Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/21561
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dc.contributor.authorMohammed, Mohammed Hussien Abd Alla-
dc.contributor.authorSupervisor, - Tawfeeg Ahmed Gamal Aldeen-
dc.date.accessioned2018-10-02T07:47:19Z-
dc.date.available2018-10-02T07:47:19Z-
dc.date.issued2018-05-10-
dc.identifier.citationMohammed, 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.urihttp://repository.sustech.edu/handle/123456789/21561-
dc.descriptionThesisen_US
dc.description.abstractThis 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.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectMechanical Engineeringen_US
dc.subjectPower Plantsen_US
dc.subjectPredictive Maintenanceen_US
dc.subjectRotating Equipmentsen_US
dc.titlePredictive Maintenance by Using Ultrasound Technique for Rotating Equipments in Thermal Power Plantsen_US
dc.title.alternativeالصيانة التنبؤية باستخدام تقنية الموجات فوق الصوتية للمعدات الدوارة في محطات التوليد الحراريen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Engineering

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