• 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3680912