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电磁阀协同动作特性曲线特征点提取研究 被引量:1

Research on Characteristic Point Extraction of Coordination Action Curve for Electromagnetic Valve
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摘要 在电磁阀协同动作特性测试中,协同动作特性曲线特征点的准确提取直接关系到测试精度,乃至测试的成败。提出了一种基于最短距离法的特征点提取方法。该方法首先对特性曲线进行滤波处理,然后由该特征点附近的两个点构成一条直线,通过取这两个点之间的所有点到该直线距离的最大值,从而得出该特征点的准确位置。试验结果表明,该方法定位精度高,采用该法后电磁阀协同动作时间测量精度可达0.5 ms,满足测试标准要求。 In the test of the electromagnetic valve coordination acuon, me cnaractertion curve has a direct impact on the test precision of the entire hydraulic system, and even the success of the test. A new characteristic points extraction algorithm based on the shortest distance method is proposed. Firstly the characteristic curve is performed filter, then a straight line that the two points near the characteristic points is constituted. By taking the maximum distance of all the points between two points to the straight line, the ex act location of the characteristic points is gotten. The results show that this method has a high positioning accu racy, the accuracy of electromagnetic valve coordination action time can be up to 0.5 ms, which meets the test criteria requirements.
出处 《测控技术》 CSCD 北大核心 2012年第12期30-32,共3页 Measurement & Control Technology
基金 吉林省科技支撑项目(20100371)
关键词 电磁阀 协同动作时间 特征点 electromagnetic valve coordination action time characteristic points
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  • 1翟国富.继电器寿命预测理论及其应用的研究:博士论文[D].哈尔滨工业大学,1998(12).
  • 2Steinhauser Fred. Automated testing for electromechanical overcurrent relays. Developments in power system protection [ C], Conference Publication No. 479, 2001. 6265.
  • 3Wan Wenhua,Graphical Models Image Processing,1997年,59卷,6期,484页
  • 4Tsai Duming,Pattern Recognition,1997年,30卷,1期,85页
  • 5封建湖 车刚明 聂玉峰.数值分析原理[M].北京:科学出版社,2002..
  • 6Kitchen L,Rosenfeld A.Gray-level corner detection.Pattern Recognition Letters,1982,1(2):95-102
  • 7Harris C,Stephens M.A combined corner and edge detector.Forth Alvey Vision Cong,Manchester,1988.147-151
  • 8Medioni G,Yasumoto Y.Corner detection and curve representation using cubic b-splines.Comp Vision Graphics and Image Processing,1987,39(3):267-278
  • 9Smith S M,Brady J M,SUSAN.A new approach to low level image processing.International Journal of Computer Vision,1997,23(1):45-78
  • 10Shilat E,Werman M,Gdalyahu Y.Ridge's corner detection and correspondence.Proc of the IEEE Conf,on Computer Vision and Pattern Recognition,1997.976-982

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