Reliability of multi-states system with load sharing and propagation failure dependence

Maatouk, Imane; Châtelet, Éric; Chebbo, Nazir

doi:10.1109/icqr2mse.2011.5976565

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…In the shared-load model, redundant components share the workload equally, and when one or more components fail, the remaining components must handle an increased workload [42]. The failure rate of load-sharing components can be time-dependent and nonlinearly reduced, as demonstrated in [43]. To evaluate the dependability of phasedmission systems with load-sharing components, Mohammed et al [44] proposed an efficient iterative algorithm that utilized a modularization approach for subsystems with a recursive reliability formula across phases.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Fault Recovery and Repair for Automated Manufacturing Cells with Load-Sharing Redundant Elements Using Petri Nets

et al. 2023

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Failure of resource in automated manufacturing systems could cause a complete system shutdown. This paper addresses the issue of unreliable resource failure in manufacturing cells through the use of load-sharing redundant resources (LSRRs). The aim is to use more than one type of a failure-prone resource to share tasks between a failure-prone resource, called a target resource, and reliable ones called load-sharing redundant resources (LSRRs). Both an unreliable resource and its LSRR perform the same tasks, and there is normally a system that assigns tasks to them. If the target resource fails, all the tasks will be performed by the LSRRs. After the faulty target resource is fixed and restored, its assigned tasks are automatically returned to it. This way the system can continue to produce or process parts. Thus, a total system shutdown due to unreliable resource failures is eliminated. The proposed method is tested using real examples. The results, compared with those obtained by the studies in the literature, show that the proposed method has an outstanding performance and outperforms some of the existing studies.

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Section: Introductionmentioning

confidence: 99%

Modeling of Fault Recovery and Repair for Automated Manufacturing Cells with Load-Sharing Redundant Elements Using Petri Nets

et al. 2023

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“…Load balancing is to ensure that every element on the system does approximately the same amount of work at any point. Reference [6] studied the reliability evaluation of MSS with dynamic load distribution. The element loading vary with the failure of other components.…”

Section: Introductionmentioning

confidence: 99%

Availability maximization and cost study in multi-state systems

Maatouk

Châtelet

Chebbo³

2013

2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)

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The paper presents a method for determining an optimal loading in series-parallel systems. The optimal loading is aimed at achieving the greatest possible expected system availability subject to required demand constraint. Then the corresponding system cost is deduced. We consider that system cost is a combination of downtime cost (loss of productivity), and repair cost (supposed proportional to repair time). The former is affected by a penalty value which reflects the importance of downtime cost with respect to repair cost. The model takes into account the relationship between the element failure rate and its corresponding load (element capacity). The universal generating function model is used to assess the performance distribution of the entire system and the system availability (knowing the probability of each performance level). Then, the unavailability and the repair time are estimated in order to study the system cost. The optimization is done for different values of required demand. The effect of required demand on the system availability and system cost is studied. The optimization technique is based on the genetic algorithm in order to determine the optimal load distribution. An illustrative example is presented.

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“…Load balancing is to ensure that every element on the system does approximately the same amount of work at any point. Reference [6] studied the reliability evaluation of Multi-state system with dynamic load distribution. The element loading vary with the failure of other components.…”

Section: Introductionmentioning

confidence: 99%

Cost minimization of maintained multi-state system using optimal load distribution

Maatouk

Châtelet

Chebbo

2012

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

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This paper presents a method for determining a minimal cost of a multi-state system subject to a corrective maintenance. The minimal cost is achieved by finding an optimal load distribution from a sequence of possible combinations. The cost considered is a combination of downtime cost (loss of productivity) and repair cost. The former is affected by a penalty value. The element failure rate depends on its current load. The universal generating function is used to evaluate the performance distribution of the entire system. Then, the unavailability and the repair time are estimated in order to obtain the objective function. The objective function is minimized using genetic algorithm. An illustrative example is presented. The effect of penalty value is studied.

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Reliability of multi-states system with load sharing and propagation failure dependence

Cited by 9 publications

References 5 publications

Modeling of Fault Recovery and Repair for Automated Manufacturing Cells with Load-Sharing Redundant Elements Using Petri Nets

Modeling of Fault Recovery and Repair for Automated Manufacturing Cells with Load-Sharing Redundant Elements Using Petri Nets

Availability maximization and cost study in multi-state systems

Cost minimization of maintained multi-state system using optimal load distribution

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