Interference signal analysis for leak detection in long-distance transmitting mineral slurry pipeline

2016 ◽  
Author(s):  
Min Mao ◽  
Xiaodong Wang
Keyword(s):  
Signal Analysis ◽  
Leak Detection ◽  
Interference Signal ◽  
Long Distance ◽  
Mineral Slurry

Leak detection of long-distance district heating pipeline: A hydraulic transient model-based approach

Energy ◽  
2021 ◽  
pp. 121604
Author(s):  
Xuejing Zheng ◽  
Fangshu Hu ◽  
Yaran Wang ◽  
Lijun Zheng ◽  
Xinyong Gao ◽  
...  
Keyword(s):  
District Heating ◽  
Leak Detection ◽  
Long Distance ◽  
Transient Model ◽  
Hydraulic Transient ◽  
Model Based

Sensitive Liquid Sensor For Long Distance Leak Detection

1984 ◽  
Author(s):  
M. Nagai ◽  
M. Shimizu ◽  
N. Ohgi
Keyword(s):  
Leak Detection ◽  
Long Distance

scholarly journals A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5204
Author(s):  
Valery Nkemeni ◽  
Fabien Mieyeville ◽  
Pierre Tsafack
Keyword(s):  
Kalman Filter ◽  
Distributed Computing ◽  
Power Consumption ◽  
Water Distribution ◽  
Water Distribution Network ◽  
Leak Detection ◽  
Long Distance ◽  
Physical Measurements ◽  
Water Pipeline ◽  
And Performance

Wireless Sensor Network (WSN) applications that favor more local computations and less communication can contribute to solving the problem of high power consumption and performance issues plaguing most centralized WSN applications. In this study, we present a fully distributed solution, where leaks are detected in a water distribution network via only local collaborations between a sensor node and its close neighbors, without the need for long-distance transmissions via several hops to a centralized fusion center. A complete approach that includes the design, simulation, and physical measurements, showing how distributed computing implemented via a distributed Kalman filter improves the accuracy of leak detection and the power consumption is presented. The results from the physical implementation show that distributed data fusion increases the accuracy of leak detection while preserving WSN lifetime.

Pipeline Acoustic Pre-Warning System and Method of Signal Analysis

2008 ◽  
Author(s):  
Pengchao Chen ◽  
Yongjun Cai ◽  
Dongjie Tan ◽  
Yi Sun ◽  
Muyang Ai ◽  
...  
Keyword(s):  
Background Noise ◽  
Signal Analysis ◽  
Warning System ◽  
Acoustic Signals ◽  
Third Party ◽  
Feature Subset ◽  
Long Distance ◽  
Long Distance Transmission ◽  
Optimal Feature Subset ◽  
Optimal Feature

This paper describes a new acoustic pre-warning system for pipelines, aimed at preventing third party damage by monitoring the pipeline acoustic signals. Many environmental factors, such as the by-passing of vehicles and pedestrians, could introduce background noise into long distance transmission of pipeline acoustic signals. As a result, normal pipeline acoustic pre-warning system is disturbed to identify abnormal events. In this work, statistical methods were applied to signal analysis in order to extract feature parameters of different events. Then the optimal feature subset was obtained by gene arithmetic to differentiate hazardous events between normal events effectively. PetroChina has applied the new pre-warning system to their long distance transmission pipelines and the system operates well.

Pipeline Leak Detection Based on Acoustic Emission Using Empirical Mode Decomposition Method

2008 ◽  
Author(s):  
Yibo Li ◽  
Junlin Li ◽  
Liying Sun ◽  
Shijiu Jin ◽  
Shenghua Han
Keyword(s):  
Acoustic Emission ◽  
Empirical Mode Decomposition ◽  
Signal Analysis ◽  
Leak Detection ◽  
Detection Sensitivity ◽  
Intrinsic Mode Functions ◽  
Location Accuracy ◽  
Noise Interference ◽  
Mode Decomposition ◽  
Empirical Mode Decomposition Method

Corrosion in pipeline is a significant problem in the oil industry and there is also much interest in reducing leak due to corrosion. Correlation techniques are widely used in leak detection, and these have been extremely effective when attempting to locate leaks in metal pipes. Acoustic emission is a new non-destructive pipeline inspection technology which can be used to monitor crucial part of pipelines and detect pipe corrosion or leak in real time. However, AE signals causing by corrosion and leak are liable to noise interference on field. Aiming at solving the noise interference problems and increase the detection sensitivity and location accuracy of the leak, advanced signal analysis method based on Empirical Mode Decomposition were researched. Empirical Mode Decomposition is a great breakthrough in non-stable signal analysis and it decomposes the signals into a sum of finite intrinsic mode functions (IMF), which have real physical meaning. In the experiment, the leak signals from a 30 m pipeline were decomposed into 9 intrinsic mode functions by EMD, among which some IMF components containing typical AE characteristic can be selected to reconstruct the signal, and thus intrinsic characteristic of leak signal could be extracted and noise interference would be eliminated. Location accuracy of the leaking hole calculated with the reconstructed signals based on EMD algorithm was increased 64%.

scholarly journals Experimental Evaluation of the Impact of Different Types of Jamming Signals on Commercial GNSS Receivers

2020 ◽  
Vol 10 (12) ◽  
pp. 4240 ◽  
Author(s):  
Haidy Elghamrawy ◽  
Malek Karaim ◽  
Mohamed Tamazin ◽  
Aboelmaged Noureldin
Keyword(s):  
Satellite System ◽  
Signal Interference ◽  
Interference Signal ◽  
Long Distance ◽  
Wideband Signals ◽  
Global Positioning ◽  
Gnss Receivers ◽  
Propagation Medium ◽  
Global Navigation Satellite ◽  
The Impact

The received global navigation satellite system (GNSS) signal has a very low power due to traveling a very long distance and to the nature of the signal’s propagation medium. Thus, GNSS signals are easily susceptible to signal interference. Signal interference can cause severe degradation or interruption in GNSS position, navigation, and timing (PNT) services which could be very critical, especially in safety-critical applications. The objective of this paper is to evaluate the impact of the presence of jamming signals on a high-end GNSS receiver and investigate the benefits of using a multi-constellation system under such circumstances. Several jamming signals are considered in this research, including narrowband and wideband signals that are located on GPS L1 or GLONASS L1 frequency bands. Quasi-real dynamic trajectories are generated using the Spirent™ GSS6700 GNSS signal simulator combined with an interference signal generator through a Spirent™ GSS8366 unit. The performance evaluation was carried out using several evaluation metrics, including signal power degradation, navigation solution availability, dilution of precision (DOP), and positioning accuracy. The multi-constellation system presented better performance over the global positioning system (GPS)-only constellation in most cases. Moreover, jamming the GPS band caused more critical effects than jamming the GLONASS band.

The Research of Intelligent Gas Leak Ultrasonic Testing System

2014 ◽  
Vol 1006-1007 ◽  
pp. 884-887
Author(s):  
Hui Ling Han ◽  
Peng Sun ◽  
Feng Bo Han ◽  
Xin Ge Wang ◽  
Qing Xia ◽  
...  
Keyword(s):  
Virtual Instrument ◽  
Signal Analysis ◽  
Detection System ◽  
Ultrasonic Transducer ◽  
Leak Detection ◽  
Testing System ◽  
Spectrum Estimation ◽  
Power Spectrum Estimation ◽  
Gas Leak ◽  
Signal Processing Algorithms

This paper presents the basic principle of gas leak ultrasonic produce, the use of ultrasonic transducer array collecting leak ultrasonic signal, the signal filtering and power spectrum estimation of signal processing algorithms, intelligent gas leak detection system is developed. The detector is convenient to use, can realize quick check gas leak, application of virtual instrument for leakage signal analysis and processing, implementation of gas leak detection and estimation of leakage.

Sign in / Sign up

Export Citation Format

Share Document