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        Defect Detection of Oil and Gas Pipeline using Remote Field Eddy Current Technology

        Mingjiang Shi,Lin Feng,Zhiqiang Huang,Mengfei Zhang,Hao Wen,Qing Liu 한국자기학회 2019 Journal of Magnetics Vol.24 No.3

        To solve the problem of wall thickness reduction and defects of oil and gas pipeline caused by corrosion or erosion, a remote field eddy current (RFEC) testing method with coaxial double coil structure is proposed to detect corrosion residual wall thickness of oil and gas gathering pipelines. Based on electromagnetic field theories, RFEC technology is theoretically analyzed. The theoretical model of RFEC detection for coaxial double coil structure is established. The relationship between the voltage phase of detection signal and the wall thickness of pipeline is derived, and an evaluation method of the residual wall thickness of the pipeline based on the phase trough time of the RFEC detection signal is proposed. The parameters of RFEC probe are optimized by Finite Element Method, and the detection system is designed on the basis of it. The practicability and the correctness of the theoretical model of the detection system are verified by experiments. It can be used to detect the residual wall thickness of pipelines in real time under different media conditions.

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        Research on Denoising Method of Metal Magnetic Memory Signal

        Mingjiang Shi,Mengfei Zhang,Li Gu,Zhiqiang Huang,Lin Feng,Qing Liu 한국자기학회 2020 Journal of Magnetics Vol.25 No.4

        As the main transportation mode of oil and gas, oil and gas pipelines play an irreplaceable role in energy transportation. Metal magnetic memory detection technology can detect early stress concentration and invisible damage, and can be detected under the action of the geomagnetic field, without the need to magnetize the pipeline in advance. Since the magnetic memory signal is relatively weak, the actual detected signal will be affected by environmental noise, sensor jitter, and pipeline surface deposits. Therefore, the magnetic memory signal needs to be denoised. In this paper, the translation invariant wavelet denoising method, which is improved based on wavelet threshold denoising method, is used to denoise the collected pipeline magnetic memory signals. The experimental results show that the signal-to-noise ratio (SNR) obtained by this method is 4.97 % higher than the unmodified wavelet threshold denoising, and 3.18 % higher than the SNR obtained by the particle swarm optimization wavelet threshold denoising.

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        Transcriptome characterization and profiling related to detoxification enzyme genes in Chilo sacchariphagus (Lepidoptera Crambidae)

        Liu Jianbai,Yi Jiequn,Wu Han,Lu Yinglin,Mao Yongkai,Lin Mingjiang,Li Jihu,An Yuxing 한국곤충학회 2022 Entomological Research Vol.52 No.9

        Chilo sacchariphagus Bojeris is one of the most dangerous pests of sugarcane. The larvae damage the seedlings and stems of sugarcane and also harm sorghum, corn and other crops, which causes great economic losses to the sugar industry every year. Transcriptome sequencing and expression profile analysis of cytochrome P450 monooxygenase (CYP), carboxylesterase and glutathione S-transferase (GST) were carried out, which could provide a basis for drug resistance monitoring and drug resistance management of the pest. Unigenes of C. sacchariphagus were obtained by using the Illumina HiSeqTM 4,000 platform as 150 bp paired-end reads. A total of 173,013 unigenes were obtained after data assembly and redundancy removal. 28,330 unigenes were annotated based on multiple public databases, and the number of unigenes annotated by NR database was the largest. According to the transcriptome analysis, 214 candidate detoxification enzyme genes were identified, including 44 GSTs,138CYPs, and 32 CarEs. Phylogenetic analysis showed that the CYPs were mainly clustered in CYP4, CYP6, CYP9 and CYP12 subfamilies; CarEs mainly include antennal CarEs, venom CarEs and CarEs NOTUM; while the GSTs cluster mainly contains subfamilies such as delta, omega, epsilon, theta, zeta and sigma. In this study, transcriptome information of C. sacchariphagus was obtained, and genes related to detoxification were identified, which could provide data and a basis for the further study of detoxification and host plant adaptation mechanism of C. sacchariphagus.

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