Condition Monitoring for DC-link Capacitors Based on Artificial Neural Network Algorithm

Hammam Abdelaal Hammam Soliman, Huai Wang, Brwene Salah Abdelkarim Gadalla, Frede Blaabjerg

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

20 Citations (Scopus)

Abstract

In power electronic systems, capacitor is one of the reliability critical components . Recently, the condition monitoring of capacitors to estimate their health status have been attracted by the academic research. Industry applications require more reliable power electronics products with preventive maintenance. However, the existing capacitor condition monitoring methods suffer from either increased hardware cost or low estimation accuracy, being the challenges to be adopted in industry applications. New development in condition monitoring technology with software solutions without extra hardware will reduce the cost, and therefore could be more promising for industry applications. A condition monitoring method based on Artificial Neural Network (ANN) algorithm is therefore proposed in this paper. The implementation of the ANN to the DC-link capacitor condition monitoring in a back-to-back converter is presented. The error analysis of the capacitance estimation is also given. The presented method enables a pure software based approach with high parameter estimation accuracy.
Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE 5th International Conference on Power Engineering, Energy, and Electrical Drives (POWERENG)
Number of pages5
Place of PublicationRiga, Latvia
PublisherIEEE Press
Publication dateMay 2015
Pages587 - 591
ISBN (Print)978-1-4799-9978-1
DOIs
Publication statusPublished - May 2015
Event2015 IEEE 5th International Conference on Power Engineering, Energy, and Electrical Drives (POWERENG) - Riga, Latvia
Duration: 11 May 201513 May 2015

Conference

Conference2015 IEEE 5th International Conference on Power Engineering, Energy, and Electrical Drives (POWERENG)
CountryLatvia
CityRiga
Period11/05/201513/05/2015

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    Soliman, H. A. H., Wang, H., Gadalla, B. S. A., & Blaabjerg, F. (2015). Condition Monitoring for DC-link Capacitors Based on Artificial Neural Network Algorithm. In Proceedings of the 2015 IEEE 5th International Conference on Power Engineering, Energy, and Electrical Drives (POWERENG) (pp. 587 - 591). IEEE Press. https://doi.org/10.1109/PowerEng.2015.7266382