A system to detect the corrosion of submarine oil pipeline is introduced, it got the original data by 3 groups ultrasonic sensors and flux leakage sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and…
A system to detect the corrosion of submarine oil pipeline is introduced, it got the original data by 3 groups ultrasonic sensors and flux leakage sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and…
A system to detect the corrosion of submarine oil pipeline is introduced, it got the original data by 3 groups ultrasonic sensors and flux leakage sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and…
For the method of magnetic flux leakage testing, the evaluation of test results is based on the detected signals. The quality of evaluation is affected by the quality of the signals. The signals of magnetic flux leakage are often influenced by…
Since the pressure fluctuation signals are masked by noise and can not be detected, the oil pipeline leakage detection method is not satisfactory on small leakage problem, without more accurate warning and location. This paper uses discrete wavelet…
Since the high accuracy of the leakage detection can not be achieved at present, singularity analysis based on wavelet transform is adopted to analyze the pressure signals of the oil pipeline and then get the singularity points. To locate the…
According to the problems of pipeline leak detection existed in oil transport, a testing and positioning method based on wavelet packet and BP neural network is proposed. A Db4 wavelet packet is used to filter the noises of pressure signals, and…
This work proposes a leak detection system using sonic technology, wavelet transform and neural networks to decompose and analyze pressure signals from oil pipelines in real time. The similarity between pressure and sound signals makes it possible to…
The oil tanker shipping market always presents periodicity following varied laws in different periods. However, most of the studies on the tanker freight rate market are short-term projections, while those on its long-term periodicity characteristics…
This paper analyzes the dynamics of U.S. lithium mining companies, the lithium industry and West Texas Intermediate (WTI) crude oil prices using a Fractional Cointegration Vector AutoRegressive model (FCVAR model) and a Continuous Wavelet Transform…
This paper deals with the analysis of (spatial) crude oil production divergence in the United States, paying particular attention to the domestic crude oil production between PADD 2 and PADD 3, which are the areas in which the bottleneck occurs and…
The time-frequency (TF) analysis method plays a significant role in the detection of natural gas hydrates. As a data-driven method, compressed sensing (CS) has been widely used in the TF methods due to the sparsity of the TF representation. This…
In this paper, a wavelet application which aims to monitor a domestic natural gas boiler as a mechanical system is presented. In this predictive maintenance application, discrete-time wavelet decomposition is basically used to analyze the recorded…
Based on fractal theory, a new method was proposed for extracting wax crystal image features. The wax crystals were separated out from the transported crude when temperature went down. The wax crystals have self-affined and self-similar characters…
The oil tanker shipping market always presents periodicity following varied laws in different periods. However, most of the studies on the tanker freight rate market are short-term projections, while those on its long-term periodicity characteristics…
This paper analyzes the dynamics of U.S. lithium mining companies, the lithium industry and West Texas Intermediate (WTI) crude oil prices using a Fractional Cointegration Vector AutoRegressive model (FCVAR model) and a Continuous Wavelet Transform…
This paper analyzes the dynamics of U.S. lithium mining companies, the lithium industry and West Texas Intermediate (WTI) crude oil prices using a Fractional Cointegration Vector AutoRegressive model (FCVAR model) and a Continuous Wavelet Transform…
This paper deals with the analysis of (spatial) crude oil production divergence in the United States, paying particular attention to the domestic crude oil production between PADD 2 and PADD 3, which are the areas in which the bottleneck occurs and…
The voltage source converter (VSC) multi-terminal high voltage direct current (MTHVDC) is a suitable solution to connect offshore large renewable power stations. However, relevant fast and intelligent fault current location techniques are of utmost…
Fouling detection is a relevant problem for chemical, oil, food and pharmaceutical industries. Fouling consists of the deposition of heavy organic materials and other dissolved solids or in suspension in fluid transport system. The ultrasonic guided…
Nearly 70% casing damaged well in complicated fault oil and gas field were caused by geology and engineering. These two factors cause the casing plastically imbalanced by ununiform load that applies on, thus the imbalanced section where stress is…
In this paper, Daubechies (DB) wabelet scaling functions are used as basic function in function approximation by using DB wavelet properties, neither nodes nor meshes are needed. This method is simple and easy application, combining meshless galerkin…
This work proposes a leak detection system using sonic technology, wavelet transform and neural networks to decompose and analyze pressure signals from oil pipelines in real time. The similarity between pressure and sound signals makes it possible to…
In this paper, is presented the general approach of both thickness gauging and stress magnitude testing over a long distance of the pipeline by ultrasonic guided waves with increased precision and reliable results. We increase the precision by dint…
Considering the issues that the relationship between the submarine oil pipelines corrosion degree and detection information of sensor is a complicated and nonlinear and the chaos genetic algorithm neural network has the ability of strong nonlinear…
Since the pressure fluctuation signals are masked by noise and can not be detected, the oil pipeline leakage detection method is not satisfactory on small leakage problem, without more accurate warning and location. This paper uses discrete wavelet…
To avoid drilling hole and stealing oil in pipeline, a method of monitoring man made damage in advance is offered based on low frequency vibration signal. The signals come from the complex activities such as welding, hammering and damaging metallic…
In order to identify oil pipeline work conditions accurately and quickly, fuzzy C-means algorithm method is applied to this paper. For obtaining clustering standard, sixteen groups of raw data, which include each work condition, are selected from…
Based on fractal theory, a new method was proposed for extracting wax crystal image features. The wax crystals were separated out from the transported crude when temperature went down. The wax crystals have self-affined and self-similar characters…
Fouling detection is a relevant problem for chemical, oil, food and pharmaceutical industries. Fouling consists of the deposition of heavy organic materials and other dissolved solids or in suspension in fluid transport system. The ultrasonic guided…
The principle of ultrasonic detection and the detection method of the flaw signal are described. Wavelet neural network is used for signal processing of ultrasonic detection. This method that makes full use of characteristic of self-learning for…
Aiming at denoising to detection signal of the flaw in the long transporting pipe, the way of denoising based on wavelet neural network is present, and signal processing of ultrasonic detection application in long pipeline is described. Making use of…
According to the problems of pipeline leak detection existed in oil transport, a testing and positioning method based on wavelet packet and BP neural network is proposed. A Db4 wavelet packet is used to filter the noises of pressure signals, and…
This paper investigates the wavelet transform and the principle and method of the noise reduction based on wavelet transform, chooses the threshold noise reduction, and discusses detailed the principles, features and design steps of the threshold…
Since the high accuracy of the leakage detection can not be achieved at present, singularity analysis based on wavelet transform is adopted to analyze the pressure signals of the oil pipeline and then get the singularity points. To locate the…
With regards to the characteristics of work conditions on oil pipeline, such as complicated changes, lack of prior knowledge and difficult classification, simulated annealing K-means clustering algorithm are proposed. Samples, which include various…
In detection and localization of leakage from pipeline, as the signal of pressure is usually mixed with noise, the singularity of the negative pressure wave generated by a small leakage can not be accurately extracted by using conventional methods…
A system to detect the corrosion of submarine oil pipeline is introduced, it got the original data by 3 groups ultrasonic sensors and flux leakage sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and…
A system to detect the corrosion of submarine oil pipeline is introduced, it got the original data by 3 groups ultrasonic sensors and flux leakage sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and…
A system to detect the corrosion of submarine oil pipeline is introduced, it got the original data by 3 groups ultrasonic sensors and flux leakage sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and…
In this paper, a new method of resistance-examining for the results of field flow fractionation is presented, which can be used for separating resulting checking of separation technology using liquid separating carrier such as FFF, liquid…
In this paper, a new method of resistance-examining for the results of field flow fractionation is presented, which can be used for separating resulting checking of separation technology using liquid separating carrier such as FFF, liquid…
The oil tanker shipping market always presents periodicity following varied laws in different periods. However, most of the studies on the tanker freight rate market are short-term projections, while those on its long-term periodicity characteristics…