Multiple fault detection and isolation based on Kalman filters
FU Fang-zhou
WANG Da-yi
LI Wen-bo
Abstract：Due to the lack of efficient approaches to locate multiple (two or more) faults, a new method based on a bank of Kalman filters to detect and isolate faults in sensors and actuators is considered in this paper. In the presented approach, Kalman filters are constructed corresponding to all the possible faults of sensors and actuators, and a set of structured residuals is given, each of which is sensitive to a fault and robust for the remaining faults in sensors or actuators. The theoretical analysis of the proposed approach is given. In addition, a simulation example is employed to show the advantage of the proposed approach in multiple fault detection and isolation.
Keywords：Kalman filtersmultiple faultunknown input Kalman filteradditive faultfault detection and isolation
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 586-593 )