A hierarchical deep neural network for fault diagnosis on Tennessee-Eastman process

Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015

Volumn , Issue , 2016, Pages 745-748

  Xie, Danfeng ^a   Bai, Li ^a  

^a Temple University   (United States)

Author keywords

Chemical engineering; Deep neural network; Fault diagnosis; Tennessee Eastman process

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHEMICAL ENGINEERING; FAILURE ANALYSIS; LEARNING SYSTEMS; NEURAL NETWORKS;

CONTROL AND MONITORING; DEEP NEURAL NETWORKS; HIERARCHICAL ARTIFICIAL NEURAL NETWORKS; SIMULATION MODEL; TENNESSEE EASTMAN PROCESS; TEST DATA;

FAULT DETECTION;

EID: 84969706199     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2015.208     Document Type: Conference Paper

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