TY - JOUR
T1 - Artificial Neural Network Algorithm for Condition Monitoring of DC-link Capacitors Based on Capacitance Estimation
AU - Soliman, Hammam Abdelaal Hammam
AU - Wang, Huai
AU - Gadalla, Brwene Salah Abdelkarim
AU - Blaabjerg, Frede
PY - 2015/12
Y1 - 2015/12
N2 - 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.
AB - 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.
KW - Capacitor condition monitoring
KW - Capacitor health status
KW - Capacitance estimation
UR - http://apc.aast.edu/ojs/index.php/RESD/article/view/100
M3 - Journal article
SN - 2356-8518
VL - 1
SP - 294
EP - 299
JO - Journal of Renewable Energy and Sustainable Development (RESD)
JF - Journal of Renewable Energy and Sustainable Development (RESD)
IS - 2
ER -