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Acoustic Emission Leak Detection of Liquid Filled Buried Pipeline

Author(s):

S. Amarnath , Jeppiaar Srr Enginerring college; B. Dinesh Kumar, Jeppiaar Srr Enginerring college; M. Janaki Raman, Jeppiaar Srr Enginerring college; M. Saravana Pandian, Jeppiaar Srr Enginerring college

Keywords:

Acoustic Emission (AE), Buried Pipeline

Abstract

It is the method of leakage position tracking and also the alert method of to interact and instruct the person itself. This incident happened in based on the unexpected disaster. This entire problem we avoid by using the some kind of automation or artificial intelligence method. Like continue monitoring based on cloud application and SMS and Mail help of the IOT. Because of this alert will make safe and better quantity flow in the line. This communication between the node to node based on flow of water. In proposed we are taking the smart tracking device for find the fault in the pipe line. Several limitations and difficulties exist in the inspection and maintenance of underground pipelines that cannot use pigs (pipeline inspection gauges). Leaking is unavoidable in such buried pipelines and poses serious problem to the environment as well as the pipeline owners. Pipeline leakages are usually apparent either when the pressure is dropping for no other obvious reason or when valuable product is lost. However, even in the best-case scenario, where the operators can isolate specific pipeline sections suspected to leak, it is often the case that the operators cannot reliably locate the exact position of the leak so as to take corrective measures. Acoustic emission (AE) is an excellent tool for detecting and locating leaks in buried pipelines. Access to the pipeline is required only locally for mounting AE sensors. Pipeline is pressurized and AE tested in 600-to-1000-m-long sections at a time. The AE sensors detect the turbulent flow at the leak orifice, and with the use of digital AE systems and specialized software, the position of the leak is provided.

Other Details

Paper ID: IJSRDV6I10843
Published in: Volume : 6, Issue : 1
Publication Date: 01/04/2018
Page(s): 1341-1343

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