Work

Electromagnetic and vibration finite element model for early fault detection in permanent magnet machine

Year: 2018

Type: article

Abstract: Electrical machines are integrated widely in novel applications like hybrid electric vehicles. The field of machine prognosis is expending and evolving rapidly. It aims to assure the proper operation of the machine. Finite element model is the best way to model and optimize electrical machine. In this paper, we will take advantage of the accuracy of finite element method to generate the electromagnetic and vibration model of electrical machine in healthy state and faulty state. We aim to observe the performance of the machine in the two cases and extract a useful measured parameter that will be beneficial in fault prognosis.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2018.09.682

Authors: R. Ginzarly, G. Hoblos, N. Moubayed

Institutions: École Supérieure d'Ingénieurs en Génie Électrique, Institut de Recherche en Systèmes Electroniques Embarqués, Université de Rouen Normandie, Lebanese University

Language: English

Topic: Electric Motor Design and Analysis

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funders: European Commission, Région Normandie

OpenAlex ID: W2897976331

FWCI: 0.479

Cites: 14

Cited by: 7

Related to: 10