EMI Risk Estimation for System-Level Functions Using Probabilistic Graphical Models

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dc.cclicenceCC-BY-NCen
dc.contributor.authorDevaraj, Lokesh
dc.contributor.authorRuddle, Alastair
dc.contributor.authorDuffy, A. P.
dc.date.accessioned2021-12-09T16:35:59Z
dc.date.available2021-12-09T16:35:59Z
dc.date.issued2021-10-19
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractIn general, the functions provided by complex systems often involve multiple sub-systems and components that are functionally dependent on each other. The dependency could be to receive power, control signals, input data, memory storage, feedback etc. With the increasing use of electronic systems to perform critical functions, the potential for malfunctions due to electromagnetic interference need to be identified and mitigated. Hence, a risk analysis, estimating the likelihood and severity of electromagnetic interference effects, is desirable from the very early stages of system development. In this paper, the use of probabilistic graphical models for estimating the likelihood of electromagnetic disturbances causing system malfunctions with various degrees of severity is demonstrated using a very simple case study. Statistical data are synthesised to illustrate the construction of conditional probability distribution tables for a Bayesian Network system model. Factorization and inference techniques are then applied to demonstrate the formulation and answer of queries that could be of value during system risk assessment.en
dc.funderEuropean Union (EU) Horizon 2020en
dc.identifier.citationDevaraj, L., Ruddle, A. R. and Duffy, A. P. (2021) EMI Risk Estimation for System-Level Functions Using Probabilistic Graphical Models. Proceedings of IEEE International Joint EMC/SI/PI and EMC Europe Symposium, 2021, October 2021, pp. 851-856.en
dc.identifier.doihttps://doi.org/10.1109/EMC/SI/PI/EMCEurope52599.2021.9559291
dc.identifier.isbn9781665448888
dc.identifier.urihttps://hdl.handle.net/2086/21533
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidPETERen
dc.publisherIEEEen
dc.researchinstituteInstitute of Engineering Sciences (IES)en
dc.subjectrisk analysisen
dc.subjectprobabilistic graphical modelsen
dc.subjectBayesian networken
dc.subjectfailure analysisen
dc.subjectelectromagnetic interferenceen
dc.titleEMI Risk Estimation for System-Level Functions Using Probabilistic Graphical Modelsen
dc.typeConferenceen

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