DocumentCode :
3680912
Title :
Reliability enhance powertrain using fuzzy knowledge base prognostics model
Author :
Alirza Alghassi;Payam Soulatiantork;Mohammad Samie;Suresh Perinpanayagam;Marco Faifer
Author_Institution :
School of Aerospace, Transport and Manufacturing, Cranfield University, Bedford, UK
fYear :
2015
Firstpage :
1
Lastpage :
9
Abstract :
The aim of this paper is to develop a real time conditional monitoring of the inverter based on IGBT. IGBT failure model has been developed by using fuzzy logic that adapts prognostic model with the fuzzy nature of failure mechanism. In this way it is possible to efficiently estimate the remaining useful life (RUL) of Insulated Gate Bipolar Transistor (IGBT).
Keywords :
"Insulated gate bipolar transistors","Degradation","Inverters","Wires","Reliability","Failure analysis"
Publisher :
ieee
Conference_Titel :
Power Electronics and Applications (EPE´15 ECCE-Europe), 2015 17th European Conference on
Type :
conf
DOI :
10.1109/EPE.2015.7311768
Filename :
7311768
Link To Document :
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