摘要
基于图像的振动检测技术是一种大范围、非接触的振动检测技术,得到了广泛的研究。针对一般视觉检测中的图像特征提取等问题,提出了基于复小波分解的离面振动测量方法,推导了图像复小波变换系数相位变化与结构离面振动位移之间的关系。同时对悬臂梁和电机进行了验证测试实验,并与有限元仿真、边缘检测以及常规加速度振动检测进行了对比,结果表明该方法可以准确提取出振动频率信息,并且系统简单、成本低、不需要特征跟踪、边缘提取等复杂算法。
Vibration detection based on image technology is a large range, non-contact vibration testing technology, which has been studied widely. Aiming at the problems such as image feature extraction in the visual inspection, the method of measuring out-of-plane vibration based on CWT was proposed in the paper. The relationship between the phases of CWT and the vibration displacement of the structure was deduced. In addition, vibration test experiments on cantilever beam and motor were carried out. Compared with finite element simulation, edge extraction and acceleration sensors, it shows that the method of the paper, which has a simple system, low cost and no need of complex algorithms such as feature tracking, edge extraction, can extract the vibration frequency information accurately. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.
出处
《振动与冲击》
EI
CSCD
北大核心
2017年第8期60-64,共5页
Journal of Vibration and Shock
基金
国家自然科学基金(51105396)
中央高校基本科研业务费(CDJZR13115501)
关键词
复小波变换
离面振动
振动检测
机器视觉
Computer vision
Extraction
Feature extraction
Testing
Vibration analysis