Capacitance Estimation for DC-link Capacitors in a Back-to-Back Converter Based on Artificial Neural Network Algorithm

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

Abstract

The reliability of dc-link capacitors in power electronic converters is one of the critical aspects to be considered in modern power converter design. The
observation of their ageing process and the estimation of their health status have been an attractive subject for the industrial field and hence for the academic research field as well. The existing condition monitoring methods suffer from shortcomings such as low estimation accuracy, extra hardware, and also increased cost. Therefore, the developed methods of condition monitoring that are based on software solutions and algorithms could be the way out of the aforementioned challenges and shortcomings. In this paper, a pure software condition monitoring method based on Artificial Neural Network (ANN) algorithm is proposed. The implemented ANN estimates the capacitance of the dc-link capacitor in a back-to-back converter. The error analysis of the estimated results is also studied. The developed ANN algorithm has been implemented in a Digital Signal Processor (DSP) in order to have a proof of concept of the proposed method.
Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia).
Number of pages7
Place of PublicationHefei, China.
PublisherIEEE Press
Publication dateMay 2016
Pages1-7
ISBN (Print)978-1-5090-1210-7
DOIs
Publication statusPublished - May 2016
Event2016 8th International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia) - Hefei, China
Duration: 22 May 201625 May 2016

Conference

Conference2016 8th International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia)
CountryChina
CityHefei
Period22/05/201625/05/2016

Fingerprint

Condition monitoring
Capacitors
Capacitance
Neural networks
Digital signal processors
Power converters
Power electronics
Error analysis
Aging of materials
Health
Hardware
Costs

Cite this

Soliman, H. A. H., Wang, H., & Blaabjerg, F. (2016). Capacitance Estimation for DC-link Capacitors in a Back-to-Back Converter Based on Artificial Neural Network Algorithm. In Proceedings of the 2016 IEEE International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia). (pp. 1-7). Hefei, China.: IEEE Press. https://doi.org/10.1109/IPEMC.2016.7512885
Soliman, Hammam Abdelaal Hammam ; Wang, Huai ; Blaabjerg, Frede. / Capacitance Estimation for DC-link Capacitors in a Back-to-Back Converter Based on Artificial Neural Network Algorithm. Proceedings of the 2016 IEEE International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia).. Hefei, China. : IEEE Press, 2016. pp. 1-7
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title = "Capacitance Estimation for DC-link Capacitors in a Back-to-Back Converter Based on Artificial Neural Network Algorithm",
abstract = "The reliability of dc-link capacitors in power electronic converters is one of the critical aspects to be considered in modern power converter design. Theobservation of their ageing process and the estimation of their health status have been an attractive subject for the industrial field and hence for the academic research field as well. The existing condition monitoring methods suffer from shortcomings such as low estimation accuracy, extra hardware, and also increased cost. Therefore, the developed methods of condition monitoring that are based on software solutions and algorithms could be the way out of the aforementioned challenges and shortcomings. In this paper, a pure software condition monitoring method based on Artificial Neural Network (ANN) algorithm is proposed. The implemented ANN estimates the capacitance of the dc-link capacitor in a back-to-back converter. The error analysis of the estimated results is also studied. The developed ANN algorithm has been implemented in a Digital Signal Processor (DSP) in order to have a proof of concept of the proposed method.",
author = "Soliman, {Hammam Abdelaal Hammam} and Huai Wang and Frede Blaabjerg",
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Soliman, HAH, Wang, H & Blaabjerg, F 2016, Capacitance Estimation for DC-link Capacitors in a Back-to-Back Converter Based on Artificial Neural Network Algorithm. in Proceedings of the 2016 IEEE International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia).. IEEE Press, Hefei, China., pp. 1-7, 2016 8th International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia) , Hefei, China, 22/05/2016. https://doi.org/10.1109/IPEMC.2016.7512885

Capacitance Estimation for DC-link Capacitors in a Back-to-Back Converter Based on Artificial Neural Network Algorithm. / Soliman, Hammam Abdelaal Hammam; Wang, Huai; Blaabjerg, Frede.

Proceedings of the 2016 IEEE International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia).. Hefei, China. : IEEE Press, 2016. p. 1-7.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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T1 - Capacitance Estimation for DC-link Capacitors in a Back-to-Back Converter Based on Artificial Neural Network Algorithm

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AB - The reliability of dc-link capacitors in power electronic converters is one of the critical aspects to be considered in modern power converter design. Theobservation of their ageing process and the estimation of their health status have been an attractive subject for the industrial field and hence for the academic research field as well. The existing condition monitoring methods suffer from shortcomings such as low estimation accuracy, extra hardware, and also increased cost. Therefore, the developed methods of condition monitoring that are based on software solutions and algorithms could be the way out of the aforementioned challenges and shortcomings. In this paper, a pure software condition monitoring method based on Artificial Neural Network (ANN) algorithm is proposed. The implemented ANN estimates the capacitance of the dc-link capacitor in a back-to-back converter. The error analysis of the estimated results is also studied. The developed ANN algorithm has been implemented in a Digital Signal Processor (DSP) in order to have a proof of concept of the proposed method.

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Soliman HAH, Wang H, Blaabjerg F. Capacitance Estimation for DC-link Capacitors in a Back-to-Back Converter Based on Artificial Neural Network Algorithm. In Proceedings of the 2016 IEEE International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia).. Hefei, China.: IEEE Press. 2016. p. 1-7 https://doi.org/10.1109/IPEMC.2016.7512885