Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0412001(2023)
Data Fusion Method for Multi-Sensor Detection of Pipeline Defects
Figures & Tables(10)
Fig. 3. Data fusion method for multi-instrument pipeline defect detection based on IBSA-WRELM
Fig. 5. Crack standard defects. (a) Perforation standard defect; (b) pitting standard defect; (c) groove standard defect; (d) axial crack standard defect
Fig. 6. Bird initialization results. (a) Cubic chaos initialization; (b) random initialization
Fig. 8. Error comparison diagrams. (a) Error of coordinate axis x; (b) error of coordinate axis y; (c) error of defect size x; (d) error of defect size y; (e) error of defect size z
Table 1. Test data
View tableTable 1. Test data
No. Parameter Standard defect /mm Electromagnetic ultrasonic guided waves output /mm Magnetic flux leakage output /mm Eddy current output /mm 1 Location x 35.63 35.63 35.72 35.78 Location y －59.47 －59.41 －59.27 －59.45 Size a 1.64 1.71 1.67 1.60 Size b 1.12 1.12 1.11 1.22 Size c 1.34 1.31 1.40 1.34 2 Location x 22.70 22.84 22.86 22.73 Location y 22.87 22.87 22.89 22.00 Size a 0.57 0.77 0.75 0.52 Size b 1.50 1.44 1.54 1.33 Size c 1.97 1.92 2.01 2.14
Table 2. Average relative error of fusion data
View tableTable 2. Average relative error of fusion data
Data fusion Location x /% Location y /% Size x /% Size y /% Size z /% Error of fusion algorithm /% IBSA-WRELM 1.21 4.10 3.10 4.20 2.72 2.33 BSA-ELM 25.09 13.74 43.75 69.01 34.69 37.26 PSO-ELM 12.32 10.97 18.61 11.42 9.65 12.59 ELM 34.71 22.41 42.87 71.36 70.04 48.28 D-S NN 22.17 12.37 20.76 14.52 18.19 17.60 F-CONFIS D-S NN 8.57 5.82 7.87 10.28 7.61 8.03
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Haibo Liang, Gang Cheng, Zhidong Zhang, Hai Yang, Shun Luo. Data Fusion Method for Multi-Sensor Detection of Pipeline Defects[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0412001
Paper Information
Category: Instrumentation, Measurement and Metrology
Received: Oct. 26, 2021
Accepted: Dec. 22, 2021
Published Online: Feb. 14, 2023
The Author Email: Liang Haibo (secondbo@swpu.edu.cn)
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