Long Short-Term Memory Network for Remaining Useful Life estimation

2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017

Volumn , Issue , 2017, Pages 88-95

  Zheng, Shuai ^a   Ristovski, Kosta ^b   Farahat, Ahmed ^b   Gupta, Chetan ^b  

^a UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

^b HITACHI AMERICA LTD   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CONVOLUTION; HEALTH; HIDDEN MARKOV MODELS; LONG SHORT-TERM MEMORY; MARKOV PROCESSES; NEURAL NETWORKS; RECURRENT NEURAL NETWORKS; SYSTEMS ENGINEERING;

CONVOLUTIONAL NEURAL NETWORK; HIDDEN MARKOV MODELS (HMMS); LONG-TERM DEPENDENCIES; PROGNOSTICS AND HEALTH MANAGEMENTS; RECURRENT NEURAL NETWORK (RNNS); REMAINING USEFUL LIVES; SEQUENCE INFORMATIONS; TRADITIONAL APPROACHES;

INFORMATION MANAGEMENT;

EID: 85028562937     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPHM.2017.7998311     Document Type: Conference Paper

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