System Identification Methodology for Fault Detection and Isolation in Dynamic Systems.
Interim rept. 1 Jan 76-1 May 77,
SYSTEMS CONTROL INC PALO ALTO CALIF
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With the availability of inexpensive digital hardware, it has become practical to use advanced analytical techniques to achieve fault tolerance in dynamic systems without significant increase in redundant hardware. Certain analytical techniques based on one or more Kalman filters have been proposed in the past. To achieve the best falsemissed alarm probabilities, however, efficient techniques which extract all information from the data must be developed. This report first studies the conditions under which faults are detectable and distinguishable. It then outlines three major considerations in the development of fault detection approaches. These considerations are a statistical criteria, b system modeling requirements, and c computer architecture. System identification techniques are then specialized to fault detectionisolation applications. In particular, methods for trading-off modeling complexity, statistical optimality and computer architecture are discussed. Author
- Statistics and Probability
- Computer Programming and Software
- Manufacturing and Industrial Engineering and Control of Production Systems