A fault detection and isolation scheme for industrial systems based on multiple operating models

Rodrigues, Mickaël; Theilliol, Didier; Medina, Manuel Adam; Sauter, Dominique

doi:10.1016/j.conengprac.2006.02.020

Cited by 92 publications

(60 citation statements)

References 26 publications

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“…A solution satisfying the inequality (35) can b e found by using the LMI Toolbox. Then, these inequalities (35) are fulfilled with: are given by (14) to (14), (24), (28) and (29).…”

Section: State Estimationmentioning

confidence: 99%

“…The function F is a continuous and infinitely differentiable nonlinear function and E is a singular matrix with constant parameters and rank(E)=r < n. The dynamic behavior of this nonlinear system can b e characterized by a coupled Takagi-Sugeno [15] representation composed by several local linear models. So, based on Taylor series expansion of the smooth nonlinear functions around various operating points (xi, ui), the multi-models representation [14] of (1) is:…”

Section: Multi-models Singular Systemmentioning

confidence: 99%

See 1 more Smart Citation

State and Unknown Inputs Estimations for Multi-Models Descriptor Systems

Mechmeche¹,

Hamdi²,

Rodrigues³

et al. 2012

AJCAM

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In this note, the problem of states and unknown inputs estimation of nonlinear descriptor system is considered.The methodology is based on the use of Proportional Integral and Unknown Input Observers. The considered nonlinear descriptor system is transformed into an equivalent multi-models form by using the Takagi-Sugeno (T-S) approach. In this paper, the design methods of both proportional integral observers and unknown inputs observers for descriptor multi-models are described in detail. Sufficient conditions of stability analysis and gain matrices determination are performed by resolving a set of Linear Matrices Inequalities (LMIs). The design method offers all the degrees of design freedom, which can be utilized to achieve various desired system specifications and performances and, thus, has great potentials in applications. A numerical example is employed to show the design procedure of these two observers and illustrate the effect of the proposed approach.

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“…A solution satisfying the inequality (35) can b e found by using the LMI Toolbox. Then, these inequalities (35) are fulfilled with: are given by (14) to (14), (24), (28) and (29).…”

Section: State Estimationmentioning

confidence: 99%

Section: Multi-models Singular Systemmentioning

confidence: 99%

State and Unknown Inputs Estimations for Multi-Models Descriptor Systems

Mechmeche¹,

Hamdi²,

Rodrigues³

et al. 2012

AJCAM

View full text Add to dashboard Cite

show abstract

“…[1][2][3]. It was introduced as an efficient and powerful method to cope with modelling and control difficulties when complex non linear and/or uncertain processes are concerned.…”

Section: Introductionmentioning

confidence: 99%

A Multimodel Approach for Complex Systems Modeling based on Classification Algorithms

Elfelly

Dieulot

Benrejeb

et al. 2014

INT J COMPUT COMMUN

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In this paper, a new multimodel approach for complex systems modeling based on classification algorithms is presented. It requires firstly the determination of the model-base. For this, the number of models is selected via a neural network and a rival penalized competitive learning (RPCL), and the operating clusters are identified by using the fuzzy K-means algorithm. The obtained results are then exploited for the parametric identification of the models. The second step consists in validating the proposed model-base by using the adequate method of validity computation. Two examples are presented in this paper which show the efficiency of the proposed approach.

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“…In [2] the authors propose a fault detection and isolation scheme for industrial systems based on multiple operating model. Rosa and al.…”

Section: Introductionmentioning

confidence: 99%

Proposed Algorithm for Surveillance Applications

Benabbassi¹,

Haffaf²,

Pham³

2014

IJCATR

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Technological systems are vulnerable to faults. In many fault situations, the system operation has to be stopped to avoid damage to machinery and humans. As a consequence, the detection and the handling of faults play an increasing role in modern technology, where many highly automated components interact in a complex way such that a fault in a single component may cause the malfunction of the whole system. This work introduces the main ideas of fault diagnosis and fault-tolerant control under the optics of various research work done in this area. It presents the Arduino technology in both hardware and software sides. The purpose of this paper is to propose a diagnostic algorithm based on this technology. A case study is proposed for this setting. Moreover, we explained and discussed the result of our algorithm.

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A fault detection and isolation scheme for industrial systems based on multiple operating models

Cited by 92 publications

References 26 publications

State and Unknown Inputs Estimations for Multi-Models Descriptor Systems

State and Unknown Inputs Estimations for Multi-Models Descriptor Systems

A Multimodel Approach for Complex Systems Modeling based on Classification Algorithms

Proposed Algorithm for Surveillance Applications

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