Modelling and identification for fault diagnosis: A new paradigm

IEEE Conference on Control Applications - Proceedings

Volumn , Issue , 2001, Pages 236-241

  Doraiswami, R ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Diagnostic model; Fault diagnosis; Linear parameter varying system; Real time identification

Indexed keywords

DIFFERENTIATION (CALCULUS); FAULT TREE ANALYSIS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PARAMETER ESTIMATION; TRANSFER FUNCTIONS; UNCERTAIN SYSTEMS; VECTOR QUANTIZATION;

DATA VECTOR; DIAGNOSTIC MODEL; INPUT-OUTPUT DIFFERENCE EQUATION MODEL; LINEAR PARAMETER VARYING SYSTEM; MULTILINEARITY MATRIX; REAL TIME FAULT DIAGNOSIS;

CONTROL SYSTEM SYNTHESIS;

EID: 0035695183     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Fault diagnosis in dynamic systems using analytical and knowledge-base redundancy: A survey and new results
2. Analytical redundancy methods in fault detection and isolation-survey and synthesis
3. A review of parity space approaches to fault diagnosis
4. Process fault diagnosis based on process model knowledge, Part I and II
5. A robust influence matrix approach to fault diagnosis
6. Autonomous control systems: Monitoring, diagnosis and tuning
7. An identification scheme for control and fault diagnosis
8. Status monitoring in flexible manipulators
9. Design and evaluation of real time fault diagnosis of physical systems
10. Fault diagnosis using combined parametric and non-parametric approach
11. System identification: Theory for the user