Reliability Allocation Procedures in Complex Redundant Systems

Catelani, Marcantonio; Ciani, Lorenzo; Patrizi, Gabriele; Venzi, Matteo

doi:10.1109/jsyst.2017.2651161

Cited by 29 publications

(8 citation statements)

References 18 publications

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“…Many reliability prediction handbooks [20] [21] and reliability allocation methods [22] have incorrectly assumed that this region dominates the hazard rate trends of electronics; however, this assumption has also been proven to be incorrect [23] [24] [25].…”

Section: The Bathtub Model and Terminologymentioning

confidence: 99%

An Assessment of Validity of the Bathtub Model Hazard Rate Trends in Electronics

et al. 2021

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The bathtub model has often been cited as a hazard rate profile that predicts not only human mortality but also the hazard rate of manufactured products. This paper examines the inapplicability of the bathtub model to predict the hazard rate of electronic components, products, and systems. The paper reviews various literature and uses numerous experiments and field failure data to support its argument. The factors affecting the hazard rate of electronics are then discussed, common hazard rate trends for electronics are identified, and recommendations for the assessment of hazard rates are given. This paper recommends that a preconceived model of hazard rate over time should not be used.

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Section: The Bathtub Model and Terminologymentioning

confidence: 99%

An Assessment of Validity of the Bathtub Model Hazard Rate Trends in Electronics

et al. 2021

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“…One existing approach combines one or several criteria in different combination ways for obtaining an allocation weight and allocating reliability in proportion of the weight [4]. For example, the Advisory Group on Reliability of Electronic Equipment (AGREE) method combines complexity into allocation weight [5], and the Aeronautical Radio Inc. (ARINC) method considers failure rate as allocation weight [6]. Another conventional reliability allocation method focuses on multiobjective optimization , including cost minimization [7] and redundancy allocation [8].…”

Section: Allocation Techniquesmentioning

confidence: 99%

Reliability-based Design of Network Structure Systems Using the Monte-Carlo Method

Moshnikov

2020

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2

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“…Reliability allocation is an effective and essential approach to ensure the product reliability at design stage. Traditionally, the unconstrained allocation method such as method based risk priority number (RPN), 1 feasible of objective (FOO), 2 and advisory group on reliability of electronic equipment (AGREE), 3 is generally applied in engineering. Nevertheless, the accuracy and validity of such approaches depend on expert's subjectivity.…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of product reliability using novel multi-population particle swarm optimization algorithm

Zhang

Ran

Zhang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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Reliability optimal allocation is a critical method in engineering and operation fields to improve and ensure product quality. However, conventional model generally uses the single objective with research and development (R & D) cost or product reliability. Moreover, the popular particle swarm optimization (PSO) algorithm solving the model has insufficient global search ability. In this paper, a novel reliability optimal allocation method is developed based on double-objective model and multi-population PSO (MPPSO) algorithm. The cost function is established considering all the cost related to reliability using analytical hierarchical process (AHP) and ordered weighted averaging (OWA) operator. Multi-population particle swarm optimization algorithm is developed based on information exchange mechanism among subpopulations. In the algorithm, the inertia weight is optimized by chaotic map, and different mutation operations are carried out on the subpopulations. An illustrative example, which implements to computer numerical control (CNC) grinding machine, is presented to illustrate the practicality and application of the proposed method. Finally, the comparison and analysis are implemented to show the advantage of proposed model and MPPSO algorithm.

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Reliability Allocation Procedures in Complex Redundant Systems

Cited by 29 publications

References 18 publications

An Assessment of Validity of the Bathtub Model Hazard Rate Trends in Electronics

An Assessment of Validity of the Bathtub Model Hazard Rate Trends in Electronics

Reliability-based Design of Network Structure Systems Using the Monte-Carlo Method

Optimal allocation of product reliability using novel multi-population particle swarm optimization algorithm

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