闸调器疲劳试验机图像监测系统的研究  

Research on Image Monitoring System of the Brake Slack Adjuster Fatigue Testing Equipment

作　　者：李萍[1] 蒋智[1] 李亚荣[1] 宋健飞[1] 

机构地区：[1]大连交通大学机械工程学院,辽宁大连116028

出　　处：《铁道学报》2008年第4期112-115,共4页Journal of the China Railway Society

摘　　要：简要介绍闸调器疲劳试验机图像监测系统的结构原理;提出1种基于粗糙集理论的闸调器疲劳试验图像监测方法,分别从对闸调器疲劳试验过程中的状态图像进行调制和编码、根据粗糙集理论对图像像素信息进行处理、利用探针法对图像中的特征信息进一步简化等3方面进行讨论;给出状态判断向量,根据图像分析的结果可准确识别疲劳试验中闸调器的工作状态,在分析各状态参数的基础上判断出闸调器疲劳试验过程中的主要故障。试验表明,处理1幅图片的时间不超过55 ms。基于该方法的闸调器疲劳试验机监测系统可以取代人工监测。The structure and principle of the image monitoring system for the brake slack adjuster fatigue testing equipment are introduced in brief. The image monitoring method based on the rough set theory and used for brake slack adjuster fatigue testing is proposed. This method is discussed in three aspects： modulating and en- coding of collected state images, handling of pixel information by using the rough set theory, using of the probe method to simplify the characteristic information of images. Provided state judging vectors are given, the work- ing states of the brake slack adjuster in fatigue testing can be identified accurately on the basis of image analy- zing results and the main faults in the testing process can be found out with the help of state parameters analysis. The test results show that the time to process a picture is less then 55ms and manual monitoring can be substituted by the proposed monitoring system.

关 键 词：闸调器疲劳试验机 粗糙集 图像处理 探针法 

分 类 号：U260.14[机械工程—车辆工程]