Performance monitoring and fault prediction using a linear predictive coding algorithm

Automatica

Volumn 29, Issue 4, 1993, Pages 1115-1120

  Doraiswami, R ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Artificial intelligence; failure detection; identification; supervisory control

Indexed keywords

ALGORITHMS; ENCODING (SYMBOLS); KNOWLEDGE BASED SYSTEMS; REAL TIME SYSTEMS; REGRESSION ANALYSIS;

ARMA MODEL; LINEAR PREDICTIVE CODING;

PREDICTIVE CONTROL SYSTEMS;

EID: 0027624665     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(93)90111-6     Document Type: Article

References (15)

1. An intelligent sensor to monitor stability performance and diagnose failures
2. Performance monitoring in expert systems
3. Real-time estimation of the parameters of power system small signal oscillations
4. An expert system for detection localization and correction of faults in a multi-loop launch vehicle guidance and control systems
5. Fault diagnosis in dynamic systems using analytical and knowledge-base redundancy—a survey and new results
6. Process fault diagnosis based on process model knowledge—Part I and Part II
7. Reliable hydraulic turbine governor based on identification and adaptive filtering
8. A novel structure of real-time expert control systems for process industry
9. Design of real-time knowledge-based controller with application in hydraulic turbine generator systems
10. Real-time performance monitoring based on ARMA model estimation
11. The singular value decomposition its computation and some applications
12. Estimating the parameters of exponentially damped sinusoids and pole-zero modelling in noise
13. Monitoring the condition of feedback control systems
14. Influence matrix approach to fault diagnosis of parameters in diagnostic systems
15. On computing the infinity norm