Subspace-based fault detection robust to changes in the noise covariances

Döhler, Michael; Mevel, Laurent

doi:10.1016/j.automatica.2013.06.019

Cited by 47 publications

(39 citation statements)

References 41 publications

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“…That is to say, the fault magnitude is a constant as shown in (2). However, this is not the case in most applications and tracing of a non abrupt fault is in demand.…”

Section: The Nonlinear Glr Versionmentioning

confidence: 93%

“…For example, the effective detection and diagnosis of the actuator fault and the sensor fault at their early stage is of great importance for the safety of the aircraft. The worldwide interest in the field of fault detection and isolation (FDI) are reflected in papers and applications, see [1], [2], [3] and references therein. Among different topics in FDI, detection of the incipient fault has attracted considerable attention and one of the most powerful tool to solve this problem is the so-called Generalized Likelihood Ratio (GLR) test proposed in [4].…”

Section: Introductionmentioning

confidence: 99%

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A nonlinear version of the generalized likelihood ratio test

Liu

Zhong

2014

Proceedings of the 33rd Chinese Control Conference

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In this paper, a new version of the generalized likelihood ratio (GLR) test is proposed to deal with the fault diagnosis problem in nonlinear systems. The unscented Kalman filter (UKF) is utilized for state estimation and innovation generation. The fault signatures used in the hypotheses test are pre-computed by running the fault model and the nominal model simultaneously based on the state estimations. In such a way the intolerable computational problem, which arise from applying a bank of nonlinear filters, is solved. Further more, the fault isolation problem as well as the fault estimation problem of the non-abrupt fault is discussed based on the nonlinear GLR approach. The simulation study of a longitudinal aircraft model is utilized to show the effectiveness of the proposed method.

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“…That is to say, the fault magnitude is a constant as shown in (2). However, this is not the case in most applications and tracing of a non abrupt fault is in demand.…”

Section: The Nonlinear Glr Versionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

A nonlinear version of the generalized likelihood ratio test

Liu

Zhong

2014

Proceedings of the 33rd Chinese Control Conference

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show abstract

“…This method was well reviewed in the early survey papers [3,9] and book [107]. Recent development of this approach can be found in [108][109][110].…”

Section: B Stochastic Fault Diagnosis Methodsmentioning

confidence: 99%

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

Gao

Cecati

Ding

2015

IEEE Trans. Ind. Electron.

2,399

937

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Northumbria University has developed Northumbria Research Link (NRL) to enable users to access the University's research output. Copyright © and moral rights for items on NRL are retained by the individual author(s) and/or other copyright owners. Single copies of full items can be reproduced, displayed or performed, and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided the authors, title and full bibliographic details are given, as well as a hyperlink and/or URL to the original metadata page. The content must not be changed in any way. Full items must not be sold commercially in any format or medium without formal permission of the copyright holder. The full policy is available online: http://nrl.northumbria.ac.uk/policies.html This document may differ from the final, published version of the research and has been made available online in accordance with publisher policies. To read and/or cite from the published version of the research, please visit the publisher's website (a subscription may be required.) IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS Abstract-With the ever increase of complexity and expense of industrial systems, there is less tolerance for performance degradation, productivity decrease and safety hazards, which greatly stimulates to detect and identify any kinds of potential abnormalities and faults as early as possible, and implement realtime fault-tolerant operation for minimizing performance degradation and avoiding dangerous situations. During the last four decades, fruitful results were reported about fault diagnosis and fault-tolerant control methods and their applications in a variety of engineering systems. The three-part survey paper aims to give a comprehensive review for real-time fault diagnosis and fault tolerant control with particular attention on the results reported in the last decade. In the first-part review, fault diagnosis approaches and their applications are reviewed comprehensively from model-based and signal-based perspectives, respectively.

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“…In order to detect if a damage has occurred in a structure, evaluation of these dynamic characteristics can be avoided by using statistical approaches, e.g. statistical subspace-based damage detection technique (SSDD) [1][2][3][4][5]. The damage can be detected by comparing a statistical model from the possibly damaged structure to the one obtained from a reference state.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Evaluation of Subspace-Based Damage Detection Method to Different Types of Damage

Allahdadian

Ventura

Andersen³

et al. 2015

Structural Health Monitoring and Damage Detection, Volume 7

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In this paper we investigate a damage detection technique based on the subspace method by applying it to an existing bridge structure model. A reference state of the structure is evaluated using this technique and subsequently its modal parameters are indirectly compared to the current state of the structure. There are no modal parameters estimated in this method. A subspacebased residual between the reference and possibly damaged states is defined independently from the input excitations employing a ߯ ଶ test and then is compared to a threshold corresponding to the reference state. This technique is applied to a model of the bridge structure located in Reibersdorf, Austria. The structure is excited randomly with white noise at different locations and the output data is generated at typical locations instrumented and measured in a bridge. Various damages are simulated in different elements and the sensitivity of the method to each type and ratio of damages is assessed. This evaluation is performed by comparing the prediction of the damage state using this technique and the simulated damage of the structure. It can be inferred from the results that in general the statistical subspace-based damage detection technique recognizes most of the damage cases, except the ones with insignificant change in the global dynamic behaviour.

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Subspace-based fault detection robust to changes in the noise covariances

Cited by 47 publications

References 41 publications

A nonlinear version of the generalized likelihood ratio test

A nonlinear version of the generalized likelihood ratio test

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

Sensitivity Evaluation of Subspace-Based Damage Detection Method to Different Types of Damage

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