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

In power electronic converters, reliability of DC-link capacitors is one of the critical issues. The estimation of their health status as an application of condition monitoring have been an attractive subject for industrial field and hence for the academic research filed as well. More reliable solut...

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Vydáno v:Renewable energy and sustainable development Ročník 1; číslo 2; s. 294 - 299
Hlavní autoři: Soliman, Hammam Abdelaal Hammam, Wang, Huai, Gadalla, Brwene Salah Abdelkarim, Blaabjerg, Frede
Médium: Journal Article
Jazyk:angličtina
Vydáno: Academy Publishing Center 31.12.2015
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ISSN:2356-8518, 2356-8569
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Popis
Shrnutí:In power electronic converters, reliability of DC-link capacitors is one of the critical issues. The estimation of their health status as an application of condition monitoring have been an attractive subject for industrial field and hence for the academic research filed as well. More reliable solutions are required to be adopted by the industry applications in which usage of extra hardware, increased cost, and low estimation accuracy are the main challenges. Therefore, development of new condition monitoring methods based on software solutions could be the new era that covers the aforementioned challenges. A capacitance estimation method based on Artificial Neural Network (ANN) algorithm is therefore proposed in this paper. The implemented ANN estimated the capacitance of the DC-link capacitor in a back-toback converter. Analysis of the error of the capacitance estimation is also given. The presented method enables a pure software based approach with high parameter estimation accuracy.
ISSN:2356-8518
2356-8569
DOI:10.21622/resd.2015.01.2.294