Searched for: subject%3A%22Bayesian%255C+Network%22
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Sun, Hao (author), Wang, Haiqing (author), Yang, M. (author), Reniers, G.L.L.M.E. (author)
The performance assessment of safety barriers is essential to find vulnerable elements in a safety barrier system. Traditional performance assessment approaches mainly focus on using several static indicators for quantifying the performance of safety barriers. However, with the increasing complexity of the system, emerging hazards are highly...
journal article 2021
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de Ronde, Anouk (author), Kokshoorn, Bas (author), de Puit, M. (author), de Poot, Christianne J. (author)
Bayesian networks have shown to be a useful tool for the evaluation of forensic findings given activity level propositions. In this paper, we demonstrate how case specific experiments can be used to assign probabilities to the states of the nodes of a Bayesian network for the evaluation of fingermarks given activity level propositions. The...
journal article 2021
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Chockalingam, S. (author)
Water management infrastructures such as floodgates are critical and increasingly operated by Industrial Control Systems (ICS). These systems are becoming more connected to the internet, either directly or through the corporate networks. This makes them vulnerable to cyber-attacks. Abnormal behaviour in floodgates operated by ICS could be caused...
doctoral thesis 2020
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Ding, Kaixin (author)
Intrusion detection problem in Industrial Control Systems(ICS), such as water treat- ment plant and power grid, is an important real-world problem. Real-time anomaly detection have been proposed to minimize the risk of cyber attack. In this study, two different kind of intrusion detection mode-based approach are learned from normal behaviour of...
master thesis 2020
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Gnodde, Sjoerd (author)
The past decades, the increasing availability of data has paved the way for a new, data-driven generation of models. This research proposes a non-parametric Bayesian network (NPBN) to model hydrologic processes. The Bayesian network (BN) is a directed, acyclic graph in which the variables are represented by the nodes, and the conditional...
master thesis 2020
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Prida Guillén, Álvaro (author)
The existing hydrodynamic models consider full physics approaches to calculate storm surge at coastal regions. However, due to the complexity of the equations that model these processes, the computational time and power required to run them can be large, compared to models that consider simplified equations. By contrast, simplified hydraulic...
master thesis 2020
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Abrishami, S. (author), Khakzad, N. (author), Hosseini, Seyed Mahmoud (author), van Gelder, P.H.A.J.M. (author)
Success Likelihood Index Model (SLIM) is one of the widely-used deterministic techniques in human reliability assessment especially when data is insufficient. However, this method suffers from epistemic uncertainty as it extremely relies on expert judgment for determining the model parameters such as the rates and weights of the performance...
journal article 2020
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Kammouh, O. (author), Gardoni, Paolo (author), Cimellaro, Gian Paolo (author)
Resilience indicators are a convenient tool to assess the resilience of engineering systems. They are often used in preliminary designs or in the assessment of complex systems. This paper introduces a novel approach to assess the time-dependent resilience of engineering systems using resilience indicators. A Bayesian network (BN) approach is...
journal article 2020
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Roscoe, K. (author), Hanea, Anca (author), Jongejan, R.B. (author), Vrouwenvelder, A.C.W.M. (author)
In levee system reliability, the length effect is the term given to the phenomenon that the longer the levee, the higher the probability that it will have a weak spot and fail. Quantitatively, it is the ratio of the segment failure probability to the cross-sectional failure probability. The literature is lacking in methods to calculate the...
review 2020
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Emmanouil, Stergios (author), Aguilar, Sandra Gaytan (author), Nane, G.F. (author), Schouten, Jan Joost (author)
Installation and maintenance strategies regarding offshore wind farm operations involve extensive logistics. The main focus is the right temporal and spatial placement of personnel and equipment, while taking into account forecasted meteorological and ocean conditions. For these operations to be successful, weather windows characterized by...
journal article 2020
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Paprotny, Dominik (author), Kreibich, Heidi (author), Morales Napoles, O. (author), Wagenaar, Dennis (author), Castellarin, Attilio (author), Carisi, Francesca (author), Bertin, Xavier (author), Merz, Bruno (author), Schröter, Kai (author)
Residential assets, comprising buildings and household contents, are a major source of direct flood losses. Existing damage models are mostly deterministic and limited to particular countries or flood types. Here, we compile building-level losses from Germany, Italy and the Netherlands covering a wide range of fluvial and pluvial flood events...
journal article 2020
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Wang, H. (author), Nunez, Alfredo (author), Liu, Zhigang (author), Zhang, Dongliang (author), Dollevoet, R.P.B.J. (author)
The growing variety of data from condition monitoring of high-speed railways offer unprecedented opportunities to improve railway infrastructure maintenance. For condition monitoring of railway catenaries, this paper proposes a data-driven approach that uses a Bayesian network (BN) to integrate the inspection data from catenaries into a key...
journal article 2020
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Froeling, Hidde (author)
As an alternative energy carrier alongside electricity, hydrogen is considered one of the key factors in the impending required changes in the energy system transition. Due to the decrease in natural gas extraction in the Netherlands, the reuse of the natural gas network which eventually will become available for hydrogen transmission has...
master thesis 2019
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Hijner, Anne Mijntje (author)
In order for public transportation to remain an attractive travel option, its reliability must be improved. To enable this, extensive knowledge on the passenger delay phenomenon is necessary. This study explores the possibility of using empirical data of passenger delay to determine the relationships between stations through a Bayesian Network...
master thesis 2019
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Radityo Andjaringrat Adhi, Theo (author)
Maturity model has proven to be helpful for an organization to identify its current capability, strength, and weaknesses through maturity levels. These levels are used to rank the various dimension or process of an organization. However, maturity levels only describe a general description of organization capability. The effect of different...
master thesis 2019
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Mohammad Ammar Faiq, Ammar (author)
Cardiovascular diseases are considered as one the deadliest disease and have also been the most prominent health burden around the world and particularly in the Netherlands. Enormously mitigation has been done to reduce the death burden, by improving the quality of health care services and research related to cardiovascular diseases. One...
master thesis 2019
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Ritu Raj, Ritu (author)
Today, Oil and gas industry is fulfilling the world’s energy need, but while doing so, it is also facing challenges due to volatile crude oil price and global warming concerns. This puts emphasis on cost optimization to increase the profit margin and avoid any cost leakages. The logistics and distribution domain always remained important for...
master thesis 2019
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Niazi, Muhammad Hassan Khan (author)
The increasing frequency and intensity of extreme events due to global warming and climate change is increasing flood risk. To act, rather than react, nature-based solutions (NBS) involving vegetation and wetlands are being explored on top of conventional solutions like dikes. WHY? There was a dire need for global study quantifying the potential...
master thesis 2019
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van Dijk, Max (author)
In this thesis Bayesian Networks are used to predict European football matches between the years 2008 and 2016. The goal of this research is to see how the structures learned by different Bayesian Network learning algorithms influences the predictions. First the data is explored and modified to be used for Bayesian Networks and secondly the...
bachelor thesis 2019
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Ochalhi, Redouan (author)
In this thesis, attention is paid to building different Bayesian networks. You can think of aspects such as parameter learning, search procedures and score functions. In addition, a distinction is made between the use of Discrete Bayesian Networks and Gaussian Networks. These models both have different assumptions which are also discussed. Finally...
bachelor thesis 2019
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