Analysis of the smallest detectable leakage flow rate of negative pressure wave-based leak detection systems for liquid pipelines

Ge, Chuanhu; Wang, Guizeng; Ye, Hao

doi:10.1016/j.compchemeng.2007.08.011

Cited by 93 publications

(35 citation statements)

References 3 publications

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“…Getting closer to the ends of the pipeline, detection level is getting worse (the size of detectable leaks becomes greater). the obtained results correspond to the leak detection distribution in relation to its location, which is presented in [7]. in case of using flow rate signals, such relation is not so evident.…”

Section: The Resultsmentioning

confidence: 99%

“…: its location, size (intensity), the nature of occurrence (rapid leaks or slowly increasing leakages), but also the size of a pipe damage and its development. the analysis of these issues might be found in papers [3,7].…”

Section: Introductionmentioning

confidence: 99%

“…in this paper we are interested in applying slda to diagnose singular liquid transmission pipeline leak in steady states. an example of such slda, which uses the negative pressure wave detection method, can be reviewed in [7]. the algorithm processes data obtained from two pressure sensors located at the inlet and outlet of a pipeline.…”

Section: Introductionmentioning

confidence: 99%

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Possible leakage detection level in transmission pipelines using improved simplified methods

Ostapkowicz¹,

Bratek²

2016

EiN

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(*) tekst artykułu w polskiej wersji językowej dostępny w elektronicznym wydaniu kwartalnika na stronie www.ein.org.pl Introductionliquid transmission pipelines may suffer from damages, which might result in leakages. therefore, leak detection system (lds) is an indispensable equipment of a pipeline installation. the main purpose of such system is to detect, locate, as well as determine the magnitude of occurred leak.Most popular lds are developed with the use of diagnostic methods, which are based on measurements of internal flow parameters, i.e. flow rate, pressure and fluid temperature. in the literature such methods are called internal (analytical, indirect) methods [2,11,17].the implementation of leak diagnosis process is a rather complex issue. the existing internal methods, whose review might be found in the papers [4, 10,11,17,19], on their own are not able to fulfill all mentioned above diagnostic tasks. their utility is limited to certain, defined operational pipeline's states and leaks' characteristics. thus, elaboration of effective and reliable lds requires applying of at least several internal methods working concurrently [17].taking into account that a lds should first detect a leak, internal methods, which are responsible for this diagnostic task, acquire particular significance. in practice, one or several methods must be used to increase the reliability of lds, which is defined as a degree of pipeline's operators confidence, i.e. absence of false alarms and also system's ability to detect any kind of occurred leak.the most advanced solutions, aimed at leakage detection, are based on process dynamics models. an example of this method is the inverse analysis method [9,19] and also so called methods with automatic control approach [1,2, 10,11,16,18]. without doubt, the main advantage of both groups of methods is the ability to detect leaks in steady states as well as in transition states, resulting from a change in pipeline's operational conditions such as: an operating point change, valve's aperture and closure, pump's start-up or stoppage. However, ostaPkowIcz P, bratek a. Possible leakage detection level in transmission pipelines using improved simplified methods. eksploatacja i niezawodnosc -Maintenance and reliability 2016; 18 (3): 469-480, http://dx

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Section: The Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Possible leakage detection level in transmission pipelines using improved simplified methods

Ostapkowicz¹,

Bratek²

2016

EiN

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“…For natural gas pipeline the inspection method is as follows. Ge and Wang [4] used a physical model based on gas pipeline, combined with the negative pressure wave amplitude along the pipeline approximate exponential decay mechanism, an assessment of the proposed gas pipeline leak detection, and location system performance index method (minimum detectable amount of leakage). This method can solve the situation of small leaks in gas pipeline.…”

Section: Introductionmentioning

confidence: 99%

Research on Natural Gas Pipeline Leak Detection Algorithm and Simulation

Zhou

2015

Proceedings of the 2015 Chinese Intelligent Automation Conference

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In order to improve detection accuracy and reduce false alarm rate, research on gas pipeline leakage algorithm has extremely important significance. In this paper based on long pipe negative pressure wave algorithm, the adaptive Kalman filter detection method is proposed, which can overcome the shortage of wavelet transform method. An adaptive detection model is established using the data collected by pressure sensor. The location of leakage point can be calculated by time difference between the upstream and downstream through the Kalman Filter. The relative error and false alarm rate are estimated. Experimental results show that the improved method can reduce the false alarm rate. The adaptive Kalman filter detection method provides a useful method for the detection of natural gas pipeline leakage.Keywords Negative pressure wave Á Wavelet transform Á Adaptive Kalman filtering Á Detection technology IntroductionNatural gas is a necessary energy in people's daily life, and is closely related to people's life. As energy fuel distributed by the state it has received immense social attention today; natural gas is the most important energy being a clean green energy and being supplied directly to millions of households through gas pipelines. Because of the flammable characteristics of natural gas, it is mainly transported by pipelines [1]. The safe transportation of natural gas is a problem that must be solved as it has become the focus of people's worry and the country attaches great

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“…For stable signal, frequency domain analysis is generally adopted. The frequency feature of signals is extracted through Fourier transform [9], and for unstable signal, wavelet analysis method is adopted in most situations [10][11][12].…”

Section: De-noising Principle For Acoustic Emission Signal Based On Wmentioning

confidence: 99%

Optimizing Signal De-Noising Algorithm for Acoustic Emission Leakage of Wavelet

Wang¹,

Jiao²,

Yong-chao

et al. 2016

Cybernetics and Information Technologies

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Analysis of the smallest detectable leakage flow rate of negative pressure wave-based leak detection systems for liquid pipelines

Cited by 93 publications

References 3 publications

Possible leakage detection level in transmission pipelines using improved simplified methods

Possible leakage detection level in transmission pipelines using improved simplified methods

Research on Natural Gas Pipeline Leak Detection Algorithm and Simulation

Optimizing Signal De-Noising Algorithm for Acoustic Emission Leakage of Wavelet

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