Risk Assessment Approach for EM Resilience in Complex Systems Using Bayesian Networks
Date
2021-08
Authors
Devaraj, Lokesh
Ruddle, Alastair
Duffy, Alistair
Martin, Anthony
Journal Title
Journal ISSN
ISSN
Volume Title
Publisher
IEEE
Peer reviewed
Yes
Abstract
Current trends in the automotive industry are
reshaping the architectures and electromagnetic characteristics
of road vehicles. Increasing electrification and connectivity are
enabling considerable packaging flexibility and leading to
radically different electromagnetic environments. At the same
time, increasing automation of driving functions will require
unprecedented levels of system dependability. However, existing
EMC engineering processes were developed in a very different
world of low system complexity and incremental technological
development. In order to adapt to rising system complexity and
the increasingly rapid pace of technological change, it is
considered that a more agile risk-based approach is better suited
to ensure the electromagnetic resilience of future vehicles and
other complex systems. This paper outlines a Bayesian network
approach that allows the combination of both technical and nontechnical
aspects in assessing the likelihood of issues that could
lead to system-level risks. This approach could be used from the
earliest stages of product development, where the detailed
information required to undertake detailed risk assessment is
generally unavailable.
Description
Keywords
Automotive, Bayesian Network, EM resilience, likelihood estimation, risk assessment
Citation
Devaraj, L., Ruddle, A.R., Duffy, A.P., Martin, A.J.M. (2021) Risk Assessment Approach for EM Resilience in Complex Systems Using Bayesian Networks. Joint International Symposium on Electromagnetic Compatibility and Signal and Power Integrity and EMC Europe, Glasgow, UK, August 2021.
Research Institute
Institute of Engineering Sciences (IES)