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Enhancement of Performance for Steam Turbine in Thermal Power Plants Using Artificial Neural Network and Electric Circuit Design
المؤلفون المشاركون
Salim, Hosham
Faisal, Khalid
Jawad, Raheel
المصدر
Applied Computational Intelligence and Soft Computing
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-02
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Design and implantation of electric circuit for enhanced performance of steam power plant and artificial neural networks technique are used to control turbine.
Artificial neural networks technique is used to control a lot of industrial models practically.
Artificial neural network has been applied to control the important variables of turbine in AL–Dura power plant in Baghdad such as pressure, temperature, speed, and humidity.
In this study Simulink model was applied in MATLAB program (v 2014 a) by using artificial neural network (ANN).
The method of controlling model is by using NARMA to generate data and train network.
ANN is offline.
ANN requires data to obtain results and for comparison with actual power plant.
The values of the input variables have a large effect on the number of nodes and epochs and in hidden layer of the artificial neural network they also affect performance of ANN.
The electric circuit of sensors consists of transformer, DC bridge, and voltage regulator.
Comparing the results from modeling by ANN and electric circuit with experimental data reveals a good agreement and the maximum deviation between the experimental data and predicted results from ANN and circuit design is less than 1%.
The novelty in this paper is applying NARMA controller for the purpose of enhancement of turbine performance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Salim, Hosham& Faisal, Khalid& Jawad, Raheel. 2018. Enhancement of Performance for Steam Turbine in Thermal Power Plants Using Artificial Neural Network and Electric Circuit Design. Applied Computational Intelligence and Soft Computing،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1117060
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Salim, Hosham…[et al.]. Enhancement of Performance for Steam Turbine in Thermal Power Plants Using Artificial Neural Network and Electric Circuit Design. Applied Computational Intelligence and Soft Computing No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1117060
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Salim, Hosham& Faisal, Khalid& Jawad, Raheel. Enhancement of Performance for Steam Turbine in Thermal Power Plants Using Artificial Neural Network and Electric Circuit Design. Applied Computational Intelligence and Soft Computing. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1117060
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1117060
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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