Continuous health condition monitoring: A single Hidden Semi-Markov Model approach

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

Volumn , Issue , 2011, Pages

  Geramifard, Omid ^a   Xu, Jian Xin ^a   Zhou, Jun Hong ^b   Li, Xiang ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SINGAPORE INSTITUTE OF MANUFACTURING TECHNOLOGY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIONAL FLEXIBILITIES; CNC-MILLING; CORE MODEL; CROSS VALIDATION; DATA SETS; DIAGNOSTICS AND PROGNOSTICS; FISHER DISCRIMINANT; FORCE SIGNAL; GENERALIZATION CAPABILITY; HIDDEN SEMI-MARKOV MODELS; HIDDEN STATE; MACHINERY SYSTEMS; PHYSICAL STATE; PREDICTION MODEL; STATISTICAL FEATURES; TOOL WEAR; VIBRATION SIGNAL; WAVELET COEFFICIENTS;

CONDITION MONITORING; FEATURE EXTRACTION; FORECASTING; HEALTH; MACHINERY; MATHEMATICAL MODELS; MODELS; NEURAL NETWORKS;

HIDDEN MARKOV MODELS;

EID: 80053627439     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPHM.2011.6024333     Document Type: Conference Paper

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