Keywords
Non-destructive testing
Electromagnetic detection method
Submitted : 2025-06-29
Accepted : 2025-07-14
Published : 2025-07-29
Abstract
In heavy-duty long-distance transmission scenarios, steel wire ropes are widely used due to their unique advantages, and their safety is very important, which has also led to the rapid development of non-destructive testing technology for steel wire ropes. The non-destructive testing technology for steel wire ropes is influenced by various factors such as its own structure and external working environment, and the testing process is relatively complex. Multiple testing methods and related types of sensors have also emerged. The electromagnetic detection method is currently the most effective method, but it also has its limitations in development and has not yet fully achieved the expected detection goals. In order to completely replace manual inspection work with the development of non-destructive testing technology for steel wire ropes, more in-depth research and long-term accumulation are still needed.
References
Zhao X, Zhu Z, 2023, Design and Optimization of Excitation Structure for Nondestructive Testing of Steel Wire Rope Based on Leakage Magnetic Principle. Instrument Technology and Sensors, (4): 31–35.
Zhang E, 2021, Research on Quantitative Magnetic Testing Technology for Multi-scale Defects in Steel Wire Rope, thesis, Harbin Institute of Technology, 13–17.
Yan X, 2019, Research on Key Technologies for Quantitative Detection of Metal Sectional Area Damage in Steel Wire Rope, thesis, Harbin Institute of Technology, 3.
Zhao J, 2023, Research on Damage Detection Method of Steel Wire Rope Based on Magnetic Characteristics, thesis, China University of Mining and Technology, 6.
Li C, Tan J, Tian J, 2006, Research Status and Trends of Tension Detection of Steel Wire Rope. Coal Mine Safety, 1: 53–55.
Ma Z, 2023, Research on High-speed Operation Wire Rope Breakage Detection Device Based on Multi-level Excitation Principle, thesis, China University of Mining and Technology, 8–9.
Wang M, 2023, Detection Method for Metal Cross-Sectional Area Loss of Steel Wire Rope Based on Magnetic Information, thesis, University of Electronic Science and Technology of China, 9–10.
Wang H, Chen G, 2020, Defect Size Estimation Method for Magnetic Flux Leakage Signals Using Convolutional Neural Networks, Insight-Non-Destructive Testing and Condition Monitoring, 62(2): 86–90.