Multi-sensor health diagnosis using Deep Belief Network based state classification

Proceedings of the ASME Design Engineering Technical Conference

Volumn 4, Issue PARTS A AND B, 2011, Pages 749-758

  Tamilselvan, Prasanna ^a   Wang, Pingfeng ^a   Youn, Byeng D ^b  

^a Wichita State University   (United States)

^b Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION METHODS; CLASSIFICATION MODELS; COMPLEX ENGINEERED SYSTEMS; DATA SETS; DEEP BELIEF NETWORKS; FAST INFERENCE; HEALTH DIAGNOSIS; HIERARCHICAL STRUCTURES; HIGHER ORDER NETWORKS; LAYER BY LAYER; MULTI SENSOR; OPERATION AND MAINTENANCE; REDUCED COST; RESTRICTED BOLTZMANN MACHINE; SENSORY DATA; STATE CLASSIFICATION; SUCCESSIVE LEARNING; TRAINING AND TESTING;

BAYESIAN NETWORKS; DESIGN; HEALTH; LEARNING SYSTEMS; SENSORS; STATISTICAL TESTS;

CLASSIFICATION (OF INFORMATION);

EID: 84863569708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/DETC2011-48352     Document Type: Conference Paper

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