System design optimization with mixed subsystems failure dependencies

Article Engineering, Multidisciplinary

Reliability allocation method of comprehensive weight computer numerical control machine tool based on failure correlation and factor correlation

Dongwei Gu et al.

Summary: This paper proposes a reliability allocation method considering the correlation between influence factors and subsystem failure in order to improve the reliability of CNC machine tools and reduce the difficulty of reliability design.

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2023)

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Article Engineering, Multidisciplinary

Reliability optimization of parallel-series and series-parallel systems with statistically dependent components

Jiandong Zhang et al.

Summary: This manuscript analyzes the impact of redundancy allocation policy and statistical dependence on the reliability of two different systems using a copula-based hierarchical dependent approach. It provides insights into the reliability of different strategies for these systems and offers guidance for practical redundancy allocation in scenarios with interdependent subsystems from statistically dependent components.

APPLIED MATHEMATICAL MODELLING (2022)

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Article Engineering, Industrial

Importance measure construction and solving algorithm oriented to the cost-constrained reliability optimization model

Mingli Liu et al.

Summary: This paper proposes a cost-constrained ROM-based importance measure (CRIM) that comprehensively considers the objective function and constraints, and develops a CRIM-based genetic algorithm (CRIGA) to solve the cost-constrained ROM. Experimental results show that CRIGA can achieve better solutions with faster convergence speed and better robustness compared to other optimization algorithms.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Computer Science, Hardware & Architecture

Multi-objective availability and cost optimization by PSO and COA for series-parallel systems with subsystems failure dependencies

Mohamed Arezki Mellal et al.

Summary: This paper addresses the multi-objective optimization problem of availability and cost for series-parallel systems with subsystems failure dependencies in case of strong dependency. The particle swarm optimization (PSO) algorithm and the cuckoo optimization algorithm (COA) are applied to solve the problem. The results show that COA outperformed PSO based on the system availability and cost, number of function evaluations, CPU time, and standard deviation values.

MICROPROCESSORS AND MICROSYSTEMS (2022)

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Article Engineering, Industrial

Evolutionary Optimization based Solution approaches for Many Objective Reliability-Redundancy Allocation Problem

Rahul Nath et al.

Summary: This paper presents a novel study of the reliability redundancy allocation problem (RRAP) as a many objective optimization problem, where a new procedure based on NSGA-III is proposed for solving MaORRAP. The performances of NSGA-III and other popular evolutionary algorithms in solving MaORRAP are compared and it is shown that NSGA-III based solutions are superior in most cases.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Industrial

An improved particle swarm optimization algorithm for the reliability-redundancy allocation problem with global reliability

Shuai Li et al.

Summary: This study proposes an algorithm for the redundancy allocation problem (RRAP) with global reliability, which takes into account the characteristics of complex modern network systems. An improved particle swarm optimization algorithm is developed and shown to outperform other meta-heuristic algorithms in solving the problem.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Industrial

A multi-objective model for optimizing the redundancy allocation, component supplier selection, and reliable activities for multi-state systems

Arash Zaretalab et al.

Summary: This paper presents a multi-objective availability-redundancy allocation optimization model for a hyper-system. Four multi-objective meta-heuristics are adapted to solve the proposed model, and the results show that the NSGA-III and the MOEA/D algorithms have superior performance.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Industrial

Reliability-redundancy allocation problem in multi-state flow network: Minimal cut-based approximation scheme

Hanxiao Zhang et al.

Summary: This paper studies the reliability-redundancy allocation problem in multi-state flow networks, considering the minimization of cost or the maximization of reliability under resource constraints. An approximation scheme based on minimal cut is proposed to transform the problem, and feasibility guarantee and posterior check are conducted to ensure the quality of the solution. Numerical experiments show the tradeoff between accuracy and computational complexity, and the outperformance of the proposed method compared to a meta-heuristic algorithm.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Energy & Fuels

Evolutionary shuffled frog leaping with memory pool for parameter optimization

Yun Liu et al.

Summary: The study introduces an efficient solver called SFLBS for extracting unknown parameters in photovoltaic systems. Experimental results demonstrate that SFLBS performs well in parameter extraction and evaluation of commercial PV modules, with satisfactory convergence speed.

ENERGY REPORTS (2021)

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Article Automation & Control Systems