Intelligent Condition Based Monitoring Using Acoustic Signals for Air Compressors

IEEE Transactions on Reliability

Volumn 65, Issue 1, 2016, Pages 291-309

  Verma, Nishchal K ^a   Sevakula, Rahul Kumar ^a   Dixit, Sonal ^a   Salour, Al ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^b BOEING COMPANY   (United States)

Author keywords

Acoustic fault diagnosis; air compressor; fault diagnosis; feature extraction; feature selection

Indexed keywords

ACOUSTIC WAVES; CLASSIFICATION (OF INFORMATION); COMPRESSORS; DATA ACQUISITION; DATA MINING; FAILURE ANALYSIS; FAULT TOLERANT COMPUTER SYSTEMS; FEATURE EXTRACTION; RECIPROCATING COMPRESSORS; SIGNAL ANALYSIS;

BINARY CLASSIFIERS; CLASSIFICATION APPROACH; CONDITION-BASED MONITORING; DECOMPOSITION ALGORITHM; FAULT DIAGNOSIS SYSTEMS; INTELLIGENT FAULT DIAGNOSIS; REAL-TIME FAULT DIAGNOSIS; SELECTION TECHNIQUES;

FAULT DETECTION;

EID: 84938773392     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/TR.2015.2459684     Document Type: Article

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