{"title":"传动轴疲劳分析车载数据记录系统","authors":"Slobodan Ilic, J. Katupitiya, M. Tordon","doi":"10.1109/ROSE.2004.1317610","DOIUrl":null,"url":null,"abstract":"The work presents a cost-effective custom-made data logging system for in-vehicle use. Based on the required bandwidth and accuracy of the torque signal a real-time data acquisition system for long-term data logging of torque signal has been designed and implemented. The system is based on a computer running Windows CE 3.0 operating system. Filtered input signal is sample by over-sampling data acquisition system. Data reduction is achieved by decimation and data compression. Three data compression methods are compared: two methods based on zero-order and first-order predictors and a piecewise linear approximation method followed by run-length and Huffman coding. Several error bands have been investigated in the data compression methods. Test result show that a system with 1 GB flash card can store over 10000 hrs of drive shaft load history data allowing signal reconstruction with satisfactory accuracy.","PeriodicalId":142501,"journal":{"name":"International Workshop on Robot Sensing, 2004. ROSE 2004.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"In-vehicle data logging system for fatigue analysis of drive shaft\",\"authors\":\"Slobodan Ilic, J. Katupitiya, M. Tordon\",\"doi\":\"10.1109/ROSE.2004.1317610\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The work presents a cost-effective custom-made data logging system for in-vehicle use. Based on the required bandwidth and accuracy of the torque signal a real-time data acquisition system for long-term data logging of torque signal has been designed and implemented. The system is based on a computer running Windows CE 3.0 operating system. Filtered input signal is sample by over-sampling data acquisition system. Data reduction is achieved by decimation and data compression. Three data compression methods are compared: two methods based on zero-order and first-order predictors and a piecewise linear approximation method followed by run-length and Huffman coding. Several error bands have been investigated in the data compression methods. Test result show that a system with 1 GB flash card can store over 10000 hrs of drive shaft load history data allowing signal reconstruction with satisfactory accuracy.\",\"PeriodicalId\":142501,\"journal\":{\"name\":\"International Workshop on Robot Sensing, 2004. ROSE 2004.\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Workshop on Robot Sensing, 2004. ROSE 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROSE.2004.1317610\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Robot Sensing, 2004. ROSE 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROSE.2004.1317610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
摘要
提出了一种具有成本效益的车载定制数据记录系统。根据扭矩信号对带宽和精度的要求,设计并实现了一种用于扭矩信号长期数据记录的实时数据采集系统。该系统基于运行Windows CE 3.0操作系统的计算机。滤波后的输入信号通过过采样数据采集系统进行采样。数据缩减是通过抽取和数据压缩来实现的。比较了三种数据压缩方法:两种基于零阶和一阶预测量的方法和分段线性逼近方法,然后是游程长度和霍夫曼编码。研究了数据压缩方法中的几种误差带。测试结果表明,1 GB闪存卡系统可以存储10000小时以上传动轴负荷历史数据,能够以满意的精度进行信号重构。
In-vehicle data logging system for fatigue analysis of drive shaft
The work presents a cost-effective custom-made data logging system for in-vehicle use. Based on the required bandwidth and accuracy of the torque signal a real-time data acquisition system for long-term data logging of torque signal has been designed and implemented. The system is based on a computer running Windows CE 3.0 operating system. Filtered input signal is sample by over-sampling data acquisition system. Data reduction is achieved by decimation and data compression. Three data compression methods are compared: two methods based on zero-order and first-order predictors and a piecewise linear approximation method followed by run-length and Huffman coding. Several error bands have been investigated in the data compression methods. Test result show that a system with 1 GB flash card can store over 10000 hrs of drive shaft load history data allowing signal reconstruction with satisfactory accuracy.