摘要
减震器示功图是测量减震器外特性的重要手段,快速准确的识别减震器故障类型对降低减震器的次品率和改善减震器的设计缺陷具有重要意义;为此,提出了基于链码的多特征模式匹配算法对故障示功图进行分类;首先,对示功图进行预处理并记录最大拉伸阻尼力和最大压缩阻尼力的值,对预处理后的示功图进行十字分割,分别求出分割后的示功图各部分的链码序列,然后求出其对称性、链码长度、面积这三个特征值,最后根据编码原则对特征参数进行编码,将其编码后的值与类型库的编码进行匹配,从而得出样本的故障类型;实验结果表明,该算法能够正确识别示功图的13类基本故障类型。
Shock absorber indicator diagram is an important means to measure the external characteristics of the shock absorber, fast and accurately identify the type of shock absorber failure is important to reduce the rate of defective shock absorbers and flaws caused by design. In this paper, a multi-feature pattern matching algorithm based on chain code is proposed to classify the fault diagram. First, the indicator diagram of pretreatment and record the maximum tensile damping force and maximum compression damping force value. For the pretreatment of the indicator diagram of cross cutting, respectively, and calculated the segmentation shown in diagram of each part of the chain code se- quence and then calculated its symmetry, chain code length, area of the three eigenvalues. Finally according to the encoding principle of char- acteristic parameters of coding, the encoded value with the type library code to match, so that the fault type of the sample. Experimental re- suits show that the proposed algorithm can correctly identify the 13 types of basic fault types of the indicator diagram.
出处
《计算机测量与控制》
2017年第2期43-46,共4页
Computer Measurement &Control
基金
山东省自然科学基金(ZR2014FP013)
青岛市应用基础研究计划项目(grant 14-2-4-115-jch)
关键词
链码
对称性
故障诊断
特征提取
Freeman chain codes symmetry
fault detections feature extraction
