Residual life prediction of rotating machines using acoustic noise signals

IEEE Transactions on Instrumentation and Measurement

Volumn 62, Issue 1, 2013, Pages 95-108

  Scanlon, Patricia ^a   Kavanagh, Darren F ^b   Boland, Francis M ^b  

^a LUCENT TECHNOLOGIES   (United States)

^b TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

Acoustic noise; acoustic signal processing; fault detection; feature extraction; frequency domain analysis; information theory; pattern recognition

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; CONDITION MONITORING; FATIGUE OF MATERIALS; FAULT DETECTION; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; INDUSTRIAL APPLICATIONS; INFORMATION THEORY; MODULATION; PATTERN RECOGNITION; ROTATING MACHINERY;

ACOUSTIC SIGNALS; CHRONOLOGICAL ORDER; DATA SAMPLE; DEFECT DETECTION; DEFECT FREQUENCY; DIMENSIONALITY REDUCTION; ENVELOPE ANALYSIS; FEATURE SUBSET SELECTION; HIGH DIMENSIONALITY; INFORMATION-THEORETIC APPROACH; MICROPHONE SENSORS; MISCLASSIFICATION ANALYSIS; NON-CONTACT; REMAINING USEFUL LIVES; RESIDUAL LIFE PREDICTION; RIGOROUS APPROACH; ROTATING MACHINE; SPECTRAL COMPONENTS; SYSTEM ERRORS; VIBRATION SIGNAL;

ACOUSTIC NOISE;

EID: 84871024138     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2012.2212508     Document Type: Article

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