Bayesian ART-based fuzzy inference system: A new approach to prognosis of machining processes

2011 IEEE International Conference on Prognostics and Health Management, PHM 2011 - Conference Proceedings

Volumn , Issue , 2011, Pages

  Oentaryo, Richard J ^a   Er, Meng Joo ^a   San, Linn ^a   Zhai, Lianyin ^a   Li, Xiang ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b SINGAPORE INSTITUTE OF MANUFACTURING TECHNOLOGY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE RESONANCE THEORY; CHAOTIC TIME SERIES PREDICTION; DECOUPLED EXTENDED KALMAN FILTERS; EXPERIMENTAL STUDIES; FUZZY INFERENCE SYSTEMS; HYBRID FUZZY NEURAL NETWORKS; LARGE DATA; LEARNING PROCEDURES; MACHINING DATA; MACHINING PROCESS; MANUFACTURING OPERATIONS; ONLINE LEARNING SCHEME; ONLINE MODELING; PARAMETER OPTIMIZATION; RULE BASE; TIME VARYING; TOOL WEAR;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL EFFICIENCY; FUZZY FILTERS; FUZZY INFERENCE; FUZZY SYSTEMS; INFERENCE ENGINES; MACHINING; MACHINING CENTERS; TIME SERIES;

FUZZY NEURAL NETWORKS;

EID: 80053645014     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPHM.2011.6024358     Document Type: Conference Paper

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