publication . Article . Other literature type . 2019

A System Engineering Approach Using FMEA and Bayesian Network for Risk Analysis—A Case Study

Sima Rastayesh; Sajjad Bahrebar; Frede Blaabjerg; John Dalsgaard Sørensen; Huai Wang; Dao Zhou;
Open Access English
  • Published: 20 Dec 2019 Journal: Sustainability, volume 12, issue 1, page 77 (eissn: 2071-1050, Copyright policy)
  • Country: Denmark
Abstract
failure due to high leakage current owing to substrate interface, which is caused by high temperature. The results are emphasizing design improvement in the material in order to be more resistant from high temperature.
Persistent Identifiers
Subjects
ACM Computing Classification System: Hardware_INTEGRATEDCIRCUITSHardware_PERFORMANCEANDRELIABILITYHardware_GENERAL
free text keywords: Bayesian network, Failure mode and effect analysis, Proton exchange membrane fuel cell, Power conditioner, Risk analysis, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development, Management, Monitoring, Policy and Law, Gate oxide, MOSFET, Computer science, Failure mode and effects analysis, Overvoltage, Field-effect transistor, Leakage (electronics), Capacitor, law.invention, law, Systems engineering
Funded by
EC| INFRASTAR
Project
INFRASTAR
Innovation and Networking for Fatigue and Reliability Analysis of Structures - Training for Assessment of Risk
  • Funder: European Commission (EC)
  • Project Code: 676139
  • Funding stream: H2020 | MSCA-ITN-ETN
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