3D reconstruction of AGS friction disk based on robust active-contour concentric conics. (January 2022)

• Record Type: Journal Article
• Authors: Xu, Guan; Shen, Hui; Zhu, Yaoping; Chen, Fang; Li, Xiaotao
• Is Part Of: Measurement. Volume 188(2022)
• Publication Date: 2022-01
• Subjects: 3D reconstruction -- Axle-end grounding system (AGS) -- Calibration -- Vision measurement; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2021.110582
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: Friction disk of axle-end grounding system is reconstructed by FPGA-active vision. Active-contour-based concentric conics are modeled for measurement system calibration. Se(3)-optimization-model is established to preserve orthogonality without constraint. Reconstruction and accuracy of the method are verified by experiments. Abstract: Axle-end grounding system (AGS) is an important assembly of the high-speed railway vehicle, which plays a significant role in protecting the gear box and vehicle bogie from the damage of the working current. We proposed a 3D reconstruction of the AGS friction disk with the active vision approach. The concentric conics are chosen as the feature on the calibration target for the efficient use of available degrees of freedom and the shape similarity of the annular abrasion. The target concentric conics are extracted from the active-contours with the enhanced initial operator to improve the iteration and noise immunity of the conic features under the noise condition. Moreover, the key idea is to derive a novel optimization model established in se(3), which preserves the orthogonality constraint of the measurement system and eliminates the redundancy constraint condition. The experiment and analysis verify that the measurement method provides high accuracy and reconstruction performance.