An Improved Method for Pipeline Leakage Localization With a Single Sensor Based on Modal Acoustic Emission and Empirical Mode Decomposition With Hilbert Transform

Xu, Changhang; Du, Shasha; Gong, Piao; Li, Zhenxing; Chen, Guo-Ming; Song, Gangbing

doi:10.1109/jsen.2020.2971854

Cited by 85 publications

(32 citation statements)

References 50 publications

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“…It can only detect the leaks but cannot identify the location and the time when the leaks occurred. So, in order to obtain an accurate and complete data of the leak, many techniques of signal analysis have been developed such as Wavelet Transform [6]- [8], Cepstrum Analysis [9]- [11], Empirical Mode Decomposition (EMD) [11]- [13], Ensemble Empirical Mode Decomposition (EEMD) [14], [15], and many more.…”

Section: Signal Analysis Methodsmentioning

confidence: 99%

Leak Detection in Pipelines Using Wavelet Transform and Cepstrum Analysis Methods

Priyandoko

Ghazali

2021

IJEEPSE

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Nowadays, a piping system is one of the important features in either home or industrial user. Leak in piping systems is a major operational problem around the world. Leaks result to loss in the fluid through the flow and automatically affect to the economy of the user. Objective of this research is utilizing the signal processing using Wavelet Transform and Cepstrum Analysis methods to leak detect in pipeline. After experiment has been completed, the data analysis process by using Matlab Software takes place. The result shows that the accuracy of the leak location detection is accurate with small error results below 10%.

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Section: Signal Analysis Methodsmentioning

confidence: 99%

Leak Detection in Pipelines Using Wavelet Transform and Cepstrum Analysis Methods

Priyandoko

Ghazali

2021

IJEEPSE

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“…The acoustic source coordinates were randomly selected from 5 locations. The cylindrical coordinates of the sensor used to receive the signal were (0, 0), (20, 0), and (10,20). In the experiment, one sensor was used to simulate the acoustic source, and the other sensor was used to receive the acoustic signal.…”

Section: Experimental Investigationmentioning

confidence: 99%

“…The huge potential for safety hazards, due to undetected damages, has made the structural health of cylindrical pressure vessels and tanks a perpetual concern for researchers. SHM strategies based on acoustic emissions (AE) have been widely used [ 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ] over the last several years. Traditional techniques work very well when the wave velocity variation in a cylindrical structure is low, the structure can be assumed to be isotropic, and the arrival times of the waves at all sensor locations are known [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Experimental Research on Rapid Localization of Acoustic Source in a Cylindrical Shell Structure without Knowledge of the Velocity Profile

Yin

Cui

et al. 2021

Sensors

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Acoustic source localization in a large pressure vessel or a storage tank-type cylindrical structure is important in preventing structural failure. However, this can be challenging, especially for cylindrical pressure vessels and tanks that are made of anisotropic materials. The large area of the cylindrical structure often requires a substantial number of sensors to locate the acoustic source. This paper first applies conventional acoustic source localization techniques developed for the isotropic, flat plate-type structures to cylindrical structures. The experimental results show that the conventional acoustic source localization technique is not very accurate for source localization on cylindrical container surfaces. Then, the L-shaped sensor cluster technique is applied to the cylindrical surface of the pressure vessel, and the experimental results prove the applicability of using this technique. Finally, the arbitrary triangle-shaped sensor clusters are attached to the surface of the cylindrical structure to locate the acoustic source. The experimental results show that the two acoustic source localization techniques using sensor clusters can be used to monitor the location of acoustic sources on the surface of anisotropic cylindrical vessels, using a small number of sensors. The arbitrarily triangle-shaped sensors can be arbitrarily placed in a cluster on the surface of the cylindrical vessel. The results presented in this paper provide a theoretical and experimental basis for the surface acoustic source localization method for a cylindrical pressure vessel and lay a theoretical foundation for its application.

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“…In SHM of civil infrastructure, notable research based on advanced algorithms, such as damage index-based damage assessment [ 8 , 9 ], image-based damage locating [ 10 ] and artificial intelligence algorithms [ 11 ], have been reported to provide solutions to real-time monitoring and early warning of civil infrastructure [ 12 , 13 ] by using various sensors, such as strain gauges [ 14 , 15 ], piezoelectric transduces [ 16 , 17 ], optical fiber sensors [ 18 , 19 ], etc. With advantages of low cost, wide bandwidth [ 20 ] and quick time response [ 21 , 22 ], apart from in SHM of civil infrastructure, piezoelectric transducers have also been widely used in other fields, including aerospace [ 23 , 24 , 25 , 26 ], transportation [ 27 , 28 ] and energy [ 29 , 30 ], and they have displayed good applicability in both passive and active situations [ 31 , 32 ], such as vibration sensing [ 33 ], acoustic emission [ 34 ], active sensing and electromechanical impedance-based damage detection [ 35 , 36 , 37 ].…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Novel Piezoceramic Stack-based Smart Aggregate

Zhu

Wang

et al. 2020

Sensors

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A novel piezoceramic stack-based smart aggregate (PiSSA) with piezoceramic wafers in series or parallel connection is developed to increase the efficiency and output performance over the conventional smart aggregate with only one piezoelectric patch. Due to the improvement, PiSSA is suitable for situations where the stress waves easily attenuate. In PiSSA, the piezoelectric wafers are electrically connected in series or parallel, and three types of piezoelectric wafers with different electrode patterns are designed for easy connection. Based on the theory of piezo-elasticity, a simplified one-dimensional model is derived to study the electromechanical, transmitting and sensing performance of PiSSAs with the wafers in series and parallel connection, and the model was verified by experiments. The theoretical results reveal that the first resonance frequency of PiSSAs in series and parallel decreases as the number or thickness of the PZT wafers increases, and the first electromechanical coupling factor increases firstly and then decrease gradually as the number or thickness increases. The results also show that both the first resonance frequency and the first electromechanical coupling factor of PiSSA in series and parallel change no more than 0.87% as the Young’s modulus of the epoxy increases from 0.5 to 1.5 times 3.2 GPa, which is helpful for the fabrication of PiSSAs. In addition, the displacement output of PiSSAs in parallel is about 2.18–22.49 times that in series at 1–50 kHz, while the voltage output of PiSSAs in parallel is much less than that in parallel, which indicates that PiSSA in parallel is much more suitable for working as an actuator to excite stress waves and PiSSA in series is suitable for working as a sensor to detect the waves. All the results demonstrate that the connecting type, number and thickness of the PZT wafers should be carefully selected to increase the efficiency and output of PiSSA actuators and sensors. This study contributes to providing a method to investigate the characteristics and optimize the structural parameters of the proposed PiSSAs.

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An Improved Method for Pipeline Leakage Localization With a Single Sensor Based on Modal Acoustic Emission and Empirical Mode Decomposition With Hilbert Transform

Cited by 85 publications

References 50 publications

Leak Detection in Pipelines Using Wavelet Transform and Cepstrum Analysis Methods

Leak Detection in Pipelines Using Wavelet Transform and Cepstrum Analysis Methods

Experimental Research on Rapid Localization of Acoustic Source in a Cylindrical Shell Structure without Knowledge of the Velocity Profile

Design and Analysis of a Novel Piezoceramic Stack-based Smart Aggregate

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