AUTHOR=Zhiming Huang , Shuo Wang , Hongbing Wen , Zixin Li 
  
TITLE=A cable tension measurement method for transmission lines based on micro-vibration broadband phase motion magnification and deep learning
  
JOURNAL=Frontiers in Mechanical Engineering
  
VOLUME=Volume 11 - 2025
  
YEAR=2026
  
URL=https://www.frontiersin.org/journals/mechanical-engineering/articles/10.3389/fmech.2025.1712049
  
DOI=10.3389/fmech.2025.1712049
  
ISSN=2297-3079
  
ABSTRACT=IntroductionCable components are widely used in transmission lines, and their tension values and variations are critical factors affecting the intrinsic safety of these lines. Thus, tension monitoring becomes a priority during both construction and operational maintenance. Traditional cable tension measurement methods suffer from limitations such as low accuracy, stringent environmental requirements, and difficulties in live-line monitoring, resulting in a lack of universality for application in transmission lines.MethodsThis paper utilizes visual image technology and Broadband Phase Motion Magnification to amplify the micro-vibration amplitude and enhance the vibration images of transmission line cable- type components under environmental excitation. Furthermore, this study develops a combined segmentation algorithm using the U-Net network architecture and level set loss entropy to accurately capture the centroid motion trajectory of cables, thereby precisely extracting the vibration displacement time series. Finally, spectrum analysis is applied to invert the self-vibration characteristic parameters of the components and establish a tension calculation model.ResultsExperimental verification shows that the proposed method can precisely capture the micro-vibration signals induced by environmental excitation. The tension calculation results, when compared to standard sensor data, have a deviation of no more than 8%.DiscussionThis method successfully establishes a non-contact, high-precision measurement system for cable-type components, providing a new technical pathway for intelligent monitoring during the construction and maintenance of transmission lines.