DocumentCode :
1901924
Title :
A novel non-invasive method for detecting missing wedges in an induction machine
Author :
Orman, Maciej ; Nowak, Alexander ; Ottewill, James R. ; Pinto, Cajetan T.
fYear :
2013
fDate :
27-30 Aug. 2013
Firstpage :
2
Lastpage :
206
Abstract :
This paper presents a newly developed algorithm for evaluating the health of an induction machine. The proposed algorithm is based on spectrum analysis of an impedance calculated using measured stator current and voltage signals. The main idea is to calculate the frequency spectrum of the impedance for each power phase and compare specific differences between phases. Experimental investigations show that the method yields very accurate results and can form an important part of a machine monitoring system. In particular the presented method is shown to be successful in detecting missing wedges in electric motors.
Keywords :
electric current measurement; induction motors; monitoring; shapes (structures); spectral analysers; stators; voltage measurement; electric motor; frequency spectrum analysis; health evaluation; impedance calculation; induction machine; machine monitoring system; missing wedge detection; noninvasive method; stator current measurement; voltage signal measurement; Current measurement; Frequency measurement; Impedance; Impedance measurement; Loading; Rotors; Voltage measurement; impedance; induction machine; machine monitoring; magnetic wedges;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
Conference_Location :
Valencia
Type :
conf
DOI :
10.1109/DEMPED.2013.6645717
Filename :
6645717
Link To Document :
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