Reliability enhance powertrain using fuzzy knowledge base prognostics model

Alirza Alghassi, Payam Soulatiantork, Mohammad Samie, Suresh Perinpanayagam, Marco Faifer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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).

Original languageEnglish
Title of host publication2015 17th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789075815221
DOIs
Publication statusPublished - 27 Oct 2015
Externally publishedYes
Event17th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2015 - Geneva, Switzerland
Duration: 08 Sept 201510 Sept 2015

Conference

Conference17th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2015
Country/TerritorySwitzerland
CityGeneva
Period08/09/201510/09/2015

ASJC Scopus subject areas

  • Fuel Technology
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

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