Decentralized fault detection and diagnosis via sparse PCA based decomposition and Maximum Entropy decision fusion

Journal of Process Control

Volumn 22, Issue 4, 2012, Pages 738-750

  Grbovic, Mihajlo ^a   Li, Weichang ^b   Xu, Peng ^b   Usadi, Adam K ^b   Song, Limin ^b   Vucetic, Slobodan ^a  

^a Temple University   (United States)

^b EXXONMOBIL UPSTREAM RESEARCH COMPANY   (United States)

Author keywords

Decentralized process monitoring; Decision fusion; Fault detection; Fault diagnosis

Indexed keywords

CENTRALIZED APPROACHES; DECENTRALIZED APPROACH; DECENTRALIZED FAULT DETECTION; DECISION FUSION; EMPIRICAL STUDIES; IN-PROCESS MONITORING; LOCAL PREDICTION; MAXIMUM ENTROPY; SPARSE PRINCIPAL COMPONENT ANALYSIS; TENNESSEE EASTMAN PROCESS;

ALGORITHMS; FAILURE ANALYSIS; FAULT TOLERANCE; FORECASTING; PRINCIPAL COMPONENT ANALYSIS; PROCESS MONITORING; REUSABILITY; SENSOR NETWORKS;

FAULT DETECTION;

EID: 84862791006     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2012.02.003     Document Type: Article

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