Title :
Fault detection in large-scale stochastic dynamic systems
Author :
Hassan, M. Fadzil ; Sultan, M. Arafat ; Attia, M.S.
Author_Institution :
Dept. of Electron. & Commun., Cairo Univ., Giza, Egypt
fDate :
3/1/1992 12:00:00 AM
Abstract :
A new approach is developed for fault detection in linear stochastic interconnected dynamic systems, based on designing a set of decentralised Kalman filters for the subsystems resulting from overlapping decomposition of the overall large-scale system. The malfunctioning sensors can be detected and isolated by comparing the estimated values of a single state from different Kalman filters. The new method is applied to a sixth-order system represented by a ladder network.
Keywords :
Kalman filters; State estimation; fault location; large-scale systems; linear systems; power systems; reliability; state estimation; stochastic systems; decentralised Kalman filters; fault detection; ladder network; linear stochastic interconnected dynamic systems; malfunctioning sensors; overlapping decomposition; reliability; sixth-order system; state estimation;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
