Wear Detection of Automotive Spiral Bevel Gears Based on Delaunay Triangulation
Due to the coupled vertical vibration of the automotive rear axle spiral bevel gear,it is difficult to accurately detect gear wear.Therefore,a Delaunay triangulation method for automotive spiral bevel gear wear detection is proposed.By using a scanning method to measure discrete data on the gear surface,Delaunaytriangulation is performed on adjacent scan lines to com-plete non feature discrete data segmentation of the gear surface,achieving a comprehensive description of the gear surface area.Based on the data segmentation results,the LMD algorithm based on Hermite interpolation is used to traverse and calculate the amplitude of the PF component of the triangular mesh,and complete the detection of gear wear faults.The experimental results show that the wear depth and wear rate detection results of the proposed method are basically consistent with the measured results,and can effectively detect the area of gear wear area,with a detection accuracy of up to 98.7%.Therefore,it indicates that the proposed method can effectively detect gear wear.
Delaunay TriangulationAutomobile Spiral Bevel GearWear DetectionNon Characteristic Discrete Data Block
NETL
NSTL
万方数据
维普
