基于剪切波变换对Si3N4陶瓷轴承内圈沟道表面缺陷检测的分析
Surface defect detection and analysis of Si3N4 ceramic bearing inner ring raceway based on shearlet transform
廖达海 1殷明帅 1罗宏斌 2张鑫 2李汶洁2
作者信息
- 1. 景德镇陶瓷大学机械电子工程学院,江西景德镇 333403;景德镇陶瓷大学江西省陶瓷材料加工技术工程实验室,江西景德镇 333403
- 2. 景德镇陶瓷大学机械电子工程学院,江西景德镇 333403
- 折叠
摘要
为有效检测航空动力系统中Si3N4陶瓷轴承内圈沟道表面凹坑、划痕、擦伤的缺陷.采用中值滤波除去Si3N4陶瓷轴承内圈沟道原始图像零散噪点,对其处理图像进行剪切波变换,归一化阈值曲面法对变换后的剪切波系数进行重构、剪切波逆变换获取缺陷增强图像,对缺陷增强图像进行灰度阈值分割与识别分类,定位提取缺陷.基于剪切波变换的Si3N4陶瓷轴承内圈沟道的表面缺陷检测方法能有效的检测出Si3N4陶瓷轴承内圈沟道表面的缺陷.该方法对Si3N4陶瓷轴承内圈沟道表面缺陷提取的准确率可达97.50％,具有高精度与高准确性,满足预期要求.
Abstract
To effectively detect the defects of pits,scratches and abrasions on the raceway surface of Si3N4 ceramic bearing inner ring in aviation power system,median filter was used to remove original image scattered noise of Si3N4 ceramic bearing inner ring channel,and conduct its processing image's shear wave transform,and the normalized threshold surface method was adopted to reconstruct the conversion coefficient of shear wave,enable shear wave inverse transformation for defect enhancing image,gray threshold segmentation for defect enhancing image classification and recognition,and position to extract the defect.The surface defect detection method of Si3N4 ceramic bearing inner racetrack based on shear wave transform can effectively detect the surface defect of Si3N4 ceramic bearing inner racetrack.This method can extract surface defects of inner raceways of Si3N4 ceramic bearing with 97.50％accuracy,which can meet the expected requirements.
关键词
Si3N4陶瓷轴承内圈/剪切波变换/表面缺陷检测/缺陷增强/缺陷提取Key words
Si3N4 ceramic bearinginner ring/shearlet transform/surface defect detection/defect enhancement/defect extraction引用本文复制引用
基金项目
国家自然科学基金(51964022)
江西省自然科学基金(20212BAB214033)
江西省自然科学基金(20212ACB204012)
出版年
2024
NETL
NSTL
万方数据