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Bayesian networks applied to ESP performance monitoring and forecasting

Dussi, S. (author), Octaviano, R. (author), Shoeibi Omrani, P.S. (author)

Predicting the degradation of the Electrical Submersible Pumps (ESP) performance well in advance to avoid its failure is a rewarding yet challenging task. The complex interdependencies with well-reservoir properties and between machine components influence ESP performance and ultimately can lead to different types of failure. Predictions based...

conference paper 2022

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Effect of multiple traffic information sources on route choice: A driving simulator study

Imants, P. (author), Theeuwes, J. (author), Bronkhorst, A.W. (author), Martens, M.H. (author)

With the arrival of new technologies more en-route traffic information sources have become available, especially in-car information sources. The aim of this study is to gain more insight into the effect of multiple, and possibly conflicting, sources of information on route choice and driver behaviour. In a driving simulator experiment,...

article 2021

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An integration of human factors into quantitative risk analysis using Bayesian Belief Networks towards developing a ‘QRA+’

Steijn, W.M.P. (author), van Kampen, J.N. (author), van der Beek, D. (author), Groeneweg, J. (author), van Gelder, P.H.A.J.M. (author)

Quantitative Risk Analysis (QRA) is a standard tool in some high-risk industries (such as the on- and offshore exploration and production and chemical industry). Presently, existing knowledge concerning human error likelihood and human reliability assessment is insufficiently represented in QRAs. In this paper we attempt to implement the...

article 2020

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Hybrid Helmholtz machines a gate-based quantum circuit implementation

van Dam, T.J. (author), Neumann, N.M.P. (author), Phillipson, F. (author), van den Berg, H. (author)

article 2020

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BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks

Paprotny, D (author), Morales-Nápoles, (author), Worm, D.T.H. (author), Ragno, E. (author)

article 2020

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Levee system reliability modeling The length effect and Bayesian updating

Roscoe, K. (author), Hanea, A. (author), Jongejan, R. (author), Vrouwenvelder, T. (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...

article 2020

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Bayesian network based probabilistic model for optimized inspection intervals for offshore wind turbine support structures

Nicoreac, M.P. (author), Courage, W.M.G. (author), Kempker, P.L. (author)

The support structures of offshore wind turbines (OWTs) are difficult to inspect due to the environmental conditions and difficult access to structural parts. The inspection and maintenance cost are therefore high, providing a good motivation for further optimizing the planning and costs for these actions. In the context of the FeLoSeFI project,...

article 2020

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Assisted Diagnostics Methodology for Complex High-Tech Applications

Velikova, M. (author), Ypma, A. (author), Bratosin, C. (author), Lemmen, V. (author), van Wijk, R.J. (author)

Controlling the operations and resolving product performance issues in today’s high-tech production systems, such as semiconductor fabs, becomes a cumbersome task, even for experienced field engineers. To address the pressing need for assisted diagnostics approaches, in this paper we propose a model-based step-wise methodology, based on domain...

conference paper 2019

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A network-based approach for identifying suitable biomarkers for oral immunotherapy of food allergy

van Bilsen, J.H.M. (author), Verschuren, L. (author), Wagenaar, L. (author), Vonk, M.M. (author), van Esch, B.C.A.M. (author), Knippels, L.M.J. (author), Garssen, J. (author), Smit, J.J. (author), Pieters, R.H.H. (author), van den Broek, T.J. (author)

Background: Oral immunotherapy (OIT) is a promising therapeutic approach to treat food allergic patients. However, concerns with regards to safety and long-term efficacy of OIT remain. There is a need to identify biomarkers that predict, monitor and/or evaluate the effects of OIT. Here we present a method to select candidate biomarkers for...

article 2019

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A nanomaterial release model for waste shredding using a Bayesian belief network

Shandilya, N. (author), Ligthart, T. (author), van Voorde, I. (author), Stahlmecke, B. (author), Clavaguera, S. (author), Philippot, C. (author), Goede, H. (author)

The shredding of waste of electrical and electronic equipment (WEEE) and other products, incorporated with nanomaterials, can lead to a substantial release of nanomaterials. Considering the uncertainty, complexity, and scarcity of experimental data on release, we present the development of a Bayesian belief network (BBN) model. This baseline...

article 2018

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An extended protocol for usability validation of medical devices: Research design and reference model

Schmettow, M. (author), Schnittker, R. (author), Schraagen, J.M. (author)

This paper proposes and demonstrates an extended protocol for usability validation testing of medical devices. A review of currently used methods for the usability evaluation of medical devices revealed two main shortcomings. Firstly, the lack of methods to closely trace the interaction sequences and derive performance measures. Secondly, a...

article 2017

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A Two-Dimension Dynamic Bayesian Network for Large-Scale Degradation Modeling with an Application to a Bridges Network

Kosgodagan-Dalla Torre, A. (author), Yeung, T.G. (author), Morales-Nápoles, O. (author), Castanier, B. (author), Maljaars, J. (author), Courage, W. (author)

Modeling the stochastic evolution of a large-scale fleet or network generally proves to be challenging. This difficulty may be compounded through complex relationships between various assets in the network. Although a great number of probabilistic graph-based models (e.g., Bayesian networks) have been developed recently to describe the behavior...

article 2017

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Inspection and maintenance optimization for OWT’s using Bayesian networks

Courage, W.M.G. (author), Nicoreac, M.P. (author), Kempker, P.L. (author)

For offshore wind turbines (OWT’s) environmental and accessibility conditions make inspection and maintenance costly. Hence the potential of cost reduction when the planning of these actions can be optimized. Taking uncertainties into account, a risk based concept is adopted in which probabilities of failure and its consequences are balanced...

conference paper 2017

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Maintenance decision model for steel bridges: a case in the Netherlands

Attema, T. (author), Kosgodagan Acharige, A. (author), Morales Nápoles, O. (author), Maljaars, J. (author)

A probabilistic model is developed to investigate the crack growth development in welded details of orthotropic bridge decks. Bridge decks may contain many of these vulnerable details and bridge reliability cannot always be guaranteed upon the attainment of a critical crack. Therefore, insight into the crack growth development is crucial in...

article 2017

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3-D reconstruction of sub-wavelength scatterers from the measurement of scattered fields in elastic waveguides

Moreau, L. (author), Hunter, A.J. (author), Velichko, A. (author), Wilcox, P.D. (author)

In nondestructive testing, being able to remotely locate and size defects with good accuracy is an important requirement in many industrial sectors, such as the petrochemical, nuclear, and aerospace industries. The potential of ultrasonic guided waves is well known for this type of problem, but interpreting the measured data and extracting...

article 2014

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Advanced REACH tool: A Bayesian model for occupational exposure assessment

McNally, K. (author), Warren, N. (author), Fransman, W. (author), Entink, R.K. (author), Schinkel, J. (author), Van Tongeren, M. (author), Cherrie, J.W. (author), Kromhout, H. (author), Schneider, T. (author), Tielemans, E. (author)

This paper describes a Bayesian model for the assessment of inhalation exposures in an occupational setting; the methodology underpins a freely available web-based application for exposure assessment, the Advanced REACH Tool (ART). The ART is a higher tier exposure tool that combines disparate sources of information within a Bayesian statistical...

article 2014

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Large-scale hybrid Bayesian network for traffic load modeling from weigh-in-motion system data

Morales-Nápoles, O. (author), Steenbergen, R.D.J.M. (author)

Traffic load plays an important role not only in the design of new bridges but also in the reliability assessment of existing structures. Weigh-in-motion systems are used to collect data to determine traffic loads. In this paper, the potential of hybrid nonparametric Bayesian networks (BNs) is demonstrated for modeling the complex data measured...

article 2014

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Bayesian belief networks in business continuity

Phillipson, F. (author), Matthijssen, E.F. (author), Attema, T. (author)

Business continuity professionals try to deal with multiple aspects which influence the continuity of a company. The key product is a coherent system of measures which encompass detection, prevention and recovery. Choices made in one element of the system affect other elements as well as the continuity risks of the company. In complex...

article 2014

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Analysis of axle and vehicle load properties through Bayesian networks based on weigh-in-motion data

Morales Napoles, O. (author), Steenbergen, R.D.J.M. (author)

Weigh-in-Motion (WIM) systems are used, among other applications, in pavement and bridge reliability. The system measures quantities such as individual axle load, vehicular loads, vehicle speed, vehicle length and number ofaxles. Because ofthe nature ofúamc configuration, the quantities measured are evidently regarded as random variables. The...

article 2014

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Updating piping reliability with field performance observations

Schweckendiek, T. (author), Vrouwenvelder, A.C.W.M. (author), Calle, E.O.F. (author)

Flood defenses are crucial elements in flood risk mitigation in developed countries, especially in deltaic areas. In the Netherlands, the VNK2 project is currently analyzing the reliability of all primary flood defenses as part of a nationwide flood risk analysis. In this project, as in most other reliability analyses of flood defenses, prior...

article 2014