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Lookup NU author(s): Zheng Liu, Dr Wenping Cao, Professor Gui Yun TianORCiD, Professor James Kirtley Jr
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© 2016 IEEE. Non-intrusive monitoring of health state of induction machines within industrial process and harsh environments poses a technical challenge. In the field, winding failures are a major fault accounting for over 45% of total machine failures. In the literature, many condition monitoring techniques based on different failure mechanisms and fault indicators have been developed where the machine current signature analysis (MCSA) is a very popular and effective method at this stage. However, it is extremely difficult to distinguish different types of failures and hard to obtain local information if a non-intrusive method is adopted. Typically, some sensors need to be installed inside the machines for collecting key information, which leads to disruption to the machine operation and additional costs. This paper presents a new non-invasive monitoring method based on GMRs to measure stray flux leaked from the machines. It is focused on the influence of potential winding failures on the stray magnetic flux in induction machines. Finite element analysis and experimental tests on a 1.5-kW machine are presented to validate the proposed method. With time-frequency spectrogram analysis, it is proven to be effective to detect several winding faults by referencing stray flux information. The novelty lies in the implement of GMR sensing and analysis of machine faults.
Author(s): Liu Z, Cao W, Huang P-H, Tian G-Y, Kirtley JL
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Power and Energy Society Meeting (PESGM) 2016
Year of Conference: 2016
Online publication date: 14/11/2016
Acceptance date: 02/04/2016
Publisher: IEEE Computer Society
URL: http://doi.org/10.1109/PESGM.2016.7741486
DOI: 10.1109/PESGM.2016.7741486
Library holdings: Search Newcastle University Library for this item
ISBN: 9781509041688
