Implementation of vibration-based structural health monitoring technique for identification of simulated corrosion damage in steel pipeline using neural network

• 第一著者: Farag Elghanudi, Muheieddin Meftah
• フォーマット: 学位論文
• 言語: English; English; English
• 出版事項: 2018
• 主題: TA401-492 Materials of engineering and construction. Mechanics of materials
• オンライン･アクセス: http://eprints.uthm.edu.my/234/1/24p%20MUHEIEDDIN%20MEFTAH%20FARAG%20ELGHANUDI.pdf; http://eprints.uthm.edu.my/234/2/MUHEIEDDIN%20MEFTAH%20FARAG%20ELGHANUDI%20COPYRIGHT%20DECLARATION.pdf; http://eprints.uthm.edu.my/234/3/MUHEIEDDIN%20MEFTAH%20FARAG%20ELGHANUDI%20WATERMARK.pdf; http://eprints.uthm.edu.my/234/

Corrosion defect has inevitably causes serious incidents in pipeline structures. Reduction in corrosion related incidents are highly desirable due to safety and cost efficiency. Current approaches have implemented destructive testing which highly cost and time consumptions. Moreover, the techniques...