研究论文
Defect classification and quantification method based on AC magnetic flux leakage time domain signal characteristics
Rongbiao Wang, Yongzhi Chen, Haozhi Yu, Zhiyuan Xu, Jian Tang, Bo Feng, Yihua Kang, Kai Song
Nanchang Hangkong University Hefei General Machinery Research Institute (China) Huazhong University of Science and Technology
来源NDT & E International
年份2024
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逐年被引趋势
1470
1425
26
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23
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3.13
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同类平均 = 1
同类平均 = 1
前 7%
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36
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工程Non-Destructive Testing Techniques
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参考文献 36
Weak magnetic flux leakage: A possible method for studying pipeline defects located either inside or outside the structures
被引 89Bing Liu, Yang Cao, Hai Zhang · NDT & E International · 2015
Applications of Ultrasonic Techniques in Oil and Gas Pipeline Industries: A Review
被引 89Wissam M. Alobaidi, Entidhar Alkuam, Hussain M. Al‐Rizzo · American Journal of Operations Research · 2015
A fast method for rectangular crack sizes reconstruction in magnetic flux leakage testing
被引 71Yong Zhang, Zhongfu Ye, Chong Wang · NDT & E International · 2009
此处列出前 3 条
引用本文 23
Defect Depth Quantification Method Under Unknown Lift-Off Based on Time-Domain Magnetic Flux Leakage Signal Features
被引 4Rongbiao Wang, Yongzhi Chen, Xiangdong Xu · IEEE Transactions on Instrumentation and Measurement · 2025
Active compensation method for restraining high-speed MFL signals distortion based on atypical synthesized magnetic field
被引 3Žhong Yuan, Gang Wang, Liwei Wang · NDT & E International · 2025
The synergistic evolution of pipeline MFL inspection: A review on the fusion of physical models, AI, and multi-modal sensing
被引 2Zhichuan Qiu, Huang Ping, Fuyin Zheng · Sensors and Actuators A Physical · 2025
按被引量排序，此处列出前 3 条