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- Publisher Website: 10.1109/JSEN.2019.2918018
- Scopus: eid_2-s2.0-85071035280
- WOS: WOS:000481964500013
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Article: Inter-Turn Short-Circuit Fault Detection Approach for Permanent Magnet Synchronous Machines Through Stray Magnetic Field Sensing
Title | Inter-Turn Short-Circuit Fault Detection Approach for Permanent Magnet Synchronous Machines Through Stray Magnetic Field Sensing |
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Authors | |
Keywords | Inter-turn short-circuit faults Online fault detection Permanent magnet synchronous machine (PMSM) Stray magnetic field Tunneling magnetoresistive (TMR) sensors |
Issue Date | 2019 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361 |
Citation | IEEE Sensors Journal, 2019, v. 19 n. 18, p. 7884-7895 How to Cite? |
Abstract | Fast online detection of inter-turn short-circuit faults for permanent magnet synchronous machines (PMSMs) is a challenging task. Previous attempts based on phase currents or back EMF monitoring lack the capability to accurately locate the inter-turn short-circuit faults in stator windings. This work proposed a new approach to online inter-turn short-circuit fault detection for PMSMs by means of sensing the external stray magnetic field outside the motor stator yoke. The stray magnetic field provides the information about the phase currents as well as the status of stator windings; thus, the location of inter-turn short-circuit fault can be detected accordingly. In this work, the inter-turn short-circuit model and the stray magnetic flux model for PMSMs were theoretically analyzed. Both FEM simulations and experiments have been presented to validate the effectiveness of the proposed approach. A sensor array composed of 24 sensitive tunneling magnetoresistive (TMR) sensor units was employed to measure the stray magnetic field distribution outside the PMSM stator yoke. The experimental results show that both the location and severity of the inter-turn short-circuit fault in PMSMs were effectively detected using the proposed approach. |
Persistent Identifier | http://hdl.handle.net/10722/272187 |
ISSN | 2023 Impact Factor: 4.3 2023 SCImago Journal Rankings: 1.084 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liu, X | - |
dc.contributor.author | Miao, W | - |
dc.contributor.author | Xu, Q | - |
dc.contributor.author | Cao, L | - |
dc.contributor.author | Liu, C | - |
dc.contributor.author | Pong, PWT | - |
dc.date.accessioned | 2019-07-20T10:37:22Z | - |
dc.date.available | 2019-07-20T10:37:22Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | IEEE Sensors Journal, 2019, v. 19 n. 18, p. 7884-7895 | - |
dc.identifier.issn | 1530-437X | - |
dc.identifier.uri | http://hdl.handle.net/10722/272187 | - |
dc.description.abstract | Fast online detection of inter-turn short-circuit faults for permanent magnet synchronous machines (PMSMs) is a challenging task. Previous attempts based on phase currents or back EMF monitoring lack the capability to accurately locate the inter-turn short-circuit faults in stator windings. This work proposed a new approach to online inter-turn short-circuit fault detection for PMSMs by means of sensing the external stray magnetic field outside the motor stator yoke. The stray magnetic field provides the information about the phase currents as well as the status of stator windings; thus, the location of inter-turn short-circuit fault can be detected accordingly. In this work, the inter-turn short-circuit model and the stray magnetic flux model for PMSMs were theoretically analyzed. Both FEM simulations and experiments have been presented to validate the effectiveness of the proposed approach. A sensor array composed of 24 sensitive tunneling magnetoresistive (TMR) sensor units was employed to measure the stray magnetic field distribution outside the PMSM stator yoke. The experimental results show that both the location and severity of the inter-turn short-circuit fault in PMSMs were effectively detected using the proposed approach. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361 | - |
dc.relation.ispartof | IEEE Sensors Journal | - |
dc.subject | Inter-turn short-circuit faults | - |
dc.subject | Online fault detection | - |
dc.subject | Permanent magnet synchronous machine (PMSM) | - |
dc.subject | Stray magnetic field | - |
dc.subject | Tunneling magnetoresistive (TMR) sensors | - |
dc.title | Inter-Turn Short-Circuit Fault Detection Approach for Permanent Magnet Synchronous Machines Through Stray Magnetic Field Sensing | - |
dc.type | Article | - |
dc.identifier.email | Liu, C: chhualiu@hku.hk | - |
dc.identifier.email | Pong, PWT: ppong@hkucc.hku.hk | - |
dc.identifier.authority | Liu, C=rp01815 | - |
dc.identifier.authority | Pong, PWT=rp00217 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/JSEN.2019.2918018 | - |
dc.identifier.scopus | eid_2-s2.0-85071035280 | - |
dc.identifier.hkuros | 299235 | - |
dc.identifier.volume | 19 | - |
dc.identifier.issue | 18 | - |
dc.identifier.spage | 7884 | - |
dc.identifier.epage | 7895 | - |
dc.identifier.isi | WOS:000481964500013 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1530-437X | - |