Application of the Theory of Singularity Analysis Based on Wavelet Transform in Oil Pipeline Leakage Detection

2007 ◽  
Author(s):  
Ren Weijian ◽  
Yao Haichen
Keyword(s):  
Wavelet Transform ◽  
Singularity Analysis ◽  
Leakage Detection ◽  
Oil Pipeline

scholarly journals Leakage Detection in Pipeline using Wavelet Transform Method

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Mohd Fairusham Ghazali ◽  
Abdul Kadir Samta
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Correlation Analysis ◽  
Pipeline System ◽  
Leakage Detection ◽  
Transient Method ◽  
Research Project ◽  
Transform Method ◽  
Cepstrum Analysis ◽  
Transient Methods

This research project is focusing on the leakage detection in the pipelines using wavelet and cepstrum analysis. To fully complete this research project, experimental and analysis by using signal processing are required. This research project proposed a technique which is a transient method. The basic principle is the fact that water spouting out of a leak in a pressurized pipe generates a signal, and this signal contains information to whether a leak exists and where it is located. The present transient methods for finding leaks are mainly based upon correlation analysis, where one sensing device is installed at each side of a leak. This method is hard to operate because it needs many operators to operate it due to equipment in different place. This research project proposed a wavelet transform method to detect leakage in the pipeline system. The experimental results show appears  to improve the ability of the method to identify features in the signal.

Study on Leak Detecting System for Oil Pipeline Based on Multi-Sensor Data Fusion Technique

2012 ◽  
Vol 220-223 ◽  
pp. 1898-1901
Author(s):  
Jie Zhang ◽  
Xiao Wang ◽  
Zhen Zhao
Keyword(s):  
Wavelet Transform ◽  
Data Fusion ◽  
Real Time ◽  
Sensor Data ◽  
Time Signal ◽  
Fusion Technology ◽  
Transform Method ◽  
Oil Pipeline ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion

In this paper, based on the wavelet transform method, the multi-sensor data fusion technology is adopted to solve some key problems in pipeline leak detection system. Compared with the traditional filtering method, the wavelet transform method can better remove the pipeline leakage signal noise. When the corresponding wavelet is selected, after FPGA realized, the method has the advantages of fast speed, arbitrarily data width set, which can better meet the needs of real-time signal processing requirements of pipeline leak. At the same time, VHDL language has the characteristics of portability, greater generality. When multi-sensor fusion technology is used in the paper, the relation, correlation, estimation and integrated processing is done in turn to the information from multiple data sources, the system can achieve better detection performance than a system using the single sensor, so as to form a more complete, reliable pipeline real time detecting conclusion.

scholarly journals The Free-Swimming Device Leakage Detection in Plastic Water-filled Pipes through Tuning the Wavelet Transform to the Underwater Acoustic Signals

Water ◽  
2017 ◽  
Vol 9 (10) ◽  
pp. 731 ◽  
Author(s):  
Dileep Kumar ◽  
Dezhan Tu ◽  
Naifu Zhu ◽  
Reehan Shah ◽  
Dibo Hou ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Acoustic Signals ◽  
Leakage Detection ◽  
Free Swimming ◽  
Underwater Acoustic

Damage Detection of Gearbox Using Wavelet-Based Singularity Analysis Method

2007 ◽  
Author(s):  
Qiang Miao ◽  
Hong-Zhong Huang ◽  
Xianfeng Fan
Keyword(s):  
Wavelet Transform ◽  
Damage Detection ◽  
Vibration Signal ◽  
Singularity Analysis ◽  
Research Field ◽  
Analysis Method ◽  
Vibration Data ◽  
Novel Technique ◽  
Modulus Maxima

Damage detection of machinery is always a research field that attracts attentions of many people. In this paper, a novel technique for gearbox damage detection is investigated, which is a wavelet-based singularity analysis method. Wavelet transform is applied to vibration signal, modulus maxima lines are extracted, and conclusions are made based on these lines. Simulated and real vibration data have been analyzed using this approach. The results are presented to show the effectiveness of the method.

Petroleum Pipe Leakage Detection and Location Embeded in SCADA

2004 ◽  
Author(s):  
Likun Wang ◽  
Jian Li ◽  
Ke Peng ◽  
Shijiu Jin ◽  
Zhuang Li
Keyword(s):  
Wavelet Analysis ◽  
Data Exchange ◽  
Wavelet Packet ◽  
Economic Loss ◽  
Frequency Component ◽  
False Alarms ◽  
Leakage Detection ◽  
Wavelet Packet Analysis ◽  
Oil Pipeline ◽  
Scada System

With the increase of the age of the transport oil pipeline and the man-made destruction to pipeline, leaks are often found. The system for pipeline leakage detection and location must be established to find leakage and locate the leak positions to reduce serious environmental pollution and economic loss caused by leakage. The negative pressure wave method is an effective way to locate the leak position, because over 98 percent pipe leakage in China is paroxysmal. There is a SCADA (supervisory control and data acquisition) system to monitor operation for long transport petroleum pipe, but the function of leakage detection and location is not included in existing SCADA system in China. This paper used Dynamic Data Exchange (DDE) method to obtain pipe operation parameters such as pressure, flow rate, temperature, bump current, valve position and so on from the SCADA system. That takes full advantage of the abundant data collection function of the SCADA system to provide data for leakage detection and location. The wavelet packet analysis-based fault diagnosis method can directly use the change of parameters such as energy of frequency component to detect faults without system model. In the paper, a wavelet packet analysis-based characteristic extraction method is used to extract the characteristic information of leak pressure signals. The eigenvector indexes along with the parameters obtained from the SCADA system can be used to avoid false alarms. Wavelet analysis was used to locate leak positions accurately in this paper. Such a wavelet analysis-based leakage detection and location scheme embedded in the SCADA system has been successfully applied to a pipeline in PetroChina. Practical run demonstrated its well effect.

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