Subspace method aided data-driven design of fault detection and isolation systems

Journal of Process Control

Volumn 19, Issue 9, 2009, Pages 1496-1510

  Ding, S X ^a   Zhang, P ^d   Naik, A ^a   Ding, E L ^b   Huang, B ^c  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

^b WESTPHALIAN UNIVERSITY OF APPLIED SCIENCES   (Germany)

^c UNIVERSITY OF ALBERTA   (Canada)

^d BASF SE   (Germany)

Author keywords

Fault detection and isolation; Observer based FDI systems; Parity space methods; Subspace methods; Tennessee Eastman challenge process

Indexed keywords

BASIC IDEA; DATA-DRIVEN DESIGN; FAULT DETECTION AND ISOLATION; PARITY SPACES; PROCESS MODEL; RESIDUAL GENERATOR; SENSOR AND ACTUATORS; SIMULATION STUDIES; SOFT SENSORS; SUB-SPACE METHODS; TENNESSEE EASTMAN CHALLENGE; TENNESSEE EASTMAN PROCESS; TEST DATA;

DESIGN; SENSORS; SIMULATORS;

FAULT DETECTION;

EID: 72149132838     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2009.07.005     Document Type: Article

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