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Predictive Maintenance by Using Ultrasound Technique for Rotating Equipments in Thermal Power Plants

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dc.contributor.author Mohammed, Mohammed Hussien Abd Alla
dc.contributor.author Supervisor, - Tawfeeg Ahmed Gamal Aldeen
dc.date.accessioned 2018-10-02T07:47:19Z
dc.date.available 2018-10-02T07:47:19Z
dc.date.issued 2018-05-10
dc.identifier.citation Mohammed, Mohammed Hussien Abd Alla . Predictive Maintenance by Using Ultrasound Technique for Rotating Equipments in Thermal Power Plants / Mohammed Hussien Abd Alla Mohammed ; Tawfeeg Ahmed Gamal Aldeen .- Khartoum: Sudan University of Science and Technology, college of Engineering, 2018 .- 107p. :ill. ;28cm .- M.Sc. en_US
dc.identifier.uri http://repository.sustech.edu/handle/123456789/21561
dc.description Thesis en_US
dc.description.abstract This thesis proposes an ultrasound condition monitoring technique to determine the condition of rotating equipments and deals with detection of fault conditions based on measurements of ultrasound made on rotating machines in Garri-4 power plant. Features data, from different case studies, were analyzed and used to give results to define the machine condition. The results indicated that the ultrasound technique is accurate method for the inspection of rotating machines in various mechanical systems. By using ultrasound technique, rotating equipments condition was identified accurately and its faults were detected during the operation before the failure occurred. en_US
dc.description.sponsorship Sudan University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Sudan University of Science and Technology en_US
dc.subject Mechanical Engineering en_US
dc.subject Power Plants en_US
dc.subject Predictive Maintenance en_US
dc.subject Rotating Equipments en_US
dc.title Predictive Maintenance by Using Ultrasound Technique for Rotating Equipments in Thermal Power Plants en_US
dc.title.alternative الصيانة التنبؤية باستخدام تقنية الموجات فوق الصوتية للمعدات الدوارة في محطات التوليد الحراري en_US
dc.type Thesis en_US


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