• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2026, Vol. 62 ›› Issue (4): 86-97.doi: 10.3901/JME.260108

Previous Articles    

Novel Infrared Visual Detection Method for Surface Defects of Steel Wire Rope Using Eddy Current Thermal Imaging

ZHOU Ping1,2,3, ZHOU Gongbo1,2,3, WANG Hanyu1, WANG Pan1, YAN Xiaodong1,2,3, LI Yuanbo1   

  1. 1. School of Electrical and Mechanical Engineering, China University of Mining and Technology, Xuzhou 221116;
    2. State Key Laboratory of Intelligent Mining Equipment Technology, Xuzhou 221116;
    3. State Key Laboratory of High-end Mining Equipment (Cultivation Site), Xuzhou 221116
  • Received:2025-02-19 Revised:2025-08-09 Published:2026-04-02

Abstract: As essential lifting, traction, and bearing components, wire ropes(WRs) are prone to surface breakage during service, which seriously impacts the operational safety of the rope system. Given that the traditional visual detection method is susceptible to the oil on the surface of the WR, pulsed eddy current thermography is introduced. Combined with the heat conduction properties of the metal components of the WR, an infrared thermal vision-based detection method is proposed for identifying surface defects. Firstly, the mechanism of induction heating and the temperature distribution of broken wire defects are investigated through pulsed eddy current thermal imaging simulation. Secondly, the thermal vision detection system for wire rope breakage defects is constructed, and the characterization and signal processing method for wire rope breakage defects based on pulsed eddy current thermal imaging is designed. Then, the infrared thermal image dataset of surface defect of the WR is established, and the YOLOv5_WR-seg model based on the deep target detection network is designed to detect and identify the broken wire defect of the WR. Finally, the influence of oil and grease on the surface of the wire rope in service on the infrared thermal vision detection method is studied to achieve the detection of broken wire defects covered by oil and grease and overcome the visual interference of oil and grease on the detection of broken wire defects. The experimental results indicate that the proposed method can accurately detect wire rope surface breakage defects with or without oil contamination.

Key words: pulse eddy current thermal imaging, infrared visual, wire ropes, broken wire defect, object detection network

CLC Number: