کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4980458 | 1453264 | 2016 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Leak detection and location in gas pipelines by extraction of cross spectrum of single non-dispersive guided wave modes
ترجمه فارسی عنوان
تشخیص نشت و محل در خطوط لوله گاز با استخراج طیف متقابل از حالت های موج منحصربفرد غیر مدون
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
غیر پراکنده، استخراج حالت تنها، محل نشت، خط لوله گاز،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بهداشت و امنیت شیمی
چکیده انگلیسی
The gas-leak-induced acoustic emission propagates along the pipe wall as a multimodal guided wave. Different modes possess variable propagation velocities and different degrees of dispersion. Thus if the cross correlation of full leak acoustic signals are used to locate a leakage, the location error is inevitably large. It will reduce the detection uncertainty and location error if using a single non-dispersive mode for leak location. The single-mode component in the cross spectrum of a leak acoustic emission can be extracted by applying the weighing window with parameters in terms of the wavenumber of a special mode. The cross spectrum of single-mode guided wave is then inversely Fourier-transformed to obtain the single-mode cross-correlation for estimating the time delay. This way, the more accurate acoustic velocity of a single mode can be used for locating a suspected gas leakage. The experimental results indicate that, for a gas pipeline, compared with the leak location by correlating the undecomposed leak acoustic emission, the average relative leak location errors are reduced by more than 7% at a distance of more than 80Â m due to the enhancement of correlativity of a single mode in leak acoustic emission and the adoption of a more accurate acoustic velocity.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Loss Prevention in the Process Industries - Volume 44, November 2016, Pages 255-262
Journal: Journal of Loss Prevention in the Process Industries - Volume 44, November 2016, Pages 255-262
نویسندگان
Shuaiyong Li, Jiajia Zhang, Dong Yan, Ping Wang, Qingqing Huang, Xiaolong Zhao, Yajun Cheng, Qiufeng Zhou, Niexin Xiang, Teng Dong,