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RISS 인기검색어
- 검색키워드
- 저자 : Calik Huseyin (검색결과 3 건)
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Artificial NARX Neural Network Model of Wind Speed: Case of Istanbul-Avcilar
Calik Huseyin,Ak Namik,Guney Ibrahim 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.5
Wind farms have a focus role in environmentally friendly energy production. There are short-term estimates of wind speed in planning energy production in wind power plants. In this article, we analyzed the wind speed in the Istanbul Avcılar region by an artifi cial neural network method (ANN) and regression method. One of the methods commonly used in estimation processes is Nonlinear Autoregressive Exogenous (NARX). We divide the data into three parts 70%, 15%, and 15%, respectively, for learning, validation, and testing. We used the Levenberg–Marquardt (LM) algorithm for data network training. We compared the predicted wind speed with the measured and tested values. We used MATLAB software in the analysis of the model. We obtained system outputs and regression models of wind speed with artifi cial neural network simulations. Besides, we calculated the eff ect sizes.
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The Volume Measurement of Air Flowing through a Cross-section with PLC Using Trapezoidal Rule Method
Huseyin CALIK 대한전기학회 2013 Journal of Electrical Engineering & Technology Vol.8 No.4
In industrial control systems, flow measurement is a very important issue. It is frequently needed to calculate how much total fluid or gas flows through a cross-section. Flow volume measurement tools use simple sampling or rectangle methods. Actually, flow volume measurement process is an integration process. For this reason, measurement systems using instantaneous sampling technique cause considerably high errors. In order to make more accurate flow measurement, numerical integration methods should be used. Literally, for numerical integration method, Rectangular, Trapezoidal, Simpson, Romberg and Gaussian Quadrature methods are suggested. Among these methods, trapezoidal rule method is quite easy to calculate and is notably more accurate and contains no restrictive conditions. Therefore, it is especially convenient for the portable flow volume measurement systems. In this study, the volume measurement of air which is flowing through a cross-section is achieved by using PLC ladder diagram. The measurements are done using two different approaches. Trapezoidal rule method is proposed to measure the flow sensor signal to minimize measurement errors due to the classical sampling method as a different approach. It is concluded that the trapezoidal rule method is more effective than the classical sampling.
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The Volume Measurement of Air Flowing through a Cross-section with PLC Using Trapezoidal Rule Method
Calik, Huseyin The Korean Institute of Electrical Engineers 2013 Journal of Electrical Engineering & Technology Vol.8 No.4
In industrial control systems, flow measurement is a very important issue. It is frequently needed to calculate how much total fluid or gas flows through a cross-section. Flow volume measurement tools use simple sampling or rectangle methods. Actually, flow volume measurement process is an integration process. For this reason, measurement systems using instantaneous sampling technique cause considerably high errors. In order to make more accurate flow measurement, numerical integration methods should be used. Literally, for numerical integration method, Rectangular, Trapezoidal, Simpson, Romberg and Gaussian Quadrature methods are suggested. Among these methods, trapezoidal rule method is quite easy to calculate and is notably more accurate and contains no restrictive conditions. Therefore, it is especially convenient for the portable flow volume measurement systems. In this study, the volume measurement of air which is flowing through a cross-section is achieved by using PLC ladder diagram. The measurements are done using two different approaches. Trapezoidal rule method is proposed to measure the flow sensor signal to minimize measurement errors due to the classical sampling method as a different approach. It is concluded that the trapezoidal rule method is more effective than the classical sampling.
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