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Fault detection in large-scale stochastic dynamic systems

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3 Author(s)
Hassan, M.F. ; Electronics and Communication Department, Faculty of Engineering, Cairo University, Giza, Egypt ; Sultan, M.A. ; Attia, M.S.

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.

Published in:
Control Theory and Applications, IEE Proceedings D  (Volume:139 ,  Issue: 2 )

Date of Publication: March 1992

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