• DocumentCode
    271290
  • Title

    A new teaching tool for fault detection in the induction machine

  • Author

    Assunção, Renato ; Delgado-Gomes, Vasco ; Fernao Pires, V. ; Martins, J.F.

  • Author_Institution
    Fac. of Sci. & Technol., Univ. Nova de Lisboa, Lisbon, Portugal
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    2190
  • Lastpage
    2195
  • Abstract
    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.
  • Keywords
    asynchronous machines; computer aided instruction; educational aids; fault diagnosis; student experiments; user interfaces; bearing fault; electrical machine diagnosis; engineer; fault detection; fault testing; faulty operation mode; human machine interface; induction machine; induction machine control; practical experience; stator winding fault; student; teaching institutions; teaching tool; Circuit faults; Education; Fault detection; Fault diagnosis; Induction motors; Software; education; fault diagnosis; induction machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISIE.2014.6864957
  • Filename
    6864957