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Fault detection method based on bounded error and dynamic threshold techniques
Author(s) -
Suárez Fábrega Antonio J.,
Bravo Caro Jose Manuel,
Abad Herrera Pedro J.,
Santos Diego Marín
Publication year - 2016
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2558
Subject(s) - residual , bounded function , fault detection and isolation , computer science , signal (programming language) , algorithm , control theory (sociology) , work (physics) , mathematics , engineering , artificial intelligence , mechanical engineering , mathematical analysis , control (management) , actuator , programming language
Summary This work presents a new fault detection method applicable to dynamic systems. This method is based on historic system input–output data and on the so‐called residual signal. At each discrete time instant, the detection system checks history to locally approximate the dynamics of the faultless system and thus, obtain a prediction of the system output to calculate the residual. Likewise, the maximum threshold allowed by this residual is obtained by applying bounded‐error techniques. The main contribution of this paper is the expression that allows this threshold to be obtained. Detection is based on checking whether the residual exceeds the maximum threshold determined by the method. Copyright © 2015 John Wiley & Sons, Ltd.