Negative Pressure Waves Based High Resolution Leakage Localization Method Using Piezoceramic Transducers and Multiple Temporal Convolutions

Zhang, Guangmin; Ho, Siu Chun Michael; Huo, Linsheng; Zhu, Junxiao

doi:10.3390/s19091990

Cited by 14 publications

(3 citation statements)

References 78 publications

(86 reference statements)

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“…Basic Principles of VMD. In the VMD algorithm, the eigenmode function (IMF) is redefned and the concept of bandwidth-limited eigenmode function (BIMF) is proposed [10], which is defned as follows:…”

Section: Research On the Vibration Signal Processing Methodsmentioning

confidence: 99%

The Leakage Identification and Location of Ship Pipeline System Based on Vibration Signal Processing

Pan

Chang

et al. 2023

Complexity

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The leakage of the ship’s pipeline system will bring great risks to the engine equipment and seriously threaten the vitality of the ship. In this paper, the pipeline leakage detection and localization research are carried out based on the vibration signal generated by pipeline leakage. First, the finite element model of the pipeline is constructed to obtain the variation law of the vibration signal when the pipeline leaks are carried out. Second, the vibration signal is processed based on the variational mode decomposition (VMD) and radial basis function (RBF) neural networks. The wavelet packet threshold noise reduction is conducted before signal decomposition to improve the signal-to-noise ratio. Then, the denoised signal is decomposed by VMD. The effective component is identified by analyzing the correlation coefficient between the component and the denoised signal. The center frequency and energy of the effective component are used as feature vector to train the RBF neural network to identify and locate leakage. Finally, a pipeline leakage test platform is built under laboratory conditions. After processing the data samples collected from the test, the RBF neural network is trained to identify and locate leaks. The test sample identification results show that the leak identification and localization method based on VMD-RBF has a high accuracy.

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Section: Research On the Vibration Signal Processing Methodsmentioning

confidence: 99%

The Leakage Identification and Location of Ship Pipeline System Based on Vibration Signal Processing

Pan

Chang

et al. 2023

Complexity

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“…[15][16][17] However, since the NPW velocity is very fast (approximately 300 m/s in gas, approximately 1000 m/s in liquid), some traditional pressure sensors and lead zirconate titanate (PZT) sensors are unable to accurately capture the NPW signal in time due to their low sensitivity, resulting in inaccurate NPW arrival time measurements and low leak localization accuracy. [18][19][20] In terms of pipeline corrosion monitoring, a large number of pipeline corrosion monitoring sensors based on different corrosion monitoring techniques have been developed within the last two decades. For example, electrical resistance (ER) probes are conventional sensors used for corrosion rate monitoring with automatic capability.…”

Section: Introductionmentioning

confidence: 99%

Pipeline leak detection and corrosion monitoring based on a novel FBG pipe-fixture sensor

Wang

Ren

Jia

et al. 2021

Structural Health Monitoring

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Pipeline leakage and pipeline internal corrosion are two serious threats to pipeline safety operation. In this study, based on the measurement theory of pipeline internal diameter variation and a numerical simulation analysis of existing sensor shortcomings, a novel FBG pipe-fixture sensor is designed and developed to detect pipeline leakage and monitor pipeline internal corrosion simultaneously. A calibration test is conducted, and the test results indicate that the FBG pipe-fixture sensor solves the problem of a large difference between the test values and the theoretical values and eliminates the limitation of measurement range. To validate the actual performance of the sensor, a pipeline leak detection test and a pipeline internal corrosion monitoring test are, respectively, conducted on a steel pipe leak test platform and a steel pipe with different simulated corrosion levels. The test results demonstrate that the FBG pipe-fixture sensor can effectively detect pipe leakage and decrease the localization error of the leakage point to within 1 m. The sensor can also effectively monitor pipe internal corrosion and evaluate the internal corrosion degree with a measurement accuracy of 0.1 mm. The novel FBG pipe-fixture sensor may be a potential sensor for pipeline leak detection and pipeline internal corrosion monitoring.

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“…In the last few decades, many pipeline structural health monitoring techniques have been used to monitor damages [1,2]. One of the promising methods for pipeline leakage detection is based on the negative pressure wave (NPW) [3][4][5][6][7]. NPW is generated at the leak point when the fluid or gas escapes in the form of a high velocity jet [8].…”

Section: Introductionmentioning

confidence: 99%

Hidden Markov Models for Pipeline Damage Detection Using Piezoelectric Transducers

Zhang,

Chen,

2020

Preprint

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Oil and gas pipeline leakages lead to not only enormous economic loss but also environmental disasters. How to detect the pipeline damages including leakages and cracks has attracted much research attention. One of the promising leakage detection method is to use lead zirconate titanate (PZT) transducers to detect the negative pressure wave when leakage occurs. PZT transducers can generate and detect guided stress waves for crack detection also. However, the negative pressure waves or guided stress waves may not be easily detected with environmental interference, e.g., the oil and gas pipelines in offshore environment. In this paper, a Gaussian mixture model based hidden Markov model (GMM-HMM) method is proposed to detect the pipeline leakage and crack depth in changing environment and timevarying operational conditions. Leakages in different sections or crack depths are considered as different states in hidden Markov models (HMM). Laboratory experiments show that the GMM-HMM method can recognize the crack depth and leakage of pipeline such as whether there is a leakage, where the leakage is.

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Negative Pressure Waves Based High Resolution Leakage Localization Method Using Piezoceramic Transducers and Multiple Temporal Convolutions

Cited by 14 publications

References 78 publications

The Leakage Identification and Location of Ship Pipeline System Based on Vibration Signal Processing

The Leakage Identification and Location of Ship Pipeline System Based on Vibration Signal Processing

Pipeline leak detection and corrosion monitoring based on a novel FBG pipe-fixture sensor

Hidden Markov Models for Pipeline Damage Detection Using Piezoelectric Transducers

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