Title :
Supply invariant induction machine condition monitoring
Author :
Arthur, N. ; Penman, J.
Author_Institution :
Aberdeen Univ., UK
Abstract :
This paper examines the use of third-order statistical measures as an induction machine condition monitoring tool. It is demonstrated that these third-order measures improve on traditional fault detection techniques and unambiguously detect single and combined fault conditions in an induction machine fed from fixed and variable frequency supplies
Keywords :
asynchronous machines; combined fault conditions detection; condition monitoring tool; fault detection techniques; induction machine; single fault conditions detection; third-order statistical measures;
Conference_Titel :
Electrical Machines and Drives, 1997 Eighth International Conference on (Conf. Publ. No. 444)
Conference_Location :
Cambridge
Print_ISBN :
0-85296-696-2
DOI :
10.1049/cp:19971095