Acoustic signature based intelligent health monitoring of air compressors with selected features

Proceedings of the 9th International Conference on Information Technology, ITNG 2012

Volumn , Issue , 2012, Pages 839-845

  Verma, Nishchal K ^a   Maini, Tarun ^b   Salour, Al ^c  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^b DR A P J ABDUL KALAM TECHNICAL UNIVERSITY   (India)

^c BOEING COMPANY   (United States)

Author keywords

Classification; Feature Selection Techniques; Features; GEMS; SVM

Indexed keywords

ACOUSTIC SIGNATURE; BHATTACHARYYA DISTANCE; CLASSIFICATION ACCURACY; COMPARATIVE PERFORMANCE ANALYSIS; DIMENSIONALITY REDUCTION; FEATURE SETS; FEATURES; HEALTH MONITORING; MUTUAL INFORMATIONS; SELECTION TECHNIQUES; SVM;

CLASSIFICATION (OF INFORMATION); GEMS; INDEPENDENT COMPONENT ANALYSIS; INFORMATION TECHNOLOGY; PRINCIPAL COMPONENT ANALYSIS;

FEATURE EXTRACTION;

EID: 84863892604     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITNG.2012.67     Document Type: Conference Paper

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