کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
708805 892034 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Blind Acoustic Source Separation Via System Identification for Leak Detection in Pipelines*
ترجمه فارسی عنوان
جداسازی منبع آکواریوم کلاسی از طریق شناسایی سیستم برای تشخیص نشت در خطوط لوله *
کلمات کلیدی
شناسایی سیستم، جداسازی منابع کور منبع صوتی، تشخیص نشت
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی

The main motivation for this paper is to improve an acoustic leak detection system for pipelines by using blind source separation. In this setup hundreds of microphones are used to continuously monitor a pipeline. We propose to use a source separation scheme to eliminate overlapping sounds in the measured signals making is easier to detect and locate acoustic events in the measured data. To separate the sources, a large scale system identification problem results. In this paper we present one way that the identification problem can be made more computationally efficient. First, the blind source separation problem is parameterized as a channel estimation problem. Due to the presence of echoes, the channel impulse responses are very long, but are sparse in the sense that they are zero for a significant portion of the response. Then this sparsity is exploited for reducing the computational complexity of the identification problem. Our method is tested on a small scale test pipeline.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC-PapersOnLine - Volume 49, Issue 13, 2016, Pages 229–234
نویسندگان
, , ,