An Improved Negative Pressure Wave Method for Natural Gas Pipeline Leak Location Using FBG Based Strain Sensor and Wavelet Transform

Hou, Qingmin; Ren, Liang; Jiao, Wenling; Ping-hua, Zou; Song, Gangbing

doi:10.1155/2013/278794

Cited by 38 publications

(28 citation statements)

References 21 publications

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“…To study the robustness of the identification method, each sample was now added with noise. The noise-polluted response N can be expressed as [61]: (20) where L N is a number within (0, 1) that represents the noise level, which was selected as 5% in this work; σ y is the standard deviation of original response y after noise is added; and is an N-length vector of normally distributed random numbers with zero mean and unit variance. Figure 10 and Table 4 show the update process and identification results of the under-test samples with 5% noise.…”

Section: Results Of Crack Identificationmentioning

confidence: 99%

A Super-Harmonic Feature Based Updating Method for Crack Identification in Rotors Using a Kriging Surrogate Model

Ouyang

2019

Applied Sciences

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Dynamic model updating based on finite element method (FEM) has been widely investigated for structural damage identification, especially for static structures. Despite the substantial advances in this method, the key issue still needs to be addressed to boost its efficiency in practical applications. This paper introduces the updating idea into crack identification for rotating rotors, which has been rarely addressed in the literature. To address the problem, a novel Kriging surrogate model-based FEM updating method is proposed for the breathing crack identification of rotors by using the super-harmonic nonlinear characteristics. In this method, the breathing crack induced nonlinear characteristics from two locations of the rotors are harnessed instead of the traditional linear damage features for more sensitive and accurate breathing crack identification. Moreover, a FEM of a two-disc rotor-bearing system with a response-dependent breathing crack is established, which is partly validated by experiments. In addition, the associated breathing crack induced nonlinear characteristics are investigated and used to construct the objective function of Kriging surrogate model. Finally, the feasibility and the effectiveness of the proposed method are verified by numerical experiments with Gaussian white noise contamination. Results demonstrate that the proposed method is effective, accurate, and robust for breathing crack identification in rotors and is promising for practical engineering applications.

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Section: Results Of Crack Identificationmentioning

confidence: 99%

A Super-Harmonic Feature Based Updating Method for Crack Identification in Rotors Using a Kriging Surrogate Model

Ouyang

2019

Applied Sciences

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“…At present, there are many methods and techniques reported for PLD [5], [6], the most important being leaking medium detection [7], [8], pipe wall parameter detection [9], the use of acoustic principles [10], [11], and optical fiber sensing detection [12], [13]. These methods differ in cost, effectiveness and applicability to different situations as well as how they may be deployed for long lengths of pipe, and in different weather or climatic conditions, for example.…”

Section: Introductionmentioning

confidence: 99%

“…Further, a two-point pressure detection system has shown limitations due to the weak signals often generated -this work extends it to a multi-point system. In recent years, the research focus has often been on the signal extraction using various methods or algorithms [10], [11], for example, wavelet transform, fuzzy support vector machine analysis, empirical mode decomposition, Kalman filtering, etc, in order to identify the weak leak signatures. In addition, the familiar, traditional two-point pressure detection system may not function well due to what may be severe signal attenuation accompanying the need for increasing pipeline length.…”

Section: Introductionmentioning

confidence: 99%

“…Researchers have attempted to measure the PLD through the use of FBG-based sensing technology where, in the literature, a FBG strain monitoring device has been reported to measure the pipeline hoop-strain caused by the resulting pressure change [10], [19]. However such a simple approach is prone to false alarms because many different factors can cause pipeline strain, such as the temperature changes, vibration and so on and thus there are problems with its use in leak detection.…”

Section: Introductionmentioning

confidence: 99%

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Novel Negative Pressure Wave-Based Pipeline Leak Detection System Using Fiber Bragg Grating-Based Pressure Sensors

Wang

Zhao

Liu

et al. 2017

J. Lightwave Technol.

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link City Research Online Abstract-In this paper, the design and underpinning technical principles of the novel design of a negative pressure wave (NPW)-based pipeline leak detection (PLD) system has been reported, which is configured using Fiber Bragg Grating (FBG) pressure sensors. To evaluate this, a pipeline leakage test platform has been established and experiments have been conducted, to verify the performance of a system using this FBG-based approach. The results show that a system using FBG-based sensors can accurately determine the pressure change trends along the pipeline and thus allow the calculation of the NPW velocity online. A key comparison is made with traditional NPW detection techniques, showing that the novel detection system is capable of achieving the higher leak-location accuracy and the detection of smaller leakage volumes. This arises from the ability of the FBG-based system to allow an increased number of sensors to be multiplexed along the pipeline. Their corresponding output signals generated show a very satisfactory, high signal-to-noise ratio. The system has been evaluated, especially in its response to extraneous signals and thus disturbances caused by the pump starting or stopping can be eliminated. This was achieved through an analysis of the time sequence of the pressure changes captured by the multi-sensor array being carried out and thus immunity to such effects demonstrated. The system has thus been designed to minimize the instances where a false alarm occurs.Index Terms-Pipeline leak detection (PLD), negative pressure wave (NPW), pressure sensor, fiber Bragg grating (FBG), pressure change.

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“…The first one is so called method of negative pressure waves [1][2][3]. The idea of the method is that the sharp pressure jump, emergent at the depressurization point, produces two waves of negative pressure This work was supported by grants of NASU, State registration 0113U007687 and 0116U007435.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of a small pressure disturbance in gas flow of a long pipeline

Чекурін¹,

Khymko²

2017

Math. Model. Comput.

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A mathematical model for propagation of a small disturbance in the moving gas of a long pipeline has been built in the paper. The model contains two coupled equations, the coefficients of which are expressed via the parameters of the initial process mass density and mass flow rate. In the frame of the model, the influence of parameters of the initial stationary gas flow on propagation of the pulses initiated by a local fluctuation, originated in the stream, was studied numerically. The developed model can be used for quantitative analysis of oscillations of operational regimes of the long-distance pipeline, which are caused by random stream fluctuations and/or operational pulsation of the compressors. The model can be also useful to study negative pressure waves emerging in the pipeline during its local depressurization.

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An Improved Negative Pressure Wave Method for Natural Gas Pipeline Leak Location Using FBG Based Strain Sensor and Wavelet Transform

Cited by 38 publications

References 21 publications

A Super-Harmonic Feature Based Updating Method for Crack Identification in Rotors Using a Kriging Surrogate Model

A Super-Harmonic Feature Based Updating Method for Crack Identification in Rotors Using a Kriging Surrogate Model

Novel Negative Pressure Wave-Based Pipeline Leak Detection System Using Fiber Bragg Grating-Based Pressure Sensors

Mathematical modeling of a small pressure disturbance in gas flow of a long pipeline

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