Flight test results for the F-8 digital fly-by-wire aircraft control sensor analytic redundancy management technique

Deckert, J. C.

doi:10.2514/6.1981-1796

Cited by 5 publications

(12 citation statements)

References 3 publications

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“…The initial impetus for this approach came from the work reported in Deckert et al (1977) and Deckert (1981), in the context of aircraft failure detection. The noteworthy feature of that project was that the dynamics of the aircraft were decomposed in order to analyze the relative reliability of each individual source of potentially useful failure detection information.…”

Section: Introductionmentioning

confidence: 99%

“…In Chow and Willsky (1984) the results of initial attempts to extract the essence of the method used in Deckert et al (1977) and Deckert (1981) were presented in order to develop a general approach to robust failure detection. As discussed in those references and in others (Lou, 1982;Hall, 1981;Potter and Suman, 19771, all failure detection systems are based on exploiting analytical redundancy relations or (generalized) parity checks.…”

Section: Introductionmentioning

confidence: 99%

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Optimally robust redundancy relations for failure detection in uncertain systems

Lou¹,

Willsky²,

Verghese³

1986

Automatica

332

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A geometric interpretation of the concept of analytical redundancy leads to computationally simple procedures, involving singular value decompositions, Jor determining redundancy relations that are maximally insensitive to model uncertainties.Key Words--Failure detection; robustness; model reduction; least-squares approximation; linear systems.Al~traet--All failure detection methods are based, either explicitly or implicitly, on the use of redundancy, i.e. on (possibly dynamic) relations among the measured variables. The robustness of the failure detection process consequently depends to a great degree on the reliability of the redundancy relations, which in turn is affected by the inevitable presence of model uncertainties. In this paper the problem of determining redundancy relations that are optimally robust is addressed in a sense that includes several major issues of importance in practical failure detection and that provides a significant amount of intuition concerning the geometry of robust failure detection. A procedure is given involving the construction of a single matrix and its singular value decomposition for the determination of a complete sequence of redundancy relations, ordered in terms of their level of robustness. This procedure also provides the basis for comparing levels of robustness in redundancy provided by different sets of sensors.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimally robust redundancy relations for failure detection in uncertain systems

Lou¹,

Willsky²,

Verghese³

1986

Automatica

332

View full text Add to dashboard Cite

show abstract

“…[5,13]. The advantage of such an approach is that it allows one to separate the information provided by redundancy relations of differing levels of reliability, something that is not easily done when one starts with the overall model (2.1), (2.2) which combines all redundancy relations.…”

Section: Redundancy Relationsmentioning

confidence: 99%

“…The initial impetus for our approach to this problem came from the work reported in [5,13] which document the first and to date by far most successful application and flight testing of a failure detection algorithm based on advanced methods which use analytic redundancy. The singular feature of that project was that the dynamics of the aircraft were decomposed in order to analyze the relative reliability of each individual source of potentially useful failure detection information.…”

Section: Introductionmentioning

confidence: 99%

“…In [2] we presented the results of our initial attempt to extract the essence of the method used in [5,13] in order to develop a general approach to robust failure detection. As discussed in that reference and in others (such as [3,[7][8][9]), all failure detection systems are based on exploiting analytical redundancy relations or (generalized) parity checks.…”

Section: Introductionmentioning

confidence: 99%

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Redundancy relations and robust failure detection

Chow

Lou

Verghese

et al.

Detection of Abrupt Changes in Signals and Dynamical Systems

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All failure detection methods are based on the use of redundancy, that is on (possible dynamic) relations among the measured variables.Consequently the robustness of the failure detection process depends to a great degree on the reliability of the redundancy relations given the inevitable presence of model uncertainties.In this paper we address the problem of determining redundancy relations which are optimally robust in a sense which includes the major issues of importance in practical failure detection and which provides us with a significant amount of intuition concerning the geometry of robust failure detection.

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Optimally Robust Redundancy Relations for Failure Detection in Uncertain Systems

Lou¹,

Willsky²,

Verghese³

1985

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All failure detection methods are based, either explicitly or implicitly, on the use of redundancy, i.e. on (possibly dynamic) relations among the measured variables. The robustness of the failure detection process consequently depends to a great degree on the reliability of the redundancy relations, which in turn is affected by the inevitable presence of model uncertainties.In this paper we address the problem of determining redundancy relations that are optimally robust, in a sense that includes several major issues .of importance in practical failure detection, and that provides a significant amount of intuition concerning the geometry of robust failure detection. We also give a procedure, involving the construction of a single matrix and its singular value decomposition, for the determination of a complete sequence of redundancy relations, ordered in terms of their level of robustness. This procedure also provides the basis for comparing levels of robustness in redundancy provided by different sets of sensors.

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Flight test results for the F-8 digital fly-by-wire aircraft control sensor analytic redundancy management technique

Cited by 5 publications

References 3 publications

Optimally robust redundancy relations for failure detection in uncertain systems

Optimally robust redundancy relations for failure detection in uncertain systems

Redundancy relations and robust failure detection

Optimally Robust Redundancy Relations for Failure Detection in Uncertain Systems

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