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A method for composite fault detection and isolation using overlapping decomposition

Author(s): Quirino Rogério Bastos | Bottura Celso Pascoli

Journal: Sba: Controle & Automação Sociedade Brasileira de Automatica
ISSN 0103-1759

Volume: 14;
Issue: 3;
Start page: 245;
Date: 2003;
Original page

Keywords: fault detection | overlapping | Kalman filters | sensor failures | sensors

In this article, a method is developed for fault detection in linear, stochastic, interconnected dynamic systems, based on designing a set of partially decentralized Kalman filters for the subsystems resulting from the overlapping decomposition of the overall large scale system. The faulty sensors can be detected and isolated by comparing the estimated values of a single state from partially decoupled Kalman filters. The method is applied to an example system with two sensors.

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