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CLC number: TB114.3; O224; O211.6

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Received: 2007-02-13

Revision Accepted: 2007-06-17

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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.9 P.1443~1451


Performance of the geometric approach to fault detection and isolation in SISO, MISO, SIMO and MIMO systems


Affiliation(s):  Mechanical Engineering Department, University of Tabriz, Tabriz 5166614766, Iran; more

Corresponding email(s):   nrahimi@ihu.ac.ir

Key Words:  Fault detection and isolation (FDI), Multivariate systems, Parametric system identification, Linear regression, Distance functions

RAHIMI N., SADEGHI M. H., MAHJOOB M. J.. Performance of the geometric approach to fault detection and isolation in SISO, MISO, SIMO and MIMO systems[J]. Journal of Zhejiang University Science A, 2007, 8(9): 1443~1451.

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J0 - Journal of Zhejiang University Science A
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DOI - 10.1631/jzus.2007.A1443

In this paper, a geometric approach to fault detection and isolation (FDI) is applied to a Multiple-Input Multiple-Output (MIMO) model of a frame and the FDI results are compared to the ones obtained in the Single-Input Single-Output (SISO), Multiple-Input Single-Output (MISO), and Single-Input Multiple-Output (SIMO) cases. A proper distance function based on parameters obtained from parametric system identification method is used in the geometric approach. ARX (Auto Regressive with eXogenous input) and VARX (Vector ARX) models with 12 parameters are used in all of the above-mentioned models. The obtained results reveal that by increasing the number of inputs, the classification errors reduce, even in the case of applying only one of the inputs in the computations. Furthermore, increasing the number of measured outputs in the FDI scheme results in decreasing classification errors. Also, it is shown that by using probabilistic space in the distance function, fault diagnosis scheme has better performance in comparison with the deterministic one.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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