Fault diagnosis using balance equations methods and the algorithmic redundancy approach

M. Ghetie; H. Noura; M. Saif

Fault diagnosis using balance equations methods and the algorithmic redundancy approach

M. Ghetie, H. Noura, M. Saif

Research output: Contribution to journal › Conference article › peer-review

Abstract

The fault diagnosis method presented in this paper represents the main part of a hierarchical decision support system (DSS) which was developed in the framework offered by the EUREKA MAINE EU996 DIALOGS project. The method illustrates the algorithmic redundancy concept using in parallel two FDI methods based on balance equations. The first method uses standardized unbalanced residuals for fault detection, and structural analysis for fault isolation. The second method uses standardized least-squares residuals for fault detection and isolation.

Original language	English
Pages (from-to)	586-591
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	1
Publication status	Published - 1998
Externally published	Yes
Event	Proceedings of the 1998 37th IEEE Conference on Decision and Control (CDC) - Tampa, FL, USA Duration: Dec 16 1998 → Dec 18 1998

ASJC Scopus subject areas

Control and Systems Engineering
Modelling and Simulation
Control and Optimization

Cite this

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title = "Fault diagnosis using balance equations methods and the algorithmic redundancy approach",

abstract = "The fault diagnosis method presented in this paper represents the main part of a hierarchical decision support system (DSS) which was developed in the framework offered by the EUREKA MAINE EU996 DIALOGS project. The method illustrates the algorithmic redundancy concept using in parallel two FDI methods based on balance equations. The first method uses standardized unbalanced residuals for fault detection, and structural analysis for fault isolation. The second method uses standardized least-squares residuals for fault detection and isolation.",

author = "M. Ghetie and H. Noura and M. Saif",

year = "1998",

language = "English",

volume = "1",

pages = "586--591",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1998 37th IEEE Conference on Decision and Control (CDC) ; Conference date: 16-12-1998 Through 18-12-1998",

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T1 - Fault diagnosis using balance equations methods and the algorithmic redundancy approach

AU - Ghetie, M.

AU - Noura, H.

AU - Saif, M.

PY - 1998

Y1 - 1998

N2 - The fault diagnosis method presented in this paper represents the main part of a hierarchical decision support system (DSS) which was developed in the framework offered by the EUREKA MAINE EU996 DIALOGS project. The method illustrates the algorithmic redundancy concept using in parallel two FDI methods based on balance equations. The first method uses standardized unbalanced residuals for fault detection, and structural analysis for fault isolation. The second method uses standardized least-squares residuals for fault detection and isolation.

AB - The fault diagnosis method presented in this paper represents the main part of a hierarchical decision support system (DSS) which was developed in the framework offered by the EUREKA MAINE EU996 DIALOGS project. The method illustrates the algorithmic redundancy concept using in parallel two FDI methods based on balance equations. The first method uses standardized unbalanced residuals for fault detection, and structural analysis for fault isolation. The second method uses standardized least-squares residuals for fault detection and isolation.

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M3 - Conference article

AN - SCOPUS:0032256411

SN - 0191-2216

VL - 1

SP - 586

EP - 591

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - Proceedings of the 1998 37th IEEE Conference on Decision and Control (CDC)

Y2 - 16 December 1998 through 18 December 1998

ER -

Fault diagnosis using balance equations methods and the algorithmic redundancy approach

Abstract

ASJC Scopus subject areas

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