Fault Diagnosis Of A Water For Injection System Using Enhanced Structural Isolation

Laursen, Morten; Blanke, Mogens; Düştegör, Dilek

doi:10.2478/v10006-008-0052-5

Cited by 16 publications

(18 citation statements)

References 13 publications

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“…The presented approach offers a solution of the problem observed by Laursen et al (2008) that the diagnostic result can be wrong when steering in the corresponding operating region fails.…”

Section: Resultsmentioning

confidence: 99%

“…It is valid only in the operating region defined by (11). As the diagnosability properties of a dynamical system depend upon the system structure, they may change with the structure (Laursen et al, 2008). In the following section, an approach to construct tests using local system structures is presented.…”

Section: Local Structuresmentioning

confidence: 99%

“…Therefore, if the property (21) is satisfied, and if the relation v k (t) = 0 holds, one can be sure that the system is actually in the corresponding operating region. Similarly, in the work of Laursen et al (2008) it is assumed that the property (21) holds when steering a hybrid system in its discrete modes for fault isolation purposes.…”

Section: One Of the Faults In F ∩ Var(cmentioning

confidence: 99%

“…The combination of active diagnosis and structural methods was introduced by Laursen et al (2008) by investigating the isolability properties of hybrid systems in all their discrete operation modes. This method utilized the individual system structures that correspond to the different discrete modes of the hybrid system.…”

Section: Introductionmentioning

confidence: 99%

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Test signal generation for service diagnosis based on local structural properties

Ungermann¹,

Lunze²,

Schwarzmann³

2012

International Journal of Applied Mathematics and Computer Science

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The paper presents a new approach to the generation of test signals used in service diagnosis. The tests make it possible to isolate faults, which are isolable only if the system is brought into specific operating points. The basis for the test signal selection is a structure graph that represents the couplings among the external and internal signals of the system and the fault signals. Graph-theoretic methods are used to identify edges that disappear under certain operating conditions and prevent a fault from changing the system behavior at this operating point. These operating conditions are identified by validuals, which are indicators obtained during the graph-theoretic analysis. The test generation method is illustrated by a process engineering example.

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“…The presented approach offers a solution of the problem observed by Laursen et al (2008) that the diagnostic result can be wrong when steering in the corresponding operating region fails.…”

Section: Resultsmentioning

confidence: 99%

Section: Local Structuresmentioning

confidence: 99%

Section: One Of the Faults In F ∩ Var(cmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Test signal generation for service diagnosis based on local structural properties

Ungermann¹,

Lunze²,

Schwarzmann³

2012

International Journal of Applied Mathematics and Computer Science

View full text Add to dashboard Cite

show abstract

“…Some faults will not be isolable through this approach, but active fault isolation can help isolate faults by applying dedicated test signals to thrusters once a fault has been detected. Active fault diagnosis was analysed for Gaussian residuals by Poulsen and Niemann (2008), and the application on a water for injection system refers to Laursen et al (2008). The structural conditions were obtained by , and a detailed design and test on a position-moored tanker was presented by Nguyen and Blanke (2009) making use of active diagnosis.…”

mentioning

confidence: 99%

Fault monitoring and fault recovery control for position-moored vessels

Fang¹,

Blanke²

2011

International Journal of Applied Mathematics and Computer Science

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This paper addresses fault-tolerant control for position mooring of a shuttle or floating production storage and offloading vessels. A complete framework for fault diagnosis is presented. A loss of a sub-sea mooring line buoyancy element and line breakage are given particular attention, since such failures might cause high-risk abortion of an oil-loading operation. With significant drift forces from waves, non-Gaussian elements dominate forces and the residuals designed for fault diagnosis. Hypothesis testing is designed using dedicated change detection for the type of distribution encountered. A new position recovery algorithm is proposed as a means of fault accommodation in order to keep the mooring system in a safe state, despite faults. The position control is shown to be capable of accommodating serious failures and preventing breakage of a mooring line, or a loss of a buoyancy element, from causing subsequent failures. Properties of the detection and fault-tolerant control algorithms are demonstrated by high fidelity simulations.

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Fault diagnosis for electrical distribution systems using structural analysis

Knüppel

Blanke

Østergaard

2013

Intl J Robust & Nonlinear

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SUMMARY Fault tolerance in electrical distribution relies on the ability to diagnose possible faults and determine which components or units cause a problem or are close to doing so. Faults include defects in instrumentation, power generation, transformation and transmission. The focus of this paper is the design of efficient diagnostic algorithms, which is a prerequisite for fault‐tolerant control of power distribution. Diagnosis in a grid depends on available analytic redundancies and hence on network topology. When topology changes because of earlier fault(s) or caused by maintenance, analytic redundancy relations (ARR) are likely to change. The algorithms used for the diagnosis may need to change accordingly, and finding efficient methods to ARR generation is essential to employ fault‐tolerant methods in the grid. Structural analysis is based on graph‐theoretical results that offer to find analytic redundancies in large sets of equations only from the structure (topology) of the equations. A salient feature is an automated generation of redundancy relations. The method is indeed feasible in electrical networks, where circuit theory and network topology together formulate the constraints that define a structure graph. This paper shows how the three‐phase networks are modelled and analysed using structural methods, and it extends earlier results by showing how physical faults can be identified such that adequate remedial actions can be taken. The paper illustrates a feasible modelling technique for structural analysis of power systems, it demonstrates detection and isolation of failures in a network and shows how typical faults are diagnosed. Nonlinear fault simulations illustrate the results. Copyright © 2013 John Wiley & Sons, Ltd.

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Fault Diagnosis Of A Water For Injection System Using Enhanced Structural Isolation

Cited by 16 publications

References 13 publications

Test signal generation for service diagnosis based on local structural properties

Test signal generation for service diagnosis based on local structural properties

Fault monitoring and fault recovery control for position-moored vessels

Fault diagnosis for electrical distribution systems using structural analysis

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