[1] Li X. Analysis of the importance of pipeline integrity management[J]. Petrochemical Industry Technology, 24, 169(2017).

[2] Chen X D, Wang B, Guan W H et al. Present situation of use of in-service pressure vessels and pipelines in Chinese petrochemical enterprises, analysis of defect conditions and failure prevention countermeasures[J]. Pressure Vessel Technology, 18, 43-53(2001).

[3] Thompson R B. A model for the electromagnetic generation of ultrasonic guided waves in ferromagnetic metal polycrystals[J]. IEEE Transactions on Sonics and Ultrasonics, 25, 7-15(1978).

[4] Yang L J, Li Y, Sun J J et al. Reflection and transmission of laser ultrasonic waves on surface defects[J]. Laser & Optoelectronics Progress, 56, 041203(2019).

[5] Gu Y H, Zhang Z Z, Gao X H et al. Application of nondestructive detection of aluminum using laser ultrasonic technology and EMAT method[J]. Chinese Journal of Lasers, 47, 0504002(2020).

[6] Song Q. Data fusion for MFL signal characterization[J]. Applied Mechanics and Materials, 44/45/46/47, 3519-3523(2010).

[7] Fu M R, Liu J H, Zhang H G et al. Multisensor fusion for magnetic flux leakage defect characterization under information incompletion[J]. IEEE Transactions on Industrial Electronics, 68, 4382-4392(2021).

[8] Ma Z L, Liu H D. Temperature error compensation new method of MFL sensor to oil-gas pipeline corrosion inspection[J]. Advanced Materials Research, 204/205/206/207/208/209/210, 1026-1030(2011).

[9] Lim J, Ayoub A B, Psaltis D. Three-dimensional tomography of red blood cells using deep learning[J]. Advanced Photonics, 2, 026001(2020).

[10] Zhou T K, Fang L, Yan T et al. In situ optical backpropagation training of diffractive optical neural networks[J]. Photonics Research, 8, 940-953(2020).

[11] Guo X X, Barrett T D, Wang Z M et al. Backpropagation through nonlinear units for the all-optical training of neural networks[J]. Photonics Research, 9, B71-B80(2021).

[12] Chen S W, Shang Y, Wu M H. Application of PSO-ELM in electronic system fault diagnosis[C](2016).

[13] Lan Y, Han X H, Zong W W et al. Two-step fault diagnosis framework for rolling element bearings with imbalanced data based on GSA-WELM and GSA-ELM[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 232, 2937-2947(2018).

[14] Meng X B, Gao X Z, Lu L H et al. A new bio-inspired optimisation algorithm: bird swarm algorithm[J]. Journal of Experimental & Theoretical Artificial Intelligence, 28, 673-687(2016).

[15] Ye H C. Case analysis of oil and gas pipeline accidents and development status of corrosion detection methods[J]. Cleaning World, 37, 114-115(2021).

[16] Wang Y P. Research on corrosion mechanism and anti-corrosion technology of oil and gas gathering and transportation pipeline[J]. Total Corrosion Control, 35, 85-86(2021).

[17] Liu F. Anti-corrosion control measures for gas pipelines and their applications[J]. Cleaning World, 37, 34-35(2021).

[18] Lin J M, Zhang K L, Lin F B et al. Nondestructive testing of long gas and oil pipelines[J]. Nondestructive Testing, 41, 44-47, 52(2019).

[19] Sun Z H, Liu L, Chen K et al. Field application and analysis of ultrasonic guided waves in the corrosion monitoring of buried pipelines in Shengli oilfield[J]. Nei Jiang Science & Technology, 40, 20-22(2019).

[20] Liu X Q. Current status and prospects of corrosion detection technology for buried pipelines at home and abroad[J]. Guangdong Chemical Industry, 46, 138-139(2019).

[21] Huang G B, Zhu Q Y, Siew C K. Extreme learning machine: theory and applications[J]. Neurocomputing, 70, 489-501(2006).

[22] Zhou M R, Wang J G, Song H P et al. Application of kernel extreme learning machine and laser induction fluorescence technique in edible oil identification[J]. Laser & Optoelectronics Progress, 57, 203001(2020).

[23] Zong W, Huang G B, Chen Y. Weighted extreme learning machine for imbalance learning[J]. Neurocomputing, 101, 229-242(2013).

[24] Yu H L, Zhao N N, Wang P J et al. Chaos-enhanced synchronized bat optimizer[J]. Applied Mathematical Modelling, 77, 1201-1215(2020).

[25] Ding H Q, Wu Z Y, Zhao L C. Whale optimization algorithm based on nonlinear convergence factor and chaotic inertial weight[J]. Concurrency and Computation: Practice and Experience, 32, e5949(2020).

[26] Du Y J, Xu F F. A hybrid multi-step probability selection particle swarm optimization with dynamic chaotic inertial weight and acceleration coefficients for numerical function optimization[J]. Symmetry, 12, 922(2020).

[27] Lin W, Chu S N. Data fusion research in multi-sensor pipeline detection[J]. Journal of Natural Science of Heilongjiang University, 32, 397-403(2015).

[28] Wang Q H, Che W W, Wang Z W. Based on neural network data fusion algorithm defects in the pipeline damage identification on the application[J]. Total Corrosion Control, 27, 70-74(2013).