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
Link To Document