A new teaching tool for fault detection in the induction machine

Renato Assunção, Vasco Delgado-Gomes, V. Fernão Pires, João Francisco Alves Martins

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


The study of fault detection and diagnosis of electrical machines is nowadays a very important issue, particularly regarding induction machines. However giving students or engineers practical experience in this field requires a large investment from teaching institutions. This paper presents an experimental system used to provide students or engineers with some practical experience in induction machine's fault detection. The major advantage of the described tool is that it can work with a standard healthy induction machine. This system is based on only one machine that will be operated under faulty operation modes, allowing testing several fault types, such as stator winding faults, bearing faults or broken bars. A human machine interface with several options is also presented. This interface allows not only controlling the induction machine but also to perform some learning exercises as well providing documentation about the induction machine and fault detection procedures.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Symposium on Industrial Electronics
Publication statusPublished - 2014
EventIEEE 23rd International Symposium on Industrial Electronics (ISIE2014) -
Duration: 1 Jan 2014 → …


ConferenceIEEE 23rd International Symposium on Industrial Electronics (ISIE2014)
Period1/01/14 → …


  • education
  • fault diagnosis
  • induction machine


Dive into the research topics of 'A new teaching tool for fault detection in the induction machine'. Together they form a unique fingerprint.

Cite this