Contribution of belief functions to hidden Markov models with an application to fault diagnosis

Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009

Volumn , Issue , 2009, Pages

  Ramasso, Emmanuel ^a  

^a FEMTO ST INSTITUTE   (France)

Author keywords

Evidential hidden Markov models; Partially supervised learning; State sequence recognition; System's health assessment

Indexed keywords

BELIEF FUNCTION; DIAGNOSIS PROBLEM; FAULT DIAGNOSIS; HEALTH ASSESSMENTS; PARTIALLY SUPERVISED LEARNING; STATE SEQUENCES; SYSTEM'S HEALTH ASSESSMENT; TRANSFERABLE BELIEF MODEL;

FAILURE ANALYSIS; SIGNAL PROCESSING; SUPERVISED LEARNING; TECHNICAL PRESENTATIONS; UNCERTAINTY ANALYSIS;

HIDDEN MARKOV MODELS;

EID: 77950956451     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2009.5306209     Document Type: Conference Paper

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