Prognostic System for Power Modules in Converter Systems Using Structure Function
This paper proposes an on-board methodology for monitoring the health of power converter modules in drive systems, using vector control heating and structure function to check for degradation. It puts forward a system that is used on-board to measure the cooling curve and derive the structure functi...
| Main Authors: | , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers
2018
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| Online Access: | https://eprints.nottingham.ac.uk/46560/ |
| _version_ | 1848797354600169472 |
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| author | Aliyu, Attahir Murtala Castellazzi, Alberto |
| author_facet | Aliyu, Attahir Murtala Castellazzi, Alberto |
| author_sort | Aliyu, Attahir Murtala |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper proposes an on-board methodology for monitoring the health of power converter modules in drive systems, using vector control heating and structure function to check for degradation. It puts forward a system that is used on-board to measure the cooling curve and derive the structure function during idle times for maintenance purposes. The structure function is good tool for tracking the magnitude and location of degradation in power modules. The ability to keep regular track of the actual degradation level of the modules enables the adoption of preventive maintenance, reducing or even eliminating altogether the appearance of failures during operation, significantly improving the availability of the power devices. The novelty in this work is the complete system that is used to achieve degradation monitoring; combining the heating technique and the measurement without additional power components except the measurement circuit which can be integrated into the gate drive board and the challenges encountered. Experimental results obtained from this show that it is possible to implement an on-board health monitoring system in converters which measures the degradation on power modules. |
| first_indexed | 2025-11-14T20:02:33Z |
| format | Article |
| id | nottingham-46560 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:02:33Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-465602020-05-04T19:52:48Z https://eprints.nottingham.ac.uk/46560/ Prognostic System for Power Modules in Converter Systems Using Structure Function Aliyu, Attahir Murtala Castellazzi, Alberto This paper proposes an on-board methodology for monitoring the health of power converter modules in drive systems, using vector control heating and structure function to check for degradation. It puts forward a system that is used on-board to measure the cooling curve and derive the structure function during idle times for maintenance purposes. The structure function is good tool for tracking the magnitude and location of degradation in power modules. The ability to keep regular track of the actual degradation level of the modules enables the adoption of preventive maintenance, reducing or even eliminating altogether the appearance of failures during operation, significantly improving the availability of the power devices. The novelty in this work is the complete system that is used to achieve degradation monitoring; combining the heating technique and the measurement without additional power components except the measurement circuit which can be integrated into the gate drive board and the challenges encountered. Experimental results obtained from this show that it is possible to implement an on-board health monitoring system in converters which measures the degradation on power modules. Institute of Electrical and Electronics Engineers 2018-01 Article PeerReviewed Aliyu, Attahir Murtala and Castellazzi, Alberto (2018) Prognostic System for Power Modules in Converter Systems Using Structure Function. IEEE Transactions on Power Electronics, 33 (1). pp. 595-605. ISSN 1941-0107 http://ieeexplore.ieee.org/document/7862288/ doi:10.1109/TPEL.2017.2672823 doi:10.1109/TPEL.2017.2672823 |
| spellingShingle | Aliyu, Attahir Murtala Castellazzi, Alberto Prognostic System for Power Modules in Converter Systems Using Structure Function |
| title | Prognostic System for Power Modules in Converter Systems Using Structure Function |
| title_full | Prognostic System for Power Modules in Converter Systems Using Structure Function |
| title_fullStr | Prognostic System for Power Modules in Converter Systems Using Structure Function |
| title_full_unstemmed | Prognostic System for Power Modules in Converter Systems Using Structure Function |
| title_short | Prognostic System for Power Modules in Converter Systems Using Structure Function |
| title_sort | prognostic system for power modules in converter systems using structure function |
| url | https://eprints.nottingham.ac.uk/46560/ https://eprints.nottingham.ac.uk/46560/ https://eprints.nottingham.ac.uk/46560/ |