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العنوان
An artificial neural network model for gas turbine performance prediction /
الناشر
Anwr Mohammed Albaghdadi ,
المؤلف
Anwr Mohammed Albaghdadi
هيئة الاعداد
باحث / Anwr Mohammed Albaghdadi
مشرف / Mohamed Galal Eldin Khalafallah
مشرف / Abdelnaby Mohamed Abdelfattah
مشرف / Mohamed Galal Eldin Khalafallah
تاريخ النشر
2016
عدد الصفحات
91 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الميكانيكية
تاريخ الإجازة
4/6/2017
مكان الإجازة
جامعة القاهرة - كلية الهندسة - Mechanical Power Engineering
الفهرس
Only 14 pages are availabe for public view

from 113

from 113

Abstract

The present thesis introduces a study for the application of ANN modeling to investigate the performance prediction of a gas-turbine power-generation unit. A wide range of operating data (over two years) of a small gas turbine (20 MW) is used for training, investigating and evaluating the ANN model. ANN shows good predict ability results that would add an interesting advantage to the maintenance team efforts. Moreover, the model could be used as a guide for operators to estimate different failure possibilities that could happened to various parts of the gas turbine engine