Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results

Journal of Process Control

Volumn 24, Issue 2, 2014, Pages 431-449

  Ding, S X ^a  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

Data driven methods; Observer based methods; Parity space; Process monitoring and fault diagnosis; Subspace identification methods

Indexed keywords

DESIGN; FAILURE ANALYSIS; FAULT DETECTION; FINITE DIFFERENCE METHOD; PROCESS CONTROL; PROCESS MONITORING; REAL TIME SYSTEMS;

DATA-DRIVEN DESIGN; DATA-DRIVEN METHODS; DYNAMIC PROCESS; MONITORING AND DIAGNOSIS; OBSERVER-BASED; PARITY SPACES; SUBSPACE IDENTIFICATION METHODS; SUBSPACE TECHNIQUES;

MONITORING;

EID: 84897108321     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2013.08.011     Document Type: Article

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