Application of non-contact magnetic corresponding on the detection for natural gas pipeline

Zeng, Weiguo; Dang, Xiaofeng; Li, Shuhua; Wang, Hongmei; Wang, Hao; Wang, Bo

doi:10.1051/e3sconf/202018501090

Cited by 7 publications

(4 citation statements)

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“…Traditional non-destructive testing methods (NDT) for pipeline corrosion include visual inspection, magnetic flux leakage detection, eddy current detection, ultrasonic tomography, and X-ray technology [ 8 , 9 , 10 , 11 , 12 ]. Visual inspection relies on the expertise of inspectors, and thus, its reliability of results is not guaranteed.…”

Section: Introductionmentioning

confidence: 99%

A Novel Pipeline Corrosion Monitoring Method Based on Piezoelectric Active Sensing and CNN

Yang

Zhang

Zhou³

et al. 2023

Sensors

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In this study, a piezoelectric active sensing-based time reversal method was investigated for monitoring pipeline internal corrosion. An effective method that combines wavelet packet energy with a Convolutional Neural Network (CNN) was proposed to identify the internal corrosion status of pipelines. Two lead zirconate titanate (PZT) patches were pasted on the outer surface of the pipeline as actuators and sensors to generate and receive ultrasonic signals propagating through the inner wall of the pipeline. Then, the time reversal technique was employed to reverse the received response signal in the time domain, and then to retransmit it as an excitation signal to obtain the focused signal. Afterward, the wavelet packet transform was used to decompose the focused signal, and the wavelet packet energy (WPE) with large components was extracted as the input of the CNN model to rapidly identify the corrosion degree inside the pipeline. The corrosion experiments were conducted to verify the correctness of the proposed method. The occurrence and development of corrosion in pipelines were generated by electrochemical corrosion, and nine different depths of corrosion were imposed on the sample pipeline. The experimental results indicated that the classification accuracy exceeded 99.01%. Therefore, this method can quantitatively monitor the corrosion status of pipelines and can pinpoint the internal corrosion degree of pipelines promptly and accurately. The WPE-CNN model in combination with the proposed time reversal method has high application potential for monitoring pipeline internal corrosion.

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Section: Introductionmentioning

confidence: 99%

A Novel Pipeline Corrosion Monitoring Method Based on Piezoelectric Active Sensing and CNN

Yang

Zhang

Zhou³

et al. 2023

Sensors

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show abstract

“…It has great application prospects in internal stress detection of pipelines [ 16 ]. This technology has been widely used to detect pipeline defects [ 17 , 18 , 19 , 20 , 21 ]. Under internal pressure and external loading of oil and gas pipelines, abnormal stress distribution may occur at the microcracks of welded pipelines.…”

Section: Introductionmentioning

confidence: 99%

Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure

Liu

et al. 2023

Sensors

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Weak magnetic detection technology is an effective method to identify stress-induced damage to ferromagnetic materials, and it especially possesses great application potential in long-distance oil and gas pipeline weld crack detection. In the process of pipeline operation, due to internal pressure and external loads, local stress concentration may be generated, and partial stress concentration may lead to local cracks and expansion of the pipe. In order to improve the accuracy of magnetic signal analysis for ferromagnetic materials under internal pressure, the causes of magnetic signal generation at pipeline welds were analyzed from a microscopic perspective. The distributions of magnetic signals at pipeline welds, weld cracks, and base metal cracks under different internal pressures were numerically analyzed. The variation trends of magnetic signal characteristics, such as peak values of axial and radial components, gradient K, maximum gradient Kmax, and gradient energy factor S(K), were analyzed. In addition, experiments were carried out to verify the numerical data. It was revealed that with the elevation of internal pressure, the peak values of the axial and radial components, gradient K, maximum gradient Kmax, and gradient energy factor S(K) linearly increased. However, the magnitude and average change of S(K) were larger, which can more directly indicate variations of magnetic signals. The radial growth rate νy of S(K) was 3.24% higher than the axial growth rate νx, demonstrating that the radial component of the magnetic signal was more sensitive to variations of stress. This study provided a theoretical and experimental basis for detection of stress-induced damage to long-distance oil and gas pipelines.

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“…The corrosion inspection methods in pipelines mainly include: magnetic flux leakage method, eddy current measurement method, ultrasonic method, percussion method, among others [3]. The above mentioned non-destructive test techniques usually inspect the pipeline at a fixed time interval, and it is difficult to realize real-time monitoring of the pipeline.…”

Section: Introductionmentioning

confidence: 99%

Study on pipeline corrosion monitoring based on piezoelectric active time reversal method

Yang

Zhang

Wang

et al. 2023

Smart Mater. Struct.

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Pipeline corrosion, especially inner wall corrosion, will cause serious safety accidents. It is important to monitor the corrosion inside the pipeline to reduce the potential risk.Considering the thickness of the pipe wall will become thinner due to the corrosion which will cause the attenuation of the propagated ultrasonic signal energy. Based on this, A novel method for real-time monitoring of pipeline inner wall corrosion using piezoelectric active sensing technology combined with time reversal method is proposed. Two PZT patches are bonded on the outer surface of the pipe as an actuator and a sensor to generate and receive ultrasonic signals propagating in the pipeline wall, respectively. With the time reversal method, the received response signal is reversed in the time domain and then re-emitted as an excitation signal again. Then the time reversal focused signal which represents the signal energy is obtained. By analyzing the received signal energy, that is the focused signal peak, the corrosion state in the inner wall of pipeline can be judged. Experiments are performed to verify the proposed method. In the experiments, the electrochemical corrosion is used to generate the occurrence and evolution of erosion inside the pipeline. Eight different corrosion states of three sample pipelines were studied at different corrosion time. The experimental results show that the peak amplitude of the focused signal decreases with the increase of corrosion time with good repeatability. The method is feasible in pipeline corrosion monitoring, especially in monitoring of the early pipeline corrosion, which has a good application prospect.

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Application of non-contact magnetic corresponding on the detection for natural gas pipeline

Cited by 7 publications

References 0 publications

A Novel Pipeline Corrosion Monitoring Method Based on Piezoelectric Active Sensing and CNN

A Novel Pipeline Corrosion Monitoring Method Based on Piezoelectric Active Sensing and CNN

Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure

Study on pipeline corrosion monitoring based on piezoelectric active time reversal method

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