کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7120783 1461461 2018 30 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
In-pipe fibre optic pressure sensor array for hydraulic transient measurement with application to leak detection
ترجمه فارسی عنوان
آرایه سنسور فشار فیبر نوری برای اندازه گیری هیدرولیکی با استفاده از تشخیص نشت
کلمات کلیدی
سنجش فیبر نوری، فیبر براگ گرانیت، تشخیص نشت، خط لوله، چکش آب، سیستم توزیع آب،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
Controlled hydraulic transient pressure waves can be used to actively assess the condition of pressurised pipelines (e.g. leak detection). One practical challenge to the application of the technique to buried water pipelines is in the pressure measurement - fast-response pressure transducers are costly and the deployment is limited to one sensor per access point (e.g. at air valves or fire hydrants). The measurement from a single sensor is always the superposition of the waves travelling upstream and downstream along a pipe. It is often difficult to determine the direction of the propagating waves, unless there are suitable locations nearby where additional measurements can be made. The research reported here develops a fibre optic pressure sensor array for in-pipe transient pressure measurement. The sensor array consists of five Fibre Bragg Gratings (FBGs), each formed into a custom designed pressure transducer. The cable containing the array has a diameter of approximately 4 mm, making it easy to insert into a pipeline through a single access point for distributed transient pressure measurement. The usefulness of the fibre optic pressure sensors for transient-based pipeline leak detection is validated through laboratory experiments. The measurement from each individual fibre optic sensor is generally consistent with conventional piezo-resistive pressure transducers over a wide frequency range. The sensor array configuration enables the determination of the directional information of waves, therefore enhancing the ability of pipeline defect detection and localisation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 126, October 2018, Pages 309-317
نویسندگان
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