کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
705011 1460915 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
FPGA-based neural network harmonic estimation for continuous monitoring of the power line in industrial applications
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
FPGA-based neural network harmonic estimation for continuous monitoring of the power line in industrial applications
چکیده انگلیسی

Manufacturing cells are present in almost all the industrial sector. Unfortunately, all machine tools into the manufacturing cell are connected to the same power line, implying that their operation adds nonlinear loads such as harmonics and interharmonics that affect the general machine-tool condition. A novel NN-based methodology for harmonic monitoring through time in transient and stationary signals that satisfies the IEC61000-4-7 standard is presented, as well as its implementation into a field programmable gate array (FPGA) for continuous and online monitoring. The proposed method and the developed instrument have been tested in a real manufacturing cell.


► NN-based methodology which satisfies the IEC61000-4-7 standard is presented.
► Signal analysis for transient and steady state is done by an effective way.
► Time resolution is improved without losing the standard requirements.
► FPGA implementation allows the continuous and online monitoring.
► Developed instrument performs in situ analysis as required by new generation machines.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 98, May 2013, Pages 51–57
نویسندگان
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