基于改进灰度重心法的轨道扣件重构与故障诊断

Author:

Xiao Zhen 肖圳,Sun Shizheng 孙世政,Zheng Tiancheng 郑天成,Pang Ke 庞珂,Wei Zijie 魏子杰

Publisher

Shanghai Institute of Optics and Fine Mechanics

Reference26 articles.

1. 基于计算机视觉的轨道扣件缺陷自动检测算法研究;刘甲甲;铁道学报,2016

2. Research on automatic inspection algorithm for railway fastener defects based on computer vision;B L Li;Journal of the China Railway Society,2016

3. Detection of range-based rail gage and missing rail fasteners: use of high-resolution two- and three-dimensional images;D F Llorca;Transportation Research Record: Journal of the Transportation Research Board,2014

4. Intelligent detection of rail fastener state based on 2D and 3D laser images;W T Chen;Instrument Technique and Sensor,2022

5. 基于2D与3D激光图像的轨道扣件状态智能检测;陈文婷;仪表技术与传感器,2022

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Tightness Detection Method for Railway Fasteners Based on RGB-P Bimodal Data;IEEE Transactions on Instrumentation and Measurement;2024

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