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学者姓名:彭锐
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Abstract :
Existing warranties are made by manufacturers subjectively and unilaterally with the aims of cutting costs, increasing sales volumes, and so on. However, they fail to meet users' individual needs such as effectively managing reliability or ensuring higher and stable production capacities. In response to this situation, the current paper puts forward random collaborative warranty models subject to mission cycles. In these models, manufacturers and users jointly set terms to fit users' actual needs. These warranties not only fulfill personalized needs but also function as value-added services, thus creating profit-making opportunities for manufacturers. Moreover, aiming to effectively manage the post-warranty reliability of systems, the paper devises post-warranty maintenance strategies such as trivariate random replacement with preventive maintenance and bivariate random combination replacement. The strategies' terms are based on different usage rate scenarios of the postwarranty system, which are determined by whether limited missions are completed before a specific time. The proposed solutions are modeled quantitatively, and numerical analyses are conducted on some typical aspects to uncover the underlying mechanisms and derive valuable insights. One notable finding is that users can achieve lower repair costs if they actively apply the two-scale approach following the 'whichever expires last' principle.
Keyword :
Post-warranty maintenance Post-warranty maintenance Mission cycles Mission cycles Reliability Reliability Collaborative warranty Collaborative warranty Usage rate scenarios Usage rate scenarios
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GB/T 7714 | Shang, Lijun , Liu, Baoliang , Peng, Rui . Designing random collaborative warranty and customizing maintenance strategies for systems subject to mission cycles [J]. | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2025 , 257 . |
MLA | Shang, Lijun 等. "Designing random collaborative warranty and customizing maintenance strategies for systems subject to mission cycles" . | RELIABILITY ENGINEERING & SYSTEM SAFETY 257 (2025) . |
APA | Shang, Lijun , Liu, Baoliang , Peng, Rui . Designing random collaborative warranty and customizing maintenance strategies for systems subject to mission cycles . | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2025 , 257 . |
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Low-carbon transformation pathways of the iron and steel industry play a significant role towards achieving the carbon neutrality target by 2060. This study explores the low-carbon transformation pathways of China's iron and steel industry in 2060 under different emission reduction policy scenarios by adopting a modified dynamic computable general equilibrium model. We found that: (1) China's crude steel production will peak in 2024-2026, with a value of approximately 10.49 x 102-11.11 x 102 Mt. (2) Four integrated policy scenarios (C1T1E2: carbon trading policy, carbon tax, and renewable energy policy; C1T6E2; C6T1E2; and C6T6E2) have the most potential to achieve the carbon neutrality target by 2060; their remaining CO2 emissions are 2.52 x 102, 1.99 x 102, 1.21 x 102 and 0.69 x 102 in 2060, respectively. (3) The projected CO2 emissions per ton steel from 2020 to 2060, of which the impact degree in the carbon trading market policy scenario shows the most difference, fluctuated from 0.81 t CO2/t under the C1 scenario to 0.42 t CO2/t under the C6 scenario in 2060. (4) The reduction degree of energy consumption per ton steel performed the best in the integrated policy scenarios, of which the integrated C6T6E2 scenario (82 kgce/t in 2060) had the most effect on energy consumption per ton steel, followed by C6T1E2 (101 kgce/t) and C1T6E2 (125 kgce/t).
Keyword :
Carbon neutrality target Carbon neutrality target Low-carbon transformation pathway Low-carbon transformation pathway IS industry IS industry CGE model CGE model
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GB/T 7714 | Liu, Xianmei , Li, Jialin , Bai, Caiquan et al. Optimum low-carbon transformation pathways of China's iron and steel industry towards carbon neutrality based on a dynamic CGE model [J]. | ENERGY , 2024 , 313 . |
MLA | Liu, Xianmei et al. "Optimum low-carbon transformation pathways of China's iron and steel industry towards carbon neutrality based on a dynamic CGE model" . | ENERGY 313 (2024) . |
APA | Liu, Xianmei , Li, Jialin , Bai, Caiquan , Peng, Rui , Chi, Yuanying , Liu, Yuxiang . Optimum low-carbon transformation pathways of China's iron and steel industry towards carbon neutrality based on a dynamic CGE model . | ENERGY , 2024 , 313 . |
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GB/T 7714 | Peng, Rui . Navigating the Complexities of Energy Economics and Sustainable Development: Insights from the Special Issue [J]. | ENERGIES , 2024 , 17 (20) . |
MLA | Peng, Rui . "Navigating the Complexities of Energy Economics and Sustainable Development: Insights from the Special Issue" . | ENERGIES 17 . 20 (2024) . |
APA | Peng, Rui . Navigating the Complexities of Energy Economics and Sustainable Development: Insights from the Special Issue . | ENERGIES , 2024 , 17 (20) . |
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Abstract :
Characteristics like mission cycle, failure number, and failure mode act as crucial metrics for evaluating the reliabilities of products subject to various failure modes. As a result, this study develops two distinct strategies to manage product reliabilities. The first strategy focuses on managing warranty-stage reliability and employs renewable-free replacements to enhance warranty appeal. Using either the criterion of "whichever occurs first" or "whichever occurs last", this strategy is called a three-dimensional random warranty-first-or-last approach with renewable-free replacement. The second strategy involves various replacements, providing comprehensive management of post-warranty reliability. The first approach within this second type of strategy is called the bivariate random periodic replacement-first-with-corrective-replacement method. The proposed warranty can identify reliability heterogeneities, which serves as the basis for adapting the second approach within the second type of strategy. Time and cost factors are used to quantify the proposed strategies. Numerical analyses are carried out focusing on key parameters.
Keyword :
Failure number Failure number reliability heterogeneities reliability heterogeneities three-dimensional random warranty three-dimensional random warranty random periodic replacement random periodic replacement
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GB/T 7714 | Shang, Lijun , Liu, Baoliang , Wang, Liying et al. Modeling random warranty and replacement strategies for products with two modes of failure and mission cycles [J]. | INTERNATIONAL JOURNAL OF GENERAL SYSTEMS , 2024 . |
MLA | Shang, Lijun et al. "Modeling random warranty and replacement strategies for products with two modes of failure and mission cycles" . | INTERNATIONAL JOURNAL OF GENERAL SYSTEMS (2024) . |
APA | Shang, Lijun , Liu, Baoliang , Wang, Liying , Peng, Rui . Modeling random warranty and replacement strategies for products with two modes of failure and mission cycles . | INTERNATIONAL JOURNAL OF GENERAL SYSTEMS , 2024 . |
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Under the influence of cascading failures, the failure of a small number of nodes or components may lead to the paralysis of the entire network system. Cascading failures have become one of the major bottlenecks constraining the long-term reliable operation of Internet of Things (IoT) systems, thus attracting extensive attention from researchers. To better understand the complex mechanisms of IoT cascading failures, diverse models and methods have been proposed. This paper systematically reviews the current research status of cascading failures in IoT, covering various aspects such as network objects, performance metrics, failure states, modeling methods, and network optimization. Additionally, we discuss the limitations in current research on cascading failures in IoT and point out the future research directions.
Keyword :
Modeling methods Modeling methods Cascading failures Cascading failures Network optimization Network optimization Reliability Reliability Internet of Things Internet of Things
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GB/T 7714 | Fu, Xiuwen , Zheng, Dingyi , Liu, Xiangwei et al. Systematic review and future perspectives on cascading failures in Internet of Things: Modeling and optimization [J]. | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2024 , 254 . |
MLA | Fu, Xiuwen et al. "Systematic review and future perspectives on cascading failures in Internet of Things: Modeling and optimization" . | RELIABILITY ENGINEERING & SYSTEM SAFETY 254 (2024) . |
APA | Fu, Xiuwen , Zheng, Dingyi , Liu, Xiangwei , Xing, Liudong , Peng, Rui . Systematic review and future perspectives on cascading failures in Internet of Things: Modeling and optimization . | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2024 , 254 . |
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The iron and steel industry (ISI), the second largest carbon emitter, produces 16% of China's CO2 emissions, and its decarbonization will therefore play an important role in achieving the goal of carbon neutrality. This study identifies underlying low-carbon transition pathways of the ISI towards 2050, through investigating macro-level mitigation policies and technological advances. An integrated assessment model that integrates a top-down CGE method and a bottom-up objective planning method was constructed. The results show that the combination of mitigation policies and technological measures would substantially reduce CO2 emissions in the ISI, with the remaining 140 Mt to 520 Mt by 2050. Carbon mitigation in ISI in the short term mainly benefits from the technology retrofitting, the reduction of steel demand, which accounts for 17.8 % and 32.1 %, respectively. Breakthrough technologies of scrap-based electric arc furnace (EAF), hydrogen-based direct reduction (HDREAF) and carbon capture and storge (CCS), would play a fundamental role in reducing the CO2 emissions especially after 2030, contributing to 32.1 %, 16.0 % and 13.8 % of emission reduction, respectively. Of the 41technologies assessed, 8-key technologies jointly mitigate over 55% of CO2 emissions. The cost-effectiveness and mitigation potential of technologies would provide reference to policymaker for the mitigation in China's ISI.
Keyword :
Decarbonization pathways Decarbonization pathways Carbon neutrality target Carbon neutrality target Iron and steel industry Iron and steel industry Breakthrough technologies Breakthrough technologies Integrated assessment model Integrated assessment model
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GB/T 7714 | Liu, Xianmei , Liu, Yuxiang , Bai, Caiquan et al. Pathways for decarbonizing China's iron and steel industry using cost-effective mitigation technologies: An integrated analysis with top-down and bottom-up models [J]. | RENEWABLE ENERGY , 2024 , 237 . |
MLA | Liu, Xianmei et al. "Pathways for decarbonizing China's iron and steel industry using cost-effective mitigation technologies: An integrated analysis with top-down and bottom-up models" . | RENEWABLE ENERGY 237 (2024) . |
APA | Liu, Xianmei , Liu, Yuxiang , Bai, Caiquan , Peng, Rui , Chi, Yuanying . Pathways for decarbonizing China's iron and steel industry using cost-effective mitigation technologies: An integrated analysis with top-down and bottom-up models . | RENEWABLE ENERGY , 2024 , 237 . |
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Cascading failures are a critical factor affecting the reliability of industrial Internet of things (IIoT) systems. Establishing a realistic cascading failure model is of significant importance for researching and improving the reliability of IIoT. However, existing research on cascading failure modeling for IIoT lacks in-depth exploration of the actual characteristics of industrial scenarios, making it difficult to accurately characterize the cascading failure process in IIoT. In this work, based on the cyber-service coupling characteristic of IIoT systems, we establish a realistic interdependent network model, taking into full consideration the sensing-control data flow, the service community structure, and the diverse coupling patterns. On this basis, a cascading failure model for IIoT is developed, considering the routing-driven characteristic of the cyber network and the production-supply relationships among various manufacturing units in the service network. Extensive experiments are conducted to verify the rationality of the proposed model, and some meaningful findings are also obtained.
Keyword :
Data models Data models reliability reliability industrial Internet of things (IIoT) industrial Internet of things (IIoT) interdependent network model interdependent network model Sensors Sensors Manufacturing Manufacturing Cascading failures Cascading failures Power system faults Power system faults load distribution load distribution Industrial Internet of Things Industrial Internet of Things Production Production Power system protection Power system protection
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GB/T 7714 | Zheng, Dingyi , Fu, Xiuwen , Liu, Xiangwei et al. Modeling and Analysis of Cascading Failures in Industrial Internet of Things Considering Sensing-Control Flow and Service Community [J]. | IEEE TRANSACTIONS ON RELIABILITY , 2024 . |
MLA | Zheng, Dingyi et al. "Modeling and Analysis of Cascading Failures in Industrial Internet of Things Considering Sensing-Control Flow and Service Community" . | IEEE TRANSACTIONS ON RELIABILITY (2024) . |
APA | Zheng, Dingyi , Fu, Xiuwen , Liu, Xiangwei , Xing, Liudong , Peng, Rui . Modeling and Analysis of Cascading Failures in Industrial Internet of Things Considering Sensing-Control Flow and Service Community . | IEEE TRANSACTIONS ON RELIABILITY , 2024 . |
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The parallel structure in the reliability engineering is widely used in many industrial systems such as power generation systems, pump systems, production systems and computing systems. Designing the optimal maintenance policies for these parallel systems can minimize the operation cost while achieving a satisfying system availability. Previous studies have studied various maintenance optimization for parallel systems. However, little research has considered the multiple failure modes that widely exist in many real industrial systems. This research considers a parallel system that consists of heterogeneous components subject to two types of competing failures: a one-stage catastrophic failure and a two-stage delay-time failure. Inspections are conducted periodically to identify the state of each component. Three maintenance policies are proposed in this research. To find the optimal inspection interval, we analyze the renewal process of the system to minimize the long-term expected cost per unit time. A simulation procedure is proposed to evaluate the long-term expected cost per unit time. Numerical experiments are carried out to illustrate the applications of the proposed maintenance policies. The discussion provides useful insights on choosing the best policy under different system performance requirements.
Keyword :
Parallel system Parallel system Delay-time concept Delay-time concept Multiple failure modes Multiple failure modes Maintenance Maintenance Inspection Inspection
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GB/T 7714 | Peng, Rui , He, Xiaofeng , Zhong, Chao et al. Preventive maintenance for heterogeneous parallel systems with two failure modes [J]. | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2022 , 220 . |
MLA | Peng, Rui et al. "Preventive maintenance for heterogeneous parallel systems with two failure modes" . | RELIABILITY ENGINEERING & SYSTEM SAFETY 220 (2022) . |
APA | Peng, Rui , He, Xiaofeng , Zhong, Chao , Kou, Gang , Xiao, Hui . Preventive maintenance for heterogeneous parallel systems with two failure modes . | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2022 , 220 . |
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Inspection is usually carried out periodically to update a system state such that the optimal maintenance policy can be determined. In order to obtain the best inspection and maintenance policy, existing research is focused on improving the modeling accuracy of the system failure process. Little work has been devoted to making full use of the system idle time, which is known as the production wait in production systems. In this research, the failure process of a single-unit system is modeled in three stages with consideration of its production wait time. The objective of minimizing the long-run average maintenance cost per unit time is achieved by finding the optimal length of the periodic inspection interval and renewal age for this single-unit system. By comparing this model with two two-stage inspection models, the numerical study of a real steelmaking converter confirms both the accuracy and effectiveness of the proposed inspection and maintenance model. Furthermore, the sensitivity analysis of different parameters is conducted to explore the optimal choice of maintenance strategy for different cost parameters and degradation parameters. The analysis provides useful management insights for decision-makers.
Keyword :
inspection inspection production wait production wait Maintenance engineering Maintenance engineering Delay-time concept Delay-time concept Degradation Degradation Inspection Inspection Sensitivity analysis Sensitivity analysis Costs Costs preventive maintenance (PM) preventive maintenance (PM) Numerical models Numerical models Production systems Production systems
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GB/T 7714 | Kou, Gang , Liu, Yaying , Xiao, Hui et al. Optimal Inspection Policy for a Three-Stage System Considering the Production Wait Time [J]. | IEEE TRANSACTIONS ON RELIABILITY , 2022 , 72 (3) : 934-949 . |
MLA | Kou, Gang et al. "Optimal Inspection Policy for a Three-Stage System Considering the Production Wait Time" . | IEEE TRANSACTIONS ON RELIABILITY 72 . 3 (2022) : 934-949 . |
APA | Kou, Gang , Liu, Yaying , Xiao, Hui , Peng, Rui . Optimal Inspection Policy for a Three-Stage System Considering the Production Wait Time . | IEEE TRANSACTIONS ON RELIABILITY , 2022 , 72 (3) , 934-949 . |
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With the emergence of the industrial internet of things, distributed data storage systems have become widely used to store the monitoring data of power generation systems. Malicious hackers often try to destroy or steal these confidential data by illegally invading the systems. In addition to hackers' illegal intrusions, the availability of the data stored is also affected by the internal failures of the system. In this research, two reliability models are formulated to study the reliability of a phased-mission distributed data storage system considering internal failures and illegal intrusion. The first model considers internal failures and data destruction, whereas the second model further considers data theft. Furthermore, the allocation of the data partitions is optimized so that system reliability can be maximized. Numerical experiments demonstrate the effectiveness of the proposed models and algorithms.
Keyword :
Buffer storage Buffer storage Computer hacking Computer hacking Computer security Computer security Reliability Reliability dynamic reliability assessment dynamic reliability assessment multistate system multistate system phased-mission system (PMS) phased-mission system (PMS) external impacts external impacts Data security Data security Computational modeling Computational modeling Numerical models Numerical models Distributed databases Distributed databases
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GB/T 7714 | Kou, Gang , Yi, Kunxiang , Xiao, Hui et al. Reliability of a Distributed Data Storage System Considering the External Impacts [J]. | IEEE TRANSACTIONS ON RELIABILITY , 2022 , 72 (1) : 3-14 . |
MLA | Kou, Gang et al. "Reliability of a Distributed Data Storage System Considering the External Impacts" . | IEEE TRANSACTIONS ON RELIABILITY 72 . 1 (2022) : 3-14 . |
APA | Kou, Gang , Yi, Kunxiang , Xiao, Hui , Peng, Rui . Reliability of a Distributed Data Storage System Considering the External Impacts . | IEEE TRANSACTIONS ON RELIABILITY , 2022 , 72 (1) , 3-14 . |
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