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Article
Engineering, Industrial
Tao Liu et al.
Summary: This study incorporates the characteristics of self-organized and self-adaptive task execution of UAV swarms into resilience research. It proposes an efficient and resilient information exchange network model and simulates two resilient behaviors. Experimental evaluation demonstrates that the proposed model and method contribute to understanding the resilience process of UAV swarms and provide insights for selecting appropriate recovery strategies to support mission planning and enhance the resilience of UAV swarms.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Automation & Control Systems
Olakunle Alao et al.
Summary: The dynamic nature of competitive electricity markets often leads participants to resort to derivative financial instruments such as contract-for-difference (CFD) to hedge price risks. However, using CFDs introduces new risks. Blockchain-based derivative instruments show potential as suitable hedging tools for renewable generators. This article proposes a decentralized finance instrument, an Ethereum blockchain marketplace governed by a smart contract, to hedge the price risk of renewable generators through bilateral CFD arrangements, mitigating traditional risks with autonomous mechanisms.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Geosciences, Multidisciplinary
Hector Aroquipa et al.
Summary: This paper proposes a simplified methodological approach to estimate the feasibility of intervention campaigns directed to seismic retrofitting for building portfolios. The approach considers various variables and utilizes a probabilistic seismic risk assessment to analyze these factors. The profitability and feasibility are determined based on investment indicators such as Net Present Value, Internal Rate of Return, and Cost-Benefit ratio.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Energy & Fuels
Achim Kampker et al.
Summary: Fuel cell technology is a promising option for reducing global transportation carbon emissions, but the current costs are too high for widespread adoption. Researchers at RWTH Aachen University have developed a cost calculation model for Polymer Electrolyte Membrane (PEM) fuel cell systems and are exploring ways to reduce manufacturing costs through economies of scale. The study aims to present the results of cost modeling and identify areas for technical innovations that can lead to cost reductions through economies of scale. The research provides recommendations for strategic investments and highlights the need for further studies to lower costs through economies of scale in PEM fuel cell systems.
Article
Computer Science, Interdisciplinary Applications
Yan Wang et al.
Summary: This paper investigates a reliability model of consecutive k/n: F linear retrial system with two-phase repair and Bernoulli vacation. The system allows failure to occur to all non-failed components even when the system has already failed. Failed components join a retrial space and attempt repeated repairs if the repairman is not idle. The developed system model, treated as a Markov process, is analyzed using matrix analysis, state set analysis, and differential equation solving techniques. Various reliability indexes are derived and numerical experiments are conducted to study the effects of system parameters on performance indexes. Additionally, the system models with and without retrial or vacation are compared numerically based on a cost-benefit ratio. A relevant potential application is also provided to illustrate the proposed model.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Industrial
Fredy Kristjanpoller et al.
Summary: This article proposes a method to improve the service level, availability, and reliability of wind farms by oversizing the allocation of Wind Turbine Generators (WTG). Results show that this method can increase availability by 2.11%, reduce corrective maintenance costs by 18.48%, and decrease total differential costs by 1.44%. Furthermore, it suggests that load sharing perspective can reduce stress on WTGs, enabling higher service levels at reduced costs and better results for maintenance and asset management planning, thus improving efficiency and reliability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Mohammad N. Juybari et al.
Summary: The mixed redundancy strategy, a powerful technique to improve system reliability, is analyzed in a 1-out-of-n:G repairable system with warm-standby components for the first time. The system's behavior is modeled using a Markov chain approach and performance measures are derived. An age-dependent maintenance strategy is applied and a cost optimization problem is formulated to determine the optimal system replacement time. Numerical examples are presented to validate the method.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Hongyan Dui et al.
Summary: In this paper, a new model is developed to study the interaction between damage and maintenance in multi-state systems exposed to multiple shocks. The model measures the system's performance efficiency and budget surplus rate, which reflect the ability to recover from shocks and respond to losses. Markov processes are used to analyze the state transition process, and a case study of a nuclear power plant is conducted to demonstrate the proposed methods. Sensitivity analysis is also performed to evaluate the shock resistance and maintenance capability of the system.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Francesco Di Maio et al.
Summary: This paper addresses the problem of identifying the optimal performance parameters of safety barriers for mitigating consequences of NaTech accidental scenarios at reasonable cost. The Multi-Objective Optimization approach is applied to a case study of a chemical facility. The results suggest that improving the performance of four out of six barriers (three active and one passive) optimally manages the NaTech risk.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Deepan Jayaraman et al.
Summary: In structural applications, uncertainties are inevitable and have a significant impact on risk assessment. Probabilistic risk assessment (PRA) is used to determine the level of risk associated with complex systems. Bayesian inference and L-moments are proposed in this paper as an effective framework to analyze probabilistic risk. The proposed approach demonstrates better performance than traditional methods in the presence of limited data and extremes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Hongyan Dui et al.
Summary: This paper proposes two preventive maintenance strategies for industrial robot systems and introduces a preventive maintenance importance measure to determine the priority and optimal number of maintenance components. The feasibility of the proposed strategies is validated through a case study on a welding robot.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Ning Wang et al.
Summary: This study introduces a novel method for evaluating node importance, which can better measure attack costs. Additionally, an optimal attack strategy model with attack cost constraints is proposed to achieve higher attack effectiveness.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Liwei Chen et al.
Summary: As system components and their interactions become more complex, system reliability problems become prominent. This paper proposes new importance measures based on maintenance costs under different strategies and validates them through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Bizhao Pang et al.
Summary: This study develops a novel flight path optimization method that considers an integrated cost assessment model to mitigate the risks and impacts of UAV operations. The case study in a downtown area in Singapore demonstrates the effectiveness of the method in reducing risk costs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Xiaoyu Zheng et al.
Summary: Dynamic probabilistic risk assessment (PRA) is a method that explicitly deals with timing issues and stochastic elements of risk models. This study proposes a cost-effective dynamic PRA approach using multi-fidelity simulations, which improves the multi-fidelity importance sampling (MFIS) algorithm to generate efficient samples for nuclear reactor accident sequences. The approach combines high-fidelity and low-fidelity models for simulation and prediction, and estimates risk triplets by building density functions using biased distribution from interested predictions. The proposed approach has proven to be effective in risk assessment while significantly reducing computational cost.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Michele Compare et al.
Summary: This work proposes a general modelling approach to estimate the life cycle cost of a system equipped with PHM capabilities and undergoing a CBM policy. The approach is based on the Markov Chain framework and incorporates transition probabilities linked to PHM performance metrics and a novel metric. The model can guide economic decisions about CBM development regardless of the specific PHM algorithm, as long as its performance metrics can be estimated. The model is validated through a case study on a mechanical component affected by fatigue degradation, considering two different prognostic algorithms: Particle Filtering and a Model-Based approach.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Computer Science, Interdisciplinary Applications
Zhijiao Du et al.
Summary: Failure mode and effect analysis (FMEA) is a technique used in various industries to identify, mitigate, and eliminate failure risks. However, the traditional FMEA model has limitations in managing complex and uncertain environments. This study proposes a new FMEA model that combines minimum-cost conflict risk mitigation (MCCRM) and probabilistic linguistic information to reduce differences in individual risk assessments.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: This paper focuses on the reliability analysis and optimization of production systems with product storage. It models the expected mission cost and determines the optimal storage uploading time to minimize the cost. A case study demonstrates the advantages of using a storage system compared to a dual-production unit system.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Green & Sustainable Science & Technology
Oktoviano Gandhi et al.
Summary: This paper investigates the issue of overvoltage caused by high and continuously increasing photovoltaic penetration in distribution networks. It introduces a metric called PV levelised cost of integration (LCI) to assess the economic viability of different measures. The study finds that active-reactive power control (ARPC) is the most cost-effective measure for voltage mitigation, and emphasizes the importance of reducing battery energy storage (BES) cost in addressing the overvoltage issue.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Proceedings Paper
Automation & Control Systems
Mohamed-Larbi Rebaiaia et al.
Summary: This paper presents an opportunistic condition-based maintenance strategy for multi-component systems, which selects and maintains components based on importance measure concepts and integrates the results into a maintenance system's framework.
Article
Automation & Control Systems
Xiaodong Yang et al.
Summary: This paper proposes an optimal risk-averse configuration framework for hybrid energy storage system (HESS) in planning utility-scale photovoltaic (PV) plants using conditional generative adversarial networks (CGANs) for PV scenario generation. The method focuses on battery-supercapacitor sizing based on frequency to mitigate PV generation fluctuations, while employing data-driven frequency-based batteries optimization and conditional value-at-risk to hedge against uncertain PV resource risk exposure. Case studies are provided to verify the reasonableness and efficiency of the proposed method.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Chemical
Navid Hosseini et al.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2020)
Article
Engineering, Industrial
Gregory Levitin et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Automation & Control Systems
Chunjie Zhou et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2020)
Article
Engineering, Industrial
Tarannom Parhizkar et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Computer Science, Hardware & Architecture
Wencheng Huang et al.
IEEE TRANSACTIONS ON RELIABILITY
(2020)
Article
Automation & Control Systems
Hau-Ling Chan et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2020)
Article
Automation & Control Systems
Xin Wen et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2020)
Article
Engineering, Industrial
Hongyan Dui et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2019)
Article
Computer Science, Hardware & Architecture
Shubin Si et al.
IEEE TRANSACTIONS ON RELIABILITY
(2019)
Article
Automation & Control Systems
Yuxuan Zhao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2019)
Article
Endocrinology & Metabolism
Evelyn Walter et al.
Article
Management
Gregory Levitin et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2018)
Article
Computer Science, Hardware & Architecture
Hindolo George-Williams et al.
IEEE TRANSACTIONS ON RELIABILITY
(2018)
Article
Engineering, Industrial
Gregory Levitin et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2018)
Article
Engineering, Multidisciplinary
Peter Chemweno et al.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2017)
Article
Engineering, Industrial
Hongyan Dui et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2017)
Article
Automation & Control Systems
Zhenyu Guo et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2017)
Article
Engineering, Industrial
R. Rocchetta et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2015)
Article
Management
Shaomin Wu et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2013)
Article
Computer Science, Hardware & Architecture
Shubin Si et al.
IEEE TRANSACTIONS ON RELIABILITY
(2012)
