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العنوان
A Cloud Based Condition Monitoring System for Industrial Machinery \
المؤلف
Mohamed, Islam Mohamed El-Azab.
هيئة الاعداد
باحث / اسلام محمد العزب محمد
مشرف / حسن انور الجمل
مشرف / طاهر حمدالله عوض
مناقش / عبد الحميد ابراهيم جمعة
مناقش / هشام محمد على البطش
الموضوع
Mechanical Engineering.
تاريخ النشر
2018.
عدد الصفحات
107 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الميكانيكية
تاريخ الإجازة
1/4/2018
مكان الإجازة
جامعة الاسكندريه - كلية الهندسة - ميكانيكا
الفهرس
Only 14 pages are availabe for public view

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from 125

Abstract

The subject of this thesis was studying how Cloud-Based condition monitoring data centers are designed, applied and controlled. During the process of studying cloud computing technology, we firstly meet different requirements and regulations for a certain industry. Each of them has their definite property and purpose. So, every cloud computing application for every industrial field should be designed according to their own manufacturing characteristic. In this thesis, detailed rules of cloud computing technology and specifications are shown here. Also, described a proper application of infrastructure cloud computing technology.Critical facilities like Electrical Power plants have been taken as case studies to apply a remote condition monitoring system for the critical assets using cloud based condition monitoring system for industrial machinery in order to determine the condition of equipment and predict potential problems remotely.The industrial case studies are showed in practical ways that the speed of data transfer via the IaaS cloud data center isn’t affected by the monitoring location meanwhile the speed of data transfer depends only on the power station LAN internet speed. Illustrate the inverse relationship between the uploading speed (Mbps) and the corresponding uploading time (seconds) The study applied in this thesis showed that the cloud based condition monitoring data center enable an early detection of machines malfunction hence we got some benefits as reduction in machines downtime, spare parts consumption and secondary damage cost; which the main advantages are increasing asset reliability and availability.