Article
Automation & Control Systems
Carlos Renato Vazquez, Enrique Aguayo-Lara
Summary: Continuous Petri nets (TCPNs) are continuous-state dynamical systems that approximate the behavior of timed discrete event systems. TCPNs approximate the average marking and throughput of generalized stochastic Petri nets (GSPNs). This study introduces immediate transitions to the TCPN model, resulting in TCPN+I. A fast simulation algorithm and procedures to transform TCPN+I into dynamically equivalent TCPNs are introduced, enabling the application of existing analysis techniques for TCPN systems.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Marine
Eduard Lotovskyi, Angelo P. Teixeira, Carlos Guedes Soares
Summary: This paper examines the production availability and maintenance costs of an offshore wind turbine with a horizontal axis configuration using Petri Nets modelling and Monte Carlo Simulation. It evaluates the reliability and maintainability of the components, as well as the logistics of production and maintenance operations. The study aims to optimize age-based preventive maintenance parameters to reduce costs and increase operating income.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Agnieszka Rybarczyk, Dorota Formanowicz, Marcin Radom, Piotr Formanowicz
Summary: Atherosclerosis is a complex disease with multiple factors contributing to its development and progression. Despite decades of research, it remains a global health problem that cannot be completely stopped or cured. This study used a stochastic Petri net model to investigate the impact of cholesterol metabolism, inflammation, and oxidative stress on atherosclerosis. The results showed that blocking the impact of cholesterol alone is insufficient to halt the progression of the disease, and inhibition of oxidative stress is also important. The study further supported the effectiveness of combined treatments against atherosclerosis.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Physical
Matthew Jura, Marvin Bishop
Summary: This paper computes the scattering functions of nine generations of ideal tri-functional comb and dendrimer polymers using novel graph techniques. The properties of polymers with 9 to 3069 branches are explored. The g-ratios and scattering functions indicate that as the number of branches increases, comb polymers behave more like linear polymers with half the number of branches, while dendrimers become more like spherical objects.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Article
Engineering, Multidisciplinary
Yining Zeng, Youchao Sun
Summary: This paper proposes a method for analyzing the reliability of systems with fuzzy failure probabilities and complex failure behaviors, while maintaining the fuzzy information throughout the analysis process. The method combines generalized stochastic Petri nets (GSPN) and dynamic fault trees (DFT) to capture dynamic failure behaviors and overcome the limitations of DFT modeling. It also introduces a Monte Carlo technique based on endpoint sampling to enable quantitative analysis of GSPN-based composite models while preserving the fuzzy fault information. The effectiveness of the proposed method is demonstrated through an example of a flight control system.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Mechanics
Hakan Kaygusuz, F. Bedia Erim, A. Nihat Berker
Summary: By adjusting the ratio between molecular interactions and electric field strength, a modular electroosmotic flow can be achieved for separations.
Article
Chemistry, Multidisciplinary
Stavros Souravlas, Sofia Anastasiadou, Irene Kostoglou
Summary: This paper presents the first attempt to generate Petri net models based on real data and control the model generation using specific rules. The use of real data allows for more structured models, which is crucial for modeling large systems. The courier company model generated using real data is validated through simulation and yields accurate results.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Tassio Fernandes Costa, Alvaro Sobrinho, Lenardo Chaves E. Silva, Leandro Dias da Silva, Angelo Perkusich
Summary: This study aims to assist in the quality evaluation of insulin infusion pump systems in a cost-effective and time-efficient manner. By applying a formal Model-Based Approach (MBA), a Coloured Petri nets MBA is defined and a case study and empirical evaluation are conducted. The results demonstrate the relevance of this approach for assessing the quality of insulin infusion pump systems.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Min Hao, Chengmin Wei, Heng Zhang
Summary: This study investigates the impact of pore structure in coal on methane adsorption and diffusion through molecular simulations. The results demonstrate that an increase in slit pores enhances the adsorption capacity and heat of adsorption of methane. Moreover, the increased slit pores facilitate self-diffusion and transport diffusion of methane molecules.
Article
Management
Joseph L. Breeden, Yevgeniya Leonova
Summary: This article develops a Monte Carlo method that estimates the loss distribution for a single loan, allowing for a better understanding of the risk distribution due to modelling and macroeconomic uncertainty. The study finds that the Monte Carlo simulation results fit well with a Lognormal distribution. Additionally, the feasibility of using quantum computers for the calculations is explored, showing potential for significant speed enhancement, albeit with the need for further quantum algorithm development for the full analysis of competing risks.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Computer Science, Interdisciplinary Applications
Jingyi Zhu, Chao Liu, Yan Liu, Jiangbo Chen, Yachao Zhang, Kuanming Yao, Lidai Wang
Summary: Researchers have developed a self-fluence-compensated OR-PAM technique to improve the accuracy of sO(2) imaging, especially for brain vascular imaging. Through validation in numerical and physical phantoms, it was found that this compensation method can effectively reduce errors in sO(2) imaging.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Chemistry, Analytical
Michal Markiewicz, Leslaw Gniewek, Dawid Warchol
Summary: This paper introduces a new concept and definition of hierarchical structure for Fuzzy Interpreted Petri Net (FIPN), including the concept of macroplaces and their implementation in a computer simulator called HFIPN-SML.
Article
Chemistry, Multidisciplinary
Samuel Medina-Garcia, Joselito Medina-Marin, Oscar Montano-Arango, Manuel Gonzalez-Hernandez, Eva Selene Hernandez-Gress
Summary: Business process modeling is crucial for analyzing and improving processes to achieve organizational goals. This study developed a BP modeling algorithm using Petri nets and compared the performance of two different business processes with the same goal using a software artifact.
APPLIED SCIENCES-BASEL
(2023)
Article
Mechanics
Haibing Peng
Summary: Despite the widespread use of Navier-Stokes equations in computational-fluid-dynamics (CFD), there are still unanswered questions due to the absence of considering the statistical nature of discrete air molecules. In this study, we propose a statistical mechanics-based approach called the volume-element method, which allows for the numerical evaluation of aerodynamic lift and drag. We obtained pressure and friction values as a function of the angle of attack for flat-plate airfoils, and this method can be directly applied to convex-shape airfoils and combined with Monte Carlo simulations for concave-shape airfoils. This approach not only has implications for aerodynamic applications, but also opens up possibilities for further applications in Boson or Fermi gases.
Article
Computer Science, Information Systems
Dimitri Lefebvre, Christoforos N. Hadjicostis
Summary: This paper addresses the diagnosability of fault patterns in timed stochastic discrete event systems. It formulates the diagnosability problem using labeled stochastic Petri net models and pure logical fault pattern nets. A specific composition of a labeled stochastic Petri net with a fault pattern net is proposed to explicitly characterize the fault patterns, including timing and probabilistic aspects. Additionally, logical and probabilistic verifiers are derived to establish a set of conditions for checking both strong and weaker notions of diagnosability.
INFORMATION SCIENCES
(2022)
Article
Engineering, Industrial
Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski
Summary: This article discusses the issues related to the redundancy of k-out-of-n structures and proposes a probabilistic and simulation-based optimization method. The method was applied to real transport systems, demonstrating its effectiveness in reducing costs and improving system availability and performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Wencheng Huang, Haoran Li, Yanhui Yin, Zhi Zhang, Anhao Xie, Yin Zhang, Guo Cheng
Summary: Inspired by the theory of degree entropy, this study proposes a new node identification approach called Adjacency Information Entropy (AIE) to identify the importance of nodes in urban rail transit networks (URTN). Through numerical and real-world case studies, it is found that AIE can effectively identify important nodes and facilitate connections among non-adjacent nodes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xian Zhao, Chen Wang, Siqi Wang
Summary: This paper proposes a new rebalancing strategy for balanced systems by switching standby components. Different switching rules are provided based on different balance conditions. The system reliability is derived using the finite Markov chain imbedding approach, and numerical examples and sensitivity analysis are presented for validation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Fengyuan Jiang, Sheng Dong
Summary: Corrosion defects are the primary causes of pipeline burst failures. The traditional methodologies ignore the effects of random morphologies on failure behaviors, leading to deviations in remaining strength estimation and reliability analysis. To address this issue, an integrated methodology combining random field, non-linear finite element analysis, and Monte-Carlo Simulation was developed to describe the failure behaviors of pipelines with random defects.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Guoqing Cheng, Jiayi Shen, Fang Wang, Ling Li, Nan Yang
Summary: This paper investigates the optimal joint inspection and mission abort policies for a multi-component system with failure interaction. The proportional hazards model is used to characterize the effect of one component's deterioration on other components' hazard rates. The optimal policy is studied to minimize the expected total cost, and some structural properties of the optimal policy are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Shaomin Wu
Summary: A new resilience model is proposed in this paper for systems under competing risks, and related indices are introduced for evaluating the system's resilience. The model takes into account the degradation process, external shocks, and maintenance interactions of the system, and its effectiveness is demonstrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yang Li, Jun Xu
Summary: This paper proposes a translation model based on neural network for simulating non-Gaussian stochastic processes. By converting the target non-Gaussian power spectrum to the underlying Gaussian power spectrum, non-Gaussian samples can be generated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yanyan Liu, Keping Li, Dongyang Yan
Summary: This paper proposes a new random walk method, CBDRWR, to analyze the potential risk of railway accidents. By combining accident causation network, we assign different restart probabilities to each node and improve the transition probabilities. In the case study, the proposed method effectively quantifies the potential risk and identifies key risk sources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Nan Hai, Daqing Gong, Zixuan Dai
Summary: The current risk management of utility tunnel operation and maintenance is of low quality and efficiency. This study proposes a theoretical model and platform that offer effective decision support and improve the safety of utility tunnel operation and maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Tomoaki Nishino, Takuya Miyashita, Nobuhito Mori
Summary: A novel modeling methodology is proposed to simulate cascading disasters triggered by tsunamis considering uncertainties. The methodology focuses on tsunami-triggered oil spills and subsequent fires and quantitatively measures the fire hazard. It can help assess and improve risk reduction plans.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Mingjiang Xie, Yifei Wang, Jianli Zhao, Xianjun Pei, Tairui Zhang
Summary: This study investigates the effect of rockfall impact on the health management of pipelines with fatigue cracks and proposes a crack propagation prediction algorithm based on rockfall impact. Dynamic SIF values are obtained through finite element modeling and a method combining multilayer perceptron with Paris' law is used for accurate crack growth prediction. The method is valuable for decision making in pipeline reliability assessment and integrity management.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Saeed Jamalzadeh, Lily Mettenbrink, Kash Barker, Andres D. Gonzalez, Sridhar Radhakrishnan, Jonas Johansson, Elena Bessarabova
Summary: This study proposes an integrated epidemiological-optimization model to quantify the impacts of weaponized disinformation on transportation infrastructure and supply chains. Results show that disinformation targeted at transportation infrastructure can have wide-ranging impacts across different commodities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Jiaxi Wang
Summary: This paper investigates the depot maintenance packet assignment and crew scheduling problem for high-speed trains. A mixed integer linear programming model is proposed, and computational experiments show the effectiveness and efficiency of the improved model compared to the baseline one.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
Summary: This paper proposes a DFMs searching algorithm based on the graph neural network (GNN) to improve computational efficiency and adaptively identify DFMs. The algorithm terminates prematurely when unable to identify new DFMs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)