Searched for: author%3A%22Yang%2C+M.%22
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Yuan, S. (author), Reniers, G.L.L.M.E. (author), Yang, M. (author), Bai, Y. (author)
Chemical plants face safety hazards and security threats that may induce catastrophic scenarios. Safety and security barriers are employed widely to protect chemical plants from accidental and intentional undesired events and mitigate consequences. Managing safety and security barriers effectively and economically is a research topic with...
journal article 2023
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Modi, Siddharth (author), Srinivasa Rao, Meka (author), Gupta, T.C.S.M. (author), Yang, M. (author)
This paper elaborates three novel contributions in the field of chemical process safety. The first contribution is the identification and classification of chemical system variabilities into seven broad categories, namely, media, equipment, component, operator, procedural, management, and external (MECOPME). The identified variabilities lead to...
journal article 2023
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Mao, Qi (author), Wang, Haiqing (author), Yang, M. (author), Hu, Jason (author)
Safety instrumented systems(SIS) have been widely used in petroleum and chemical plants to detect and respond to dangerous events and prevent them from developing into accidents. The in-service time of SIS does not exceed its useful life is one of the crucial assumptions of IEC functional safety standards. The testing method recommended in the...
journal article 2023
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Iaiani, Matteo (author), Tugnoli, Alessandro (author), Cozzani, Valerio (author), Reniers, G.L.L.M.E. (author), Yang, M. (author)
Offshore Oil&Gas facilities are attractive targets of intentional malicious attacks (security attacks) that may trigger cascading events (e.g., the release and dispersion of hazardous material and/or energy, fires, explosions) with consequences on people, environment, and assets. The severity of these consequences is potentially similar to...
journal article 2023
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Yuan, S. (author), Reniers, G.L.L.M.E. (author), Yang, M. (author)
An integrated approach for performance assessment and management of safety barriers in a systemic manner is needed concerning the prevention and mitigation of major accidents in chemical process industries. Particularly, the effects of safety barriers on system risk reduction should be assessed in a dynamic manner to support the decision-making...
journal article 2023
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Li, Xinhong (author), Ma, Jie (author), Han, Ziyue (author), Zhang, Y. (author), Yang, M. (author)
This paper presents a game theory methodology for risk management of urban natural gas pipelines, which is a collaborative participation mechanism of the stakeholders, including government, pipeline companies, and the public. Firstly, the involvement proportion of stakeholders in risk management under rational conditions is estimated by the...
journal article 2023
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Geng, S. (author), Yang, M. (author), Mitici, Mihaela (author), Liu, Sifeng (author)
System resilience characterizes the capability of maintaining the required functionality under disruptions, which is of great significance in evaluating the productivity and safety of complex engineered systems. Although most studies conduct resilience assessment from qualitative and quantitative perspectives, system functionality that reflects...
journal article 2023
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Zhang, Xinqi (author), Shi, Jihao (author), Yang, M. (author), Huang, Xinyan (author), Usmani, Asif Sohail (author), Chen, Guoming (author), Fu, Jianmin (author), Huang, Jiawei (author), Li, Junjie (author)
Long short-term memory (LSTM) has been widely applied to real-time automated natural gas leak detection and localization. However, LSTM approach could not provide the interpretation that this leak position is localized instead of other positions. This study proposes a leakage detection and localization approach by integrating the attention...
journal article 2023
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Xu, Y. (author), Reniers, G.L.L.M.E. (author), Yang, M. (author), Yuan, S. (author), Chen, Chao (author)
Domino accidents are typical low-frequency and high-consequence events in chemical process industries. Applying quantitative risk assessment (QRA) in domino accident assessment is challenging due to the uncertainties in the escalation process. Meanwhile, the outcomes of QRA are subject to a certain degree of unreliability due to the...
journal article 2023
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Yang, M. (author), Sun, H. (author), Geng, S. (author)
Recent years have seen the increasing complexity of engineered systems. Complexity and uncertainty also exist in engineered systems’ interactions with human operators, managers, and the organization. Resilience, focusing on a system's ability to anticipate, absorb, adapt to, and recover from disruptive situations, can provide an umbrella concept...
journal article 2023
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Yang, M. (author), Chen, C. (author), Yuan, S. (author), Hermias, Jeffrel (author), Reniers, G.L.L.M.E. (author)
We witness many severe accidents in different sectors worldwide every year, resulting in fatalities, injuries, environmental pollution, property loss, etc. Safety management aims to use interventions to prevent these undesired events and thus avoid different kinds of loss. Various interventions that have different safety performances and costs...
report 2022
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Lee, J. (author), Mitici, M.A. (author), Geng, S. (author), Yang, M. (author)
When designing the maintenance of multi-component aircraft systems, we consider parameters such as safety margins (used when component replacements are scheduled), and reliability thresholds (used to define data-driven Remaining-Useful-Life prognostics of components). We propose Gaussian process learning and novel adaptive sampling techniques to...
conference paper 2022
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Kopbayev, Alibek (author), Khan, Faisal (author), Yang, M. (author), Halim, S. Zohra (author)
The increased complexity of digitalized process systems requires advanced tools to detect and diagnose faults early to maintain safe operations. This study proposed a hybrid model that consists of Kernel Principal Component Analysis (kPCA) and DNNs that can be applied to detect and diagnose faults in various processes. The complex data is...
journal article 2022
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Yuan, S. (author), Yang, M. (author), Reniers, G.L.L.M.E. (author), Chen, C. (author), Wu, Jiansong (author)
Barriers are used in various forms to assure the safety of chemical plants. A deep understanding of the literature related to safety barriers is essential to tackle the challenges in improving their design and management. This paper first provides an overview of the history of the development of the safety barrier concept. Subsequently, this...
journal article 2022
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Cozzani, Valerio (author), Yang, M. (author)
contribution to periodical 2022
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Sun, H. (author), Wang, Haiqing (author), Yang, M. (author), Reniers, G.L.L.M.E. (author)
Chemical process systems (CPSs) involve complex dynamic processes. Besides, the emergent and uncertain hazards and disruptions cannot be identified entirely and prevented by conventional methods. In those situations, resilience for CPSs plays an essential role in absorbing, adapting to disruptions, and restoring from damages. Systemic modeling...
journal article 2022
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Xu, Y. (author), Reniers, G.L.L.M.E. (author), Yang, M. (author), Yuan, S. (author), Chen, C. (author)
Data uncertainties caused by the lack of knowledge and nature variation or randomness present vital challenges to domino effects modelling. To improve the assessment of the propagation probabilities and consequences of the domino-effect accidents, the influence of various types of uncertainties on risk assessment results needs to be investigated...
journal article 2022
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Yuan, S. (author), Yang, M. (author), Reniers, G.L.L.M.E. (author), Chen, C. (author)
Chemical process industries are threatened with accidental and intentional adverse events because of the storage and operation of large quantities of hazardous substances. Safety and security barriers play important roles in protecting the chemical plants from safety and security-related undesired events and mitigating the potentially...
journal article 2022
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Yang, M. (author), Isufi, E. (author), Leus, G.J.T. (author)
Graphs can model networked data by representing them as nodes and their pairwise relationships as edges. Recently, signal processing and neural networks have been extended to process and learn from data on graphs, with achievements in tasks like graph signal reconstruction, graph or node classifications, and link prediction. However, these...
conference paper 2022
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Isufi, E. (author), Yang, M. (author)
This paper proposes convolutional filtering for data whose structure can be modeled by a simplicial complex (SC). SCs are mathematical tools that not only capture pairwise relationships as graphs but account also for higher-order network structures. These filters are built by following the shift-and-sum principle of the convolution operation and...
conference paper 2022
Searched for: author%3A%22Yang%2C+M.%22
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