کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
586035 1453267 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A review on different pipeline fault detection methods
ترجمه فارسی عنوان
مروری بر روش های مختلف تشخیص خرابی خط لوله
کلمات کلیدی
خط لوله؛ روش های تشخیص خرابی ؛ بررسی اجمالی؛ نشت و انسداد ایمنی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بهداشت و امنیت شیمی
چکیده انگلیسی


• Software and Hardware based Methods are used for pipeline fault detection.
• Discussion on performance of different methods for blockage and leakage detection.
• Comparison based on applicability on types of fluid, long, short, zigzag, straight pipeline.
• Acoustic reflectometry has vast applicability in fault detection followed by impedance method.

Pipeline faults like leakage and blockage always create problem for engineers. Detection of exact fault quantity and its location is necessary for smooth functioning of a plant or industry and safety of the environment. In this paper brief discussion is made on various pipeline fault detection methods viz. Vibration analysis, Pulse echo methodology, Acoustic techniques, Negative pressure wave based leak detection system, Support Vector Machine (SVM) based pipeline leakage detection, Interferometric fibre sensor based leak detection, Filter Diagonalization Method (FDM), etc. In this paper merit and demerits of all methods are discussed. It is found that these methods have been applied for specific fluids like oil, gas and water, for different layout patterns like straight and zigzag, for various lengths of pipeline like short and long and also depending on various operating conditions. Therefore, a comparison among all methods has been done based on their applicability. Among all fault detection methods, Acoustic reflectometry is found most suitable because of its proficiency to identify blockages and leakage in pipe as small as 1% of its diameter. Moreover this method is economical and applicable for straight, zigzag and long, short length pipes for low, medium and high density fluid.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Loss Prevention in the Process Industries - Volume 41, May 2016, Pages 97–106
نویسندگان
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