Open AccessImproving Risk Analysis Capability of FMEA Using Evaluation Based On Distance From Average Solution (EDAS): A Case Study of Turbocharger System
Author(s) -
Ikuobase Emovon
Publication year - 2018
Publication title -
journal of mechanical and energy engineering
Language(s) - English
Resource type - Journals
eISSN - 2544-1671
pISSN - 2544-0780
DOI - 10.30464/jmee.2018.2.1.13
Subject(s) - edas , failure mode and effects analysis , turbocharger , risk analysis (engineering) , computer science , reliability engineering , risk management , reliability (semiconductor) , engineering , artificial intelligence , estimation of distribution algorithm , mechanical engineering , medicine , power (physics) , physics , management , turbine , quantum mechanics , economics