Fault detection using interval LPV models in an open-flow canal

Blesa, Joaquim; Puig, Vicenç; Bolea, Yolanda

doi:10.1016/j.conengprac.2010.01.002

Cited by 43 publications

(31 citation statements)

References 32 publications

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“…Then, as suggested in [36], the interval for the predicted output given by (7) can be expressed as follows:…”

Section: Fault Detection For Uncertain Varying Time Delay Systemsmentioning

confidence: 99%

“…Hence, the parameters to be calibrated are the parameter uncertainty sets Θ k given by λ i (k) for i = 1, ..., n θ and the delay uncertainty λ τ . The delay uncertainty λ τ can be determined considering the input process signal to be white noise and carrying out the study of the independence between the input and output process signals using confidence intervals (usually, 95% or 99%) as in [36].…”

Section: Model Calibration Using Parity Equationsmentioning

confidence: 99%

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An Interval NLPV Parity Equations Approach for Fault Detection and Isolation of a Wind Farm

Blesa

Jiménez

Rotondo

et al. 2014

IEEE Trans. Ind. Electron.

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Abstract-In this paper, the problem of fault diagnosis of a wind farm is addressed using interval nonlinear parameter varying (NLPV) parity equations. Fault detection is based on the use of parity equations assuming unknown but bounded description of the noise and modeling errors. The fault detection test is based on checking the consistency between the measurements and the model by finding if the formers are inside the interval prediction bounds. The fault isolation algorithm is based on analyzing the observed fault signatures on-line, and matching them with the theoretical ones obtained using structural analysis. Finally, the proposed approach is tested using the wind farm benchmark proposed in the context of the wind farm FDI/FTC competition.

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“…Then, as suggested in [36], the interval for the predicted output given by (7) can be expressed as follows:…”

Section: Fault Detection For Uncertain Varying Time Delay Systemsmentioning

confidence: 99%

Section: Model Calibration Using Parity Equationsmentioning

confidence: 99%

An Interval NLPV Parity Equations Approach for Fault Detection and Isolation of a Wind Farm

Blesa

Jiménez

Rotondo

et al. 2014

IEEE Trans. Ind. Electron.

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“…On the other hand, in order to cope with errors due to uncertainty in transport delays that are present in open-flow canal systems [18], following the ideas in [19], [20], the discrete residual has been computed as…”

Section: Fault Diagnosis In the Cfr Systemmentioning

confidence: 99%

Fault detection and isolation in flat navigation canals

Segovia

Rajaoarisoa

Duviella

et al. 2017

2017 4th International Conference on Control, Decision and Information Technologies (CoDIT)

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Abstract-Inland navigation networks are composed of several artificial canals that are characterized by no slope. These canals are particularly subject to resonance phenomena, which can create waves such that the navigation condition might not be guaranteed. It is therefore required to ensure dealing with freefault measured data and actuators. In this work, a fault detection and isolation method based on the Integrator Delay Zero model (IDZ) is designed for flat navigation canals. The proposed method is dedicated to the detection and isolation of sensor and actuator faults. Finally, it is tested by considering the Cuinchy-Fontinettes canal located in the north of France.

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“…In practice, process industries such as mining, chemBrought to you by | MIT Libraries Authenticated Download Date | 5/13/18 12:38 AM ical engineering, or water treatment processes are characterized by complex processes which often operate in multiple operating regimes (Blesa et al, 2010). It is often difficult to obtain nonlinear models that accurately describe plants in all regimes.…”

Section: Introductionmentioning

confidence: 99%

A multi-model approach to Saint-Venant equations: A stability study by LMIs

Martins

Rodrigues

2012

International Journal of Applied Mathematics and Computer Science

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This paper deals with the stability study of the nonlinear Saint-Venant Partial Differential Equation (PDE). The proposed approach is based on the multi-model concept which takes into account some Linear Time Invariant (LTI) models defined around a set of operating points. This method allows describing the dynamics of this nonlinear system in an infinite dimensional space over a wide operating range. A stability analysis of the nonlinear Saint-Venant PDE is proposed both by using Linear Matrix Inequalities (LMIs) and an Internal Model Boundary Control (IMBC) structure. The method is applied both in simulations and real experiments through a microchannel, illustrating thus the theoretical results developed in the paper.

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Fault detection using interval LPV models in an open-flow canal

Cited by 43 publications

References 32 publications

An Interval NLPV Parity Equations Approach for Fault Detection and Isolation of a Wind Farm

An Interval NLPV Parity Equations Approach for Fault Detection and Isolation of a Wind Farm

Fault detection and isolation in flat navigation canals

A multi-model approach to Saint-Venant equations: A stability study by LMIs

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