Reconfigurability analysis for reliable fault-tolerant control design

Khelassi, Ahmed; Theilliol, Didier; Weber, Philippe

doi:10.2478/v10006-011-0032-z

Cited by 36 publications

(37 citation statements)

References 18 publications

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“…This is perhaps the great challenge of modern automation. In this field we can mention the works of Hongbin et al (2007) and Khelassi et al (2011).…”

Section: Bayesian Network and Fault Diagnosismentioning

confidence: 99%

Bayesian reliability models of Weibull systems: State of the art

Zaïdi

Bouamama

Tagina

2012

International Journal of Applied Mathematics and Computer Science

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In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the use of fault trees and reliability diagrams is not possible. To overcome this problem, Bayesian approaches offer a considerable efficiency in this context. This paper introduces recent contributions in the field of reliability modeling with the Bayesian network approach. Bayesian reliability models are applied to systems with Weibull distribution of failure. To achieve the formulation of the reliability model, Bayesian estimation of Weibull parameters and the model's goodness-of-fit are evoked. The advantages of this modelling approach are presented in the case of systems with an unknown reliability structure, those with a common cause of failures and redundant ones. Finally, we raise the issue of the use of BNs in the fault diagnosis area.

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“…This is perhaps the great challenge of modern automation. In this field we can mention the works of Hongbin et al (2007) and Khelassi et al (2011).…”

Section: Bayesian Network and Fault Diagnosismentioning

confidence: 99%

Bayesian reliability models of Weibull systems: State of the art

Zaïdi

Bouamama

Tagina

2012

International Journal of Applied Mathematics and Computer Science

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“…Over-actuated systems implies an actuator redundancy, this means that the number of control inputs is larger than the number of inputs necessary to satisfy the control objective. This characteristic allows several combinations of control inputs that produce the same desired output which provide the same system performance [9].…”

Section: Introductionmentioning

confidence: 99%

MPC Framework for System Reliability Optimization

Salazar

Weber

Nejjari

et al. 2015

Advances in Intelligent Systems and Computing

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Abstract. This paper presents a general framework that takes into account system and components reliability in a Model Predictive Control (MPC) algorithm. The objective is to deal from an availability point of view with a closed-loop system combining a deterministic part related to the system dynamics and a stochastic part related to the system reliability. The main contribution of this work consists in integrating the reliability assessment computed on-line using a Dynamic Bayesian Network (DBN) to compute the weights of the multiobjective cost function into the MPC algorithm. Also, a comparison between a method based on the components reliability (local approach) and a method focused on the system reliability sensitivity analysis (global approach) is considered. The effectiveness and benefits of the proposed control framework are shown by its application on a Drinking Water Network (DWN).

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“…Exponential distribution is frequently used in the examination of a proper performance time [1,16,18,19,21]. The characteristic for the exponential distribution is a constant intensity of damage throughout the whole period of the object exploitation λ(t) = const.…”

Section: Mathematical Model Of Exploitation Reliabilitymentioning

confidence: 99%

“…To model a situation for the needs of the survival analysis, when the probability changes in time, the Weibull distribution is most frequently used as a distribution of random variable of the time of the building's usefulness [1,[16][17][18][19][20][21]. The probability density function for the Weilbull distribution is determined with relation:…”

Section: Mathematical Model Of Exploitation Reliabilitymentioning

confidence: 99%

The Life Cycle of a Building as a Technical Object

Nowogońska

2016

Period. Polytech. Civil Eng.

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In solving problems associated with maintaining buildings in good condition, it is important to recognise the changes in op- IntroductionIn business planning of repairing the buildings one should determine the scope of works. There is no reliable mathematical models that allow the estimation of the operational reliability of a building, often referred to as changes in the building performance. In the case of technical appliances (mechanical and electronic) attempts are undertaken to determine the prediction of their operational reliability, but for buildings -only indicative graphs of changes in performance are presented. The method of behaving and changing the reliability of the building throughout its use will be useful in planning renovations.All appliances are built from parts. Similarly, each building consists of many components. These elements, which fulfil different functions, are made of dissimilar materials, each has different properties, and different durability periods. In order to determine building reliability it is divided into components which are analysed, first separately and then altogether in the entire building. In the process of predicting the reliability of both individual components of a building and a building as a whole, it may be initially assumed that the lifetime of a building is a 100-year time interval.To model a situation for the needs of the survival analysis, when the probability changes in time, the Weibull distribution is most frequently used as a distribution of random variable of the time of the building's usefulness. The probability of the exploitation of a building without any breakdowns in a given period of time is defined as exploitation reliability.

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Reconfigurability analysis for reliable fault-tolerant control design

Cited by 36 publications

References 18 publications

Bayesian reliability models of Weibull systems: State of the art

Bayesian reliability models of Weibull systems: State of the art

MPC Framework for System Reliability Optimization

The Life Cycle of a Building as a Technical Object

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