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Matlab GUI for SVAJ Cam Analysis Diagrams

机译:MATLAB GUI用于摇摆CAM分析图

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An alternative faster method for cam mechanism displacement parameters analysis based on image processing and Artificial Neural Network (ANN) is proposed. The method is developed in Matlab and consists of a Graphical User Interface that displays the cam-follower position, velocity, acceleration and jerk diagrams (svaj) versus the angle of rotation of the cam. These diagrams are generated for four types of cams based on a preliminary elevation curves of the cam-follower obtained with help of GL 112 cam analysis apparatus. The method reduces the time for calculating the parameters and the results can be compared with the ones from analytical method. The image processing algorithm considered is based on a set of images taken with a HD camera of the investigated cams. These images are further processed in order to train an ANN which it finally conducts to automatically identifying the cams.
机译:提出了一种基于图像处理和人工神经网络(ANN)的凸轮机构位移参数分析的替代方法。该方法是在MATLAB中开发的,由图形用户界面组成,显示凸轮从动位置,速度,加速度和抽搐图(SVAJ)与凸轮的旋转角度。基于通过GL 112 CAM分析装置的帮助获得的凸轮跟随器的初步升高曲线,为四种类型的凸轮产生这些图。该方法减少了计算参数的时间,并且可以将结果与来自分析方法的结果进行比较。所考虑的图像处理算法基于用研究凸轮的HD摄像机拍摄的一组图像。进一步处理这些图像以训练它最终进行以自动识别凸轮的ANN。

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