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学者姓名：彭锐
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Abstract ：
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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Abstract ：
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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Abstract ：
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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Abstract ：
As the world's largest coal consumer, China's coal consumption in 2021 was 2934.4 million tons of standard coal. Thermal coal occupies an important position in the coal market and industry system, as an important raw material in the power industry, steel industry and other industries. The price of thermal coal in 2021 was at its highest level in a decade, and reached a historical level of about 2587.5 yuan per ton in October 2021. In the same month, the government intervened in the thermal coal price, which fell 51.9% by the end of the year under the influence of the policy. In previous studies, there has been little research on thermal coal and the impact of the variable "policy" on the thermal coal price. Thus, this paper analyzed the factors that affect the price fluctuation of thermal coal, and the impact of economic policy uncertainty on the thermal coal price. The cointegration test and forecast-error variance decomposition (FEVD) are adopted in this study. Our results show that the impact of policy uncertainty on the thermal coal price gradually increases over time, but the impact of policy uncertainty on price is negative and not as strong as expected. On the contrary, inventory and other energy prices have a greater positive impact on the price of thermal coal. The results of this study are of significance for the prediction of thermal coal prices in the future.
Keyword ：
variance decomposition variance decomposition cointegration test cointegration test thermal coal price thermal coal price
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| GB/T 7714 | Zhu, Shiqiu , Chi, Yuanying , Gao, Kaiye et al. Analysis of Influencing Factors of Thermal Coal Price [J]. | ENERGIES , 2022 , 15 (15) . |
| MLA | Zhu, Shiqiu et al. "Analysis of Influencing Factors of Thermal Coal Price" . | ENERGIES 15 . 15 (2022) . |
| APA | Zhu, Shiqiu , Chi, Yuanying , Gao, Kaiye , Chen, Yahui , Peng, Rui . Analysis of Influencing Factors of Thermal Coal Price . | ENERGIES , 2022 , 15 (15) . |
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Abstract ：
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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Abstract ：
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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Abstract ：
In this paper, we consider a repairable circular consecutive-k-out-of-n: F retrial system, which can be used to simulate the intelligent closed recurring water cooling automation system in industrial production. We assume that the working time and retrial time of each component obey exponential distributions, and the repair time obeys a general distribution. Based on the generalized transition probability and the key component priority repair rule of the retrial system, the availability and reliability indices of the general repairable circular consecutive-k-out-of-n: F retrial system are derived by using the methods of supplementary variable and Laplace transform. Furthermore, we calculate the explicit expressions of the above indices when n and k are fixed at definite values in the system. The repair time is assumed to follow a Weibull distribution in examples demonstration, and the influence of various parameters on system reliability, steady-state availability and other indices are obtained. The sensitivity and relative sensitivity analysis of the steady-state availability, steady-state failure frequency and mean time to first failure (MTTFF) of the system are also performed.
Keyword ：
Retrial Retrial Supplementary variable method Supplementary variable method Generalized transition probability Generalized transition probability Consecutive-k-out-of-n: F system Consecutive-k-out-of-n: F system Sensitivity analysis Sensitivity analysis
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| GB/T 7714 | Li, Mingjia , Hu, Linmin , Peng, Rui et al. Reliability modeling for repairable circular consecutive-k-out-of-n: F systems with retrial feature [J]. | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2021 , 216 . |
| MLA | Li, Mingjia et al. "Reliability modeling for repairable circular consecutive-k-out-of-n: F systems with retrial feature" . | RELIABILITY ENGINEERING & SYSTEM SAFETY 216 (2021) . |
| APA | Li, Mingjia , Hu, Linmin , Peng, Rui , Bai, Zhuoxin . Reliability modeling for repairable circular consecutive-k-out-of-n: F systems with retrial feature . | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2021 , 216 . |
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Abstract ：
Clean and renewable energy is developing to realize the sustainable utilization of energy and the harmonious development of the economy and society. Microgrids are a key technique for applying clean and renewable energy. The operation optimization of microgrids has become an important research field. This paper reviews the developments in the operation optimization of microgrids. We first summarize the system structure and provide a typical system structure, which includes an energy generation system, an energy distribution system, an energy storage system and energy end users. Then, we summarize the optimization framework for microgrid operation, which contains the optimization objective, decision variables and constraints. Next, we systematically review the optimization algorithms for microgrid operations, of which genetic algorithms and simulated annealing algorithms are the most commonly used. Lastly, a literature bibliometric analysis is provided; the results show that the operation optimization of microgrids has received increasing attention in recent years, and developing countries have shown more interest in this field than developed countries have. Finally, we highlight future research challenges for the optimization of the operation of microgrids.
Keyword ：
optimization optimization microgrid operation microgrid operation algorithm algorithm literature bibliometric literature bibliometric system structure system structure
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| GB/T 7714 | Gao, Kaiye , Wang, Tianshi , Han, Chenjing et al. A Review of Optimization of Microgrid Operation [J]. | ENERGIES , 2021 , 14 (10) . |
| MLA | Gao, Kaiye et al. "A Review of Optimization of Microgrid Operation" . | ENERGIES 14 . 10 (2021) . |
| APA | Gao, Kaiye , Wang, Tianshi , Han, Chenjing , Xie, Jinhao , Ma, Ye , Peng, Rui . A Review of Optimization of Microgrid Operation . | ENERGIES , 2021 , 14 (10) . |
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Abstract ：
In stochastic networks, nodes usually function dependently and interact with other nodes through connectivity links or dependency links. In this paper, the model for stochastic networks considering sub-networks with connectivity and dependency links of Erdos-Renyi (ER) topology is proposed, which is defined as networks with arbitrary pair of nodes randomly connected/depended by a constant probability. The reliability evaluation framework for the proposed networks is developed, where both of the extended multi-valued decision diagram (MDD) method and Monte Carlo simulation (MCS) are involved. The MDD method is proposed to assess the reliability of deterministic stochastic networks with ER connectivity and dependency, where arbitrary time to failure distributions of nodes are allowed. Based on the reliability evaluation for a stochastic network with a deterministic structure, the MCS is employed to achieve the reliability analysis of corresponding stochastic networks. Numerical examples are presented to demonstrate the proposed stochastic network model and reliability evaluation framework, where the probability distributions for the reliability of stochastic networks are provided.
Keyword ：
dependency dependency Monte Carlo simulation Monte Carlo simulation Reliability assessment Reliability assessment stochastic networks stochastic networks multi-valued decision diagram multi-valued decision diagram
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| GB/T 7714 | Jia, Heping , Peng, Rui , Liu, Dunnan et al. Reliability assessment of stochastic networks with ER connectivity and ER dependency [J]. | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY , 2021 , 235 (6) : 1154-1165 . |
| MLA | Jia, Heping et al. "Reliability assessment of stochastic networks with ER connectivity and ER dependency" . | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY 235 . 6 (2021) : 1154-1165 . |
| APA | Jia, Heping , Peng, Rui , Liu, Dunnan , Li, Yanbin , Ding, Yi . Reliability assessment of stochastic networks with ER connectivity and ER dependency . | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY , 2021 , 235 (6) , 1154-1165 . |
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Abstract ：
In practical engineering, the presence of dependent evidence is not rare due to various imperfections. Misuse of such information in reliability analysis will lead to conflicting or even erroneous results. In this paper, we propose a Bayesian reliability approach for complex systems with dependent life metrics. Notions such as explicit evidence and implicit evidence are established based on an identification of different roles of multiple dependent evidence in the likelihood construction. A likelihood decomposition method is developed to convert the overall likelihood into a product of Explicit Evidence-based Likelihood (EEL) function and Implicit Evidence-based Likelihood (IEL) function. An inferential diagram is developed to intuitively generate the required implicit evidence taking both outer-source information and the system configuration into consideration. An algorithm is then presented for implementation. The contribution of our work is a systematic investigation of the role of dependent evidence in system reliability evaluation and a full Bayesian approach that is applied to various system reliability models. Extensive numerical cases and a practical engineering case are demonstrated for validation and to illustrate the benefits of our approach. © 2021 Elsevier Ltd
Keyword ：
Bayesian networks Bayesian networks Reliability analysis Reliability analysis
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| GB/T 7714 | Yang, Lechang , Wang, Pidong , Wang, Qiang et al. Reliability analysis of a complex system with hybrid structures and multi-level dependent life metrics [J]. | Reliability Engineering and System Safety , 2021 , 209 . |
| MLA | Yang, Lechang et al. "Reliability analysis of a complex system with hybrid structures and multi-level dependent life metrics" . | Reliability Engineering and System Safety 209 (2021) . |
| APA | Yang, Lechang , Wang, Pidong , Wang, Qiang , Bi, Sifeng , Peng, Rui , Behrensdorf, Jasper et al. Reliability analysis of a complex system with hybrid structures and multi-level dependent life metrics . | Reliability Engineering and System Safety , 2021 , 209 . |
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