Wavelet neural network aided on-line detection and diagnosis of rotating machine fault

Chinese Control and Decision Conference, 2008, CCDC 2008

Volumn , Issue , 2008, Pages 1868-1871

  Wei, Liao ^a,b   Pu, Han ^b  

^a HEBEI UNIVERSITY OF ENGINEERING   (China)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Aero engine; Fault diagnosis; Fractal theory; Neural network; Wavelet transform

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONTROL THEORY; FAILURE ANALYSIS; FAULT DETECTION; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; FRACTALS; NEURAL NETWORKS; PATTERN RECOGNITION; QUALITY ASSURANCE; RADIAL BASIS FUNCTION NETWORKS; RELIABILITY; ROBUST CONTROL; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL PROCESSING; STRUCTURAL OPTIMIZATION; VEGETATION; WAVELET TRANSFORMS;

AERO ENGINES; AERO-ENGINE; FAULT DIAGNOSIS; FAULT DIAGNOSIS MODEL; FAULT PATTERN RECOGNITION; FAULT SIGNALS; FRACTAL EXPONENTS; FRACTAL THEORY; FREQUENCY DOMAINS; LEVENBERG-MARQUARDT; MACHINE FAULTS; NETWORK STRUCTURES; NEURAL NETWORK; ON-LINE DETECTION; OPTIMIZATION TECHNIQUES; PARAMETER IDENTIFICATIONS; RADIAL-BASIS FUNCTION; WAVELET NETWORKS; WAVELET NEURAL NETWORK; WAVELET TRANSFORM; WAVELET TRANSFORM COEFFICIENTS;

ELECTRIC FAULT CURRENTS;

EID: 52349117239     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2008.4597647     Document Type: Conference Paper

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