Article
Energy & Fuels
Hamzeh Soltanali, Mehdi Khojastehpour, Jose Torres Farinha, Jose Edmundo de Almeida e Pais
Summary: The study identifies process integrity, insufficient data, and system complexity in the automotive manufacturing sector as major uncertainty factors influencing failure probability. It introduces a fuzzy fault tree analysis approach to estimate failure probability for maintenance planning, and incorporates Bayesian network theory to address the undynamic relationship between failure in complex systems. The results show that while changes in decision attributes have minimal impact on failure probability, the Bayesian network model significantly improves prediction accuracy by considering dynamic relationships.
Article
Green & Sustainable Science & Technology
Weiqing Huang, Han Li, Hongbo Fan, Yu Qian
Summary: This study established a risk assessment framework and explored the causation mechanism of excess emission of flue gas pollutants from MSWI power plants in China. Through analysis of real cases, key risk factors were identified to provide decision support for reducing flue gas pollutants emissions in the MSWI industry.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Nuclear Science & Technology
Xu Zhang, Zhiguang Deng, Yifan Jian, Qichang Huang, Hao Peng, Quan Ma
Summary: This study proposes a reliability evaluation model based on a T-S fuzzy fault tree for the safety-class (1E) digital control system of a nuclear power plant. The connection relationship between components is described using T-S fuzzy gates, and key indicators are calculated for fault diagnosis. The effectiveness of the proposed method is demonstrated through analysis of actual objects.
NUCLEAR ENGINEERING AND TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
E. Fathy
Summary: Uncertainty linear programming (ULP) has been a significant subject of study and interest in recent decades. This paper focuses on the ULP problem where all parameters and/or decision variables are expressed as interval-valued intuitionistic fuzzy (IVIF) numbers. Two methods, IVIFLP and FIVIFLP, are proposed to solve the LP problem with IVIF parameters and variables. The methods involve reducing the problems into smaller crisp linear problems (CLPs) and applying reduction techniques based on linear combinations between variables. The proposed methods are illustrated numerically and demonstrate improvements over existing methods for solving transportation problems in an IVIF environment.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Man Gao, Qinghua Zhang, Fan Zhao, Chengying Wu, Guoyin Wang, Deyou Xia
Summary: In this paper, a new shadowed set model called UC-GTSS is proposed based on the game analysis between uncertainty and decision cost. The optimal decision thresholds are found through game analysis, and a game payoff fusion algorithm is proposed. The definition of the UC-GTSS model, game player, strategy, payoff function, equilibrium analysis, and the influence of model parameters are analyzed and discussed. The UC-GTSS model is also extended and discussed based on the validity of the partition results. Through algorithms, instances, and data experiments, the construction process, validity, and rationality of UC-GTSS and its extended model are demonstrated.
APPLIED SOFT COMPUTING
(2023)
Article
Mathematics
Jihong Pang, Jinkun Dai, Yong Li
Summary: In this paper, a fault intelligent analysis and diagnosis system based on fuzzy fault tree and evidence theory is proposed to solve the difficulty in analyzing the overall failure of electromagnets. The validity and feasibility of the method is proved by using the example of insufficient retention force in the electromagnet manufacturing process.
Article
Computer Science, Artificial Intelligence
Gurkan Isik
Summary: Real-world problems often involve uncertainties, and Fuzzy Set Theory (FST) is commonly used to model these uncertainties. However, the choice of FST extensions (FSTEs) is often made without clear reasons, leading to questions about the quality and reliability of the results. The study proposes a guiding framework for selecting the most suitable FSTE to obtain reliable, applicable, and efficient results.
APPLIED INTELLIGENCE
(2023)
Article
Engineering, Chemical
Yubo Bi, Shilu Wang, Changshuai Zhang, Haiyong Cong, Wei Gao, Bei Qu, Jizhen Li
Summary: This paper proposes a Bayesian network (BN) model to assess the safety of the solid propellant granule-casting molding process. Fault tree analysis (FTA) is used to establish a causal link between process variables and process failures. Expert experience and fuzzy set theory (FST) are utilized to obtain failure probabilities of the basic events (BEs). The results of this study can provide effective supporting information for managers to conduct process safety analysis.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2023)
Article
Engineering, Environmental
Nan Pang, Peng Jia, Liquan Wang, Feihong Yun, Gang Wang, Xiangyu Wang, Lei Shi
Summary: The subsea Christmas tree plays a crucial role in production management and safety control, with the annulus loop identified as the least reliable component. The tubing hanger has the greatest impact on system reliability, while the choke valve has the biggest impact on system safety. Proposed control measures aim to significantly reduce the failure risk of the tree.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Construction & Building Technology
Qiankun Wang, Jiaji Zhang, Ke Zhu, Peiwen Guo, Chuxiong Shen, Zhihua Xiong
Summary: With the rapid urbanization, the construction of urban subway tunnel networks is becoming deeper, denser, and larger. However, there is a lack of systematic identification and dynamic reasoning analysis of factors in the whole process of subway tunnel construction using the mining method. In order to improve safety risk management, a dynamic safety evaluation method based on Fuzzy Set Theory and Bayesian Network is proposed. This research provides insights for the scientific management of safety risks in the construction of subway tunnels using the mining method.
Article
Engineering, Chemical
Jinhui Yang, Jin Zhao, Liangshan Shao
Summary: This study proposes a new method to assess and deal with the risk of coal mine gas explosions. By combining fault tree analysis and fuzzy polymorphic Bayesian networks, the risk probability and risk distribution can be calculated in real-time, and targeted prevention and control measures can be proposed. The study finds that excessive ventilation resistance, spontaneous combustion of coal, and electric sparks are the main risk factors of gas explosions, and controlling these key factors can significantly reduce the risk.
Article
Mathematics, Interdisciplinary Applications
Baorui Liang, Suhua Zhang, Dongping Li, Yuxin Zhai, Fei Wang, Lexian Shi, Yongbo Wang
Summary: The study conducted a comprehensive evaluation of safety risks in construction projects by establishing an evaluation index system, combining empirical analysis and the analytic hierarchy process. The results indicated the feasibility and effectiveness of the evaluation system and model, providing a reference for safety risk management.
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2021)
Article
Computer Science, Artificial Intelligence
Elaheh Ebrahimi, Gholamreza Abdollahzadeh, Ehsan Jahani
Summary: This paper focuses on addressing uncertainties in building performance levels and loading conditions through evaluation process, utilizing fuzzy numbers and fuzzy set theory to model and estimate performance levels and structural responses, and proposing a novel fuzzy decision-making approach to ensure comprehensive assessment of building performance.
APPLIED SOFT COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Jiang Han, Siyang Yang, Lian Xia, Ye-Hwa Chen
Summary: In this article, a deterministic adaptive robust control method with control gain parameters optimized by a novel cooperative game theory is proposed for the two-degree-of-freedom lower limb exoskeleton robot system with uncertainties and external disturbances. The control approach guarantees the boundedness of gait constraint deviation and parameter estimation error, and a novel cooperative game is formulated to seek Pareto optimal solutions for the control gains. Numerical technique is used to show the existence of optimal solutions, and simulation results confirm the effectiveness of the proposed methodology in improving lower limb rehabilitation training.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Engineering, Marine
Yunus Emre Senol, Fatma Yasli
Summary: Maintaining the purity of chemical cargoes and preventing contamination are crucial in chemical cargo transportation. Efficient tank cleaning operations and comprehensive risk assessments are necessary to develop effective risk prevention strategies tailored to different conditions.
Article
Engineering, Electrical & Electronic
Prosanta Gope, Hemant Ghayvat, Yongqiang Cheng, Sohag Kabir
Summary: The rapid development of wireless networks has raised security concerns in portable communication systems (PCSs). This article presents a novel delegation-based anonymous and untraceable authentication protocol to address these security issues and provide a solution for secure communications in PCSs.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2023)
Article
Automation & Control Systems
Moemedi Lefoane, Ibrahim Ghafir, Sohag Kabir, Irfan-Ullah Awan
Summary: The deployment of Internet of Things devices is rapidly growing worldwide, making them an integral part of national infrastructure. However, their characteristics and limitations also make them attractive targets for hackers. This article proposes two pattern-based feature selection methods for a machine learning-based botnet detection system, which have shown improved performance and reduced computational cost.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Multidisciplinary
Sohag Kabir, Prosanta Gope, Saraju P. Mohanty
Summary: The exponential growth of IoT has allowed safety-critical cyber-physical systems to become a part of our daily activities. However, it has also posed new challenges, particularly in terms of safety and security, which can hinder the widespread adoption of new IoT applications. To address these challenges, this article presents a security-enabled safety monitoring framework for IoT-based systems, utilizing design-time system analysis to create an executable monitoring model that ensures runtime safety assurance provision through the collection and analysis of operational data and evidence, enabling appropriate actions and secure communication of safety status and recommended actions to minimize the risk of entering an unsafe state.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Chemistry, Physical
Ashi Chauhan, Nima Golestani, Mohammad Yazdi, Jackline C. W. Njue, Rouzbeh Abbassi, Fatemeh Salehi
Summary: This paper presents a new integrated methodology for quantifying the impacts of different conditions on the reliability of operators' performances in hydrogen fuelling stations. The proposed framework combines Bayesian network, HEART, and BWM techniques to reduce human errors and enhance the safety and reliability of operators.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Marine
Mohammad Yazdi, Faisal Khan, Rouzbeh Abbassi
Summary: Microbiologically Influenced Corrosion (MIC) poses a significant challenge to offshore oil and gas facilities, leading to pinholes and leaks. Preventive (coatings, cathodic protection) and mitigative (inhibitor and biocide treatment) actions are crucial for pipeline integrity management. A multi-objective functional methodology involving dynamic continuous Bayesian network modeling and a genetic algorithm is proposed to minimize operational risks associated with MIC.
Article
Engineering, Multidisciplinary
Mohammad Yazdi, Yiyuan Ding, Sidum Adumene, Parastoo Shafie
Summary: This research aims to study the applicability of game theory to system safety and reliability decision-making problems and corresponding objective conflicts using non-cooperative games. The non-cooperative games consider non-cooperative cognitive decision-makers behaviors, which are commonly ignored by other system safety and reliability analysis techniques assuming perfect cooperation. Game theory can recognize and understand the decision-makers' behaviors and provide a win-win situation for all players and the best system outcomes.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Review
Engineering, Multidisciplinary
Mohammad Yazdi, Javad Mohammadpour, He Li, Hong-Zhong Huang, Esmaeil Zarei, Reza Ghasemi Pirbalouti, Sidum Adumene
Summary: Fault tree analysis (FTA) is a popular failure analysis technique that identifies the potential pathways leading to system or component failure. Scholars and practitioners have made efforts to address the shortcomings of conventional FTA over the past decade. This study conducts a systematic literature review from 2011 to 2021 and finds that there is a growing interest in FTA improvement, with Asia, particularly China, being a leading contributor in this area.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Green & Sustainable Science & Technology
Guang-Jun Jiang, Cheng-Geng Huang, Arman Nedjati, Mohammad Yazdi
Summary: The extensive oil and gas industrial sectors in Iran have caused environmental problems. The government is considering developing renewable energies like biomass energy to address this issue. However, there are various barriers hindering the development of biomass energy. To assist decision-makers, a novel approach using IVSFS-BWM and IVSFS-DEMATEL has been developed to assess the challenges and provide a strategic plan. The results indicate the effectiveness of the proposed methodology and highlight the importance of addressing contributing factors such as lack of training institutes, infrastructure, and investors in the biomass energy system.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Computer Science, Artificial Intelligence
He Li, Mohammad Yazdi, Hong-Zhong Huang, Cheng-Geng Huang, Weiwen Peng, Arman Nedjati, Kehinde A. A. Adesina
Summary: This paper develops a decision-making approach for hospital service quality assessment using a Bayesian copula network and a fuzzy rough set. The method effectively deals with dynamic features and objective uncertainties. The results from analyzing real hospital service quality in Iran validate the efficiency and practicality of the proposed method.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Public, Environmental & Occupational Health
Kamran Gholamizadeh, Esmaeil Zarei, Sohag Kabir, Abbas Mamudu, Yasaman Aala, Iraj Mohammadfam
Summary: Process safety has received increasing attention and research in recent years from various perspectives, but there have been few attempts to focus on inherent safety design assessment, despite its cost-effectiveness and crucial role in sustainable development and safe operation. This research proposed a knowledge-driven model to assess inherent safety in process infrastructure under uncertainty. The model was validated using subject matter experts and applied to a steam methane-reforming plant for hydrogen production, identifying the most important factors and indicators to improve inherent safety design and support decision-making for safety measures.
Article
Engineering, Chemical
Mohammad Yazdi, Rosita Moradi, Reza Ghasemi Pirbalouti, Esmaeil Zarei, He Li
Summary: Hydrogen vehicles play a pivotal role in the UK's energy landscape and have significant impact on shaping the circular economy. A comprehensive investigation and implementation of safety measures are crucial to fully harness the benefits of hydrogen vehicles. This study employs quantitative risk assessment and an adaptive decision-making trial and evaluation laboratory framework to ensure the secure deployment and operational excellence of hydrogen vehicles.
Review
Computer Science, Information Systems
Alhassan Abdulhamid, Sohag Kabir, Ibrahim Ghafir, Ci Lei
Summary: The rapid development of the Internet of Things (IoT) has brought numerous benefits, but for high-consequence domains, it is crucial to ensure the safety and security of IoT devices. This paper reviews the existing classical and model-based system engineering approaches for IoT systems' safety and security analysis. The review finds that most analysis frameworks are based on classical manual approaches and have limitations in terms of human error, time consumption, and lack of support for reusability. Model-based approaches have been introduced to improve the efficiency and manageability of the analysis process, but they are still in their infancy in the IoT environment. The existing methods have not adequately addressed the interdependencies between safety and security, detailed cyber security quantification analysis, and the unified treatment of safety and security properties.
Article
Ecology
He Li, Mohammad Yazdi, Rosita Moradi, Reza Ghasemi Pirbalouti, Arman Nedjati
Summary: This study comprehensively assesses the risks associated with hydrogen energy production, storage, transportation, and utilization, and presents practical recommendations for integrating hydrogen energy into the UK's sustainable development goals. The analysis identifies safety standards, clean energy access, and industry, innovation, and infrastructure as crucial factors, with SDG 13 (Climate Action) exhibiting relatively lower overall importance compared to SDG 7 (Clean Energy Access) and SDG 9 (Industry, Innovation, and Infrastructure).
Article
Energy & Fuels
Jorge Angarita Marquez, Mohammad Ahmad A. Al-Ja'Afreh, Geev Mokryani, Sohag Kabir, Felician Campean, Cuong Dao, Sana Riaz
Summary: This paper proposes a novel approach for the reliability cost-based optimization of Distribution Systems (DS), considering tie line-based network reconfiguration method with integration of Distributed Energy Resources (DER). An optimal Energy not Supplied (ENS) index is proposed, where the capacity is handled by curtailment devices in the network such as sectionalizers and the energy supplied by DERs which considers Flexibility Services (FS) within a market environment. The decision variables include the investment and operation of tie-lines and buying regulation services from DER such as Distributed Generation (DG) and Battery Energy Storage Systems (BESS).
Article
Engineering, Industrial
Kamran Gholamizadeh, Esmaeil Zarei, Mohammad Yazdi, Ehsan Ramezanifar, Mostafa Mirzaei Aliabadi
Summary: Chemical tank farms pose a significant threat to human life and nearby infrastructure due to potential domino effect incidents. However, existing approaches for modeling these effects have limitations in accounting for the system's state over time and complex parameter interactions. This study develops a hybrid model that integrates Bowtie for cause-consequence analysis and utilizes the set pair analysis method to handle uncertainty, providing a comprehensive and practical approach for assessing and managing the risks associated with domino effects in chemical tanks.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Environmental
Xingxing Hu, Lingjie Liu, Yanmeng Bi, Lu Li, Chunsheng Qiu, Jingjie Yu, Shaopo Wang
Summary: In this study, the impact of exogenous folate on the start-up process of single-stage partial nitritation-anammox (SPNA) was evaluated using two lab-scale reactors. The results showed that folate addition can enhance nitrogen removal rate, extracellular polymeric substances production, hydrazine oxidase and dehydrogenase activity, as well as the relative abundance of Candidatus Brocadia.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Shaocang He, Tingting Shen, Jing Sun, Haoqi Pan, Chenxu Sun, Tianpeng Li, Runyao Li, Enshan Zhang
Summary: A novel process of acid leaching neutralization was developed for the preparation of inorganic polymeric composite ferric aluminum silicate coagulant (CFAS) using solid waste coal gasification coarse slag (CGCS). The optimized preparation process was determined through single-factor experiment and the performance of CFAS was evaluated for domestic sewage treatment. The results showed that CFAS exhibited excellent coagulation ability and achieved significant removal efficiency for turbidity, ammonia nitrogen, and chemical oxygen demand.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Kinga Szatmari, Sandor Nemeth, Alex Kummer
Summary: In this article, a resilience-based reinforcement learning approach is proposed to address the potential thermal runaway issue in batch reactors. By calculating the resilience metric for reactors and utilizing Deep Q-learning to decide when to intervene in the system, resilient-based mitigation systems can be effectively developed.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Bingyou Jiang, Qi Yao, Mingqing Su, Jingjing Li, Kunlun Lu, Dawei Ding, Han Hong
Summary: This study investigates the inhibitory characteristics and mechanisms of ABC powder on coal powder explosion. The addition of ABC powder significantly decreases the maximum explosion pressure and can completely suppress coal dust explosions. The study also reveals the thermal decomposition characteristics and reaction kinetics of the mixed system.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Kubilay Bayramoglu, Mustafa Nuran
Summary: This study examines the feasibility of using pyrolytic oil from waste tires as fuel in diesel engines, and evaluates its energy, exergy, and sustainability. The results indicate that pyrolytic oil has potential as a renewable fuel source with relatively high thermal efficiency.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Xinru Duan, Yejia Lv, Jiaxing Hong, Jianzhong Wu, Jia Zhang, Yang Yue, Guangren Qian
Summary: This study successfully prepared a tube reactor with optimized catalyst formula, which showed good performance in removing dioxins and other pollutants in the experiments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Jiaoyang Du, Xueming Dang, Xiaorong Gan, Xin Cui, Huimin Zhao
Summary: In this study, a photocatalyst-enzyme hybrid system was constructed, which solved the issue of enzyme inactivation caused by high concentration of H2O2 through photocatalytic in-situ H2O2 production, and improved the stability and catalytic efficiency of the enzyme. The effectiveness of the system in treating phenolic EDCs was confirmed through experiments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Fu-Rong Xiu, Longsheng Zhan, Yingying Qi, Xinyue Lei, Jiali Wang, Haipeng Zhou, Wenting Shao
Summary: This study developed a synergetic and high-efficiency treatment of waste tantalum capacitors (WTCs) and polyvinyl chloride (PVC) using subcritical water process. The treatment significantly reduced the temperature and reaction time for metal tantalum recovery from WTCs, and improved the dechlorination efficiency of PVC. The optimized conditions resulted in 100% resin conversion efficiency of WTCs and 97.39% dechlorination efficiency of PVC. The interaction between decomposition products of WTCs and PVC produced a high level of benzoic acid.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Bingda Li, Jiaming Song, Yuting Li, Chaoying Meng, Shuxian Wang, Linghao Zong, Honggang Ye, Yishuai Jing, Feng Teng, Peng Hu, Haibo Fan, Guangde Chen, Xin Zhao
Summary: CdPS3 nanosheets, especially those exfoliated by sodium cholate, have shown highly efficient photocatalytic degradation performance. The strong dark adsorption and dye-sensitized photocatalytic properties of CdPS3 nanosheets contribute to high degradation efficiencies of various pollutants.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Dongxu Ouyang, Yimei Pang, Bo Liu, Zhirong Wang
Summary: This study investigates the thermal runaway features of lithium-ion cells under tunnel conditions, considering different states of charge and tunnel ceilings. The results show that the tunnel visibility is affected by the smoke generated during thermal runaway, and the shape of the tunnel ceiling influences the temperature rise differently.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
