimization; nondimensional symptom parameters; rotating machinery; wavelet transform

Indexed keywords

ANT COLONY OPTIMIZATION (ACO); CENTRIFUGAL FANS; CLUSTERING PROBLEMS; DECISION METHOD; FAULT TYPES; HIGH-ACCURACY; INTELLIGENT DIAGNOSIS METHODS; MACHINE STATE; NONDIMENSIONAL; OPTIMUM FREQUENCY; PLANT DATA; STATE IDENTIFICATION; STATISTICAL THEORY; SYMPTOM PARAMETERS; VIBRATION SIGNAL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CENTRIFUGATION; DATA HANDLING; ROTATING MACHINERY; WAVELET TRANSFORMS;

SIGNAL DETECTION;

EID: 84862002031     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2012.2191402     Document Type: Article

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