Using deep learning based approaches for bearing remaining useful life prediction

Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM

Volumn 2016-October, Issue , 2016, Pages 292-298

  Deutsch, Jason ^a   He, David ^a  

^a University of Illinois at Chicago   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; FORECASTING; SIGNAL PROCESSING; SYSTEMS ENGINEERING;

DATA-DRIVEN PROGNOSTICS; EXPLICIT MODELING; IMPORTANT FEATURES; LEARNING-BASED APPROACH; PRIOR KNOWLEDGE; REMAINING USEFUL LIFE PREDICTIONS; RUN TO FAILURES; SIGNAL PROCESSING TECHNIQUE;

BIG DATA;

EID: 85030250211     PISSN: 23250178     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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