Ensemble based real-time adaptive classification system for intelligent sensing machine diagnostics

IEEE Transactions on Reliability

Volumn 61, Issue 2, 2012, Pages 303-313

  Nguyen, Minh Nhut ^a   Bao, Chunyu ^a   Tew, Kar Leong ^b   Teddy, Sintiani Dewi ^a   Li, Xiao Li ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b SAP Research Centre   (Singapore)

Author keywords

Adaptive classifiers; classifiers; data driven diagnostics and prognostics; ensemble learning; sensor data classification

Indexed keywords

ADAPTIVE CLASSIFICATION; ADAPTIVE CLASSIFIERS; DATA LOGGING; DIAGNOSTICS AND PROGNOSTICS; ENSEMBLE LEARNING; FEATURE REPRESENTATION; HEALTH MONITORING SYSTEM; INTELLIGENT SENSING; LEARNING METHODS; LIFE SPAN; LIMITED TRAINING DATA; MACHINE DIAGNOSTICS; MANUFACTURING INDUSTRIES; NETWORK BANDWIDTH; NETWORK TRAFFIC; REAL-WORLD APPLICATION; SAMPLING FREQUENCIES; SAMPLING RATES; SENSOR DATA; SYSTEM HEALTH MONITORING; TRAINING DATA; VARIABLE SAMPLING RATES;

CLASSIFIERS; DATA TRANSFER; SENSOR NODES; SENSORS; SYSTEMS ENGINEERING;

CLASSIFICATION (OF INFORMATION);

EID: 84861891375     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/TR.2012.2194352     Document Type: Article

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