Deep convolutional neural network based regression approach for estimation of remaining useful life

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9642, Issue , 2016, Pages 214-228

  Babu, Giduthuri Sateesh ^a   Zhao, Peilin ^a   Li, Xiao Li ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Convolutional neural networks; Deep learning; Multivariate time series analysis; Prognostics; Regression methods; Remaining useful life; Supervised learning

Indexed keywords

ALGORITHMS; COMPUTER VISION; CONVOLUTION; DATABASE SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS; REGRESSION ANALYSIS; SPEECH RECOGNITION; SUPERVISED LEARNING; SYSTEMS ENGINEERING; TIME SERIES ANALYSIS;

CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; MULTIVARIATE TIME SERIES ANALYSIS; PROGNOSTICS; REGRESSION METHOD; REMAINING USEFUL LIVES;

COMPLEX NETWORKS;

EID: 84962468883     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-32025-0_14     Document Type: Conference Paper

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