A Study of reflection effect in air-coupled Lamb wave gas flow detection system

2018 ◽  
Author(s):  
Qihui Yu ◽  
Maolin Cai ◽  
Dan Wu ◽  
Jianguo Meng
Keyword(s):  
Lamb Wave ◽  
Gas Flow ◽  
Detection System ◽  
Reflection Effect ◽  
Flow Detection

scholarly journals Leak Detection Systems for Short Pipelines

2000 ◽  
Author(s):  
Renan Martins Baptista
Keyword(s):  
Detection System ◽  
Leak Detection ◽  
Low Complexity ◽  
Transient Model ◽  
Service Companies ◽  
Detection Systems ◽  
Volume Balance ◽  
Pipeline Networks ◽  
Phase Liquid ◽  
Flow Detection

This paper describes procedures developed by PETROBRAS Research & Development Center to assess a software-based leak detection system (LDS) for short pipelines. These so-called “Low Complexity Pipelines” are short pipeline segments with single-phase liquid flow. Detection solutions offered by service companies are frequently designed for large pipeline networks, with batches and multiple injections and deliveries. Such solutions are sometimes impractical for short pipelines, due to high cost, long tuning procedures, complex instrumentation and substantial computing requirements. The approach outlined here is a corporate approach that optimizes a LDS for shorter lines. The two most popular implemented techniques are the Compensated Volume Balance (CVB), and the Real Time Transient Model (RTTM). The first approach is less accurate, reliable and robust when compared to the second. However, it can be cheaper, simpler, faster to install and very effective, being marginally behind the second one, and very cost-efective. This paper describes a procedure to determine whether one can use a CVB in a short pipeline.

scholarly journals Vehicle Traffic Flow Detection System Based on Video Images under Haze Environment

IARJSET ◽  
2016 ◽  
Vol 3 (10) ◽  
pp. 60-63 ◽  
Author(s):  
Liu Jun-Fei ◽  
Wu Jian-Zhen ◽  
Li Hong-Qin
Keyword(s):  
Traffic Flow ◽  
Detection System ◽  
Vehicle Traffic ◽  
Video Images ◽  
Flow Detection

Vehicle Detection System with Statistical Functions Based on 3-Axis Anisotropic Magnetoresistive Using Wireless Communication Technology

2020 ◽  
Vol 17 (7) ◽  
pp. 2876-2881
Author(s):  
Xingguo Cheng ◽  
Chaomeng Chen
Keyword(s):  
Traffic Flow ◽  
Detection System ◽  
Experimental Result ◽  
Control Technique ◽  
Vehicle Speed ◽  
Single Chip ◽  
Novel Approach ◽  
Novel Method ◽  
Flow Detection ◽  
Statistical Functions

In terms of current issues that the sensor’s output signal drifts along with the surrounding strong magnetic field by using the single or dual-axis analog anisotropic magnetoresistive (AMR) sensor in the traffic flow detection, a traffic flow detection system based on ZigBee wireless sensor network is developed and a novel approach by exercising the new digital three-axis AMR sensor to detect the traffic flow is proposed to solve these issues as mentioned above. Using Single Chip Microcomputer (SCM) control technique and utilizing wireless transmitting, an effective algorithm is designed. The algorithm makes it possible to classify vehicle, calculate vehicle speed and count vehicle, in the meantime it provides a reliable and efficient method to collect intelligent transportation data. Even more important, the algorithm has a statistical functions based on MATLAB. The experimental result shows that the novel method has much better measurement accuracy, reliability and redundancy than single or dual-axis method.

2P2-B08 Development of a Real-time Optical Flow Detection System based on High Speed Vision

2008 ◽  
Vol 2008 (0) ◽  
pp. _2P2-B08_1-_2P2-B08_2
Author(s):  
Taku TANIGUCHI ◽  
Ryo SUKENOBE ◽  
Kenkichi YAMAMOTO ◽  
Idaku ISHII
Keyword(s):  
Optical Flow ◽  
Real Time ◽  
High Speed ◽  
Detection System ◽  
Flow Detection

A Compensation Method for Environmental Influences on Passive Lamb Wave Based Impact Evaluation for CFRP

2013 ◽  
Vol 569-570 ◽  
pp. 1265-1272 ◽  
Author(s):  
Konstantin Jonas Schubert ◽  
Axel Siegfried Herrmann
Keyword(s):  
Lamb Wave ◽  
Composite Structures ◽  
Lamb Waves ◽  
Detection System ◽  
Main Idea ◽  
Impact Event ◽  
Active System ◽  
Low Velocity ◽  
Temperature Changes ◽  
The Impact

One of the largest issues remaining on the way to in situ Structural Health Monitoring of composite structures using Lamb waves is the impact that non-damaging factors like temperature changes and humidity absorption have on most measurement strategies. While some of these tasks have been successfully conquered, others, especially related to slowly developing influences like humidity absorption or mechanical ageing, remain challenging. In this paper, a method to approach this problem for a Lamb-wave based passive impact detection system is presented. Passive approaches use the waves generated by the impact event itself to both localize said event and evaluate whether it was large enough to damage the structure. For this, the impacts energy has to be estimated from sensors detecting the Lamb waves. The problem provided by changing conditions within the material is that the locally measurable wave amplitude due to an impact event of a certain energy is altered if the material properties change. This might happen due to temperature changes, mechanical loads, humidity absorption, fluid loads and other factors. The main idea of the presented approach is to mix a passive and an active system. Piezoelectric elements are used to generate Lamb waves to obtain the attenuation coefficients of the material before and after hot/wet-conditioning. These coefficients are then used to estimate the impact energy from passive sensor responses. Both the approach and experimental validation performed with low velocity impacts from an impact hammer are presented to show the ability to correctly calculate impact forces after conditioning.

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