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基于数据融合的发动机废气数据分析方法研究
引用本文:严爱芳,李增芳,王建军.基于数据融合的发动机废气数据分析方法研究[J].农机化研究,2007(2):222-224.
作者姓名:严爱芳  李增芳  王建军
作者单位:浙江大学,机械与能源学院,杭州,310027;浙江水利水电专科学校,机电工程系,杭州,310029;浙江水利水电专科学校,机电工程系,杭州,310029
基金项目:浙江省青年骨干教师资助项目
摘    要:发动机废气排放测试数据因受发动机工作状态的影响存在着一定的波动性和偶然性,因此在废气数据的测试中存在较大的误差.为此,提出了一种基于数据融合的废气数据分析统计方法.这种方法通过把发动机的某一运转状态下测试的多组数据值进行分批估计数据融合,可使得数据融合值更接近真实值,从而进一步提高测试系统的精确性.该算法在由LabVIEW语言编制的程序中得到了验证.

关 键 词:动力机械工程  发动机废气数据分析  理论研究  数据融合
文章编号:1003-188X(2007)02-0222-03
收稿时间:2006-04-21
修稿时间:2006年4月21日

The Data Analysis of Engine Spent Gases Based on Data Fusion
YAN Ai-fang,LI Zeng-fang,WANG Jian-jun.The Data Analysis of Engine Spent Gases Based on Data Fusion[J].Journal of Agricultural Mechanization Research,2007(2):222-224.
Authors:YAN Ai-fang  LI Zeng-fang  WANG Jian-jun
Institution:1.College of Machinery and Energy, Zhejiang University, Hangzhou 310027, China; 2.Department of Machinery and Electron Engineering, Zhejiang Water Conservancy and Hydropower College, Hangzhou 310029, China
Abstract:The engine exhaust emission testing data may have wave properties and contingency, as it is affected by the engine working status. Thus there must be a big discrepancy in the exhaust emission testing data. For solving this problem a new analytic statistics method based on data fusion is put forward in this paper. Fuse and estimate the different testing data in batch under condition of setting the engine working at a certain status; it can be make the data fusion value much close to the real value. Then the accuracy of the testing system can be greatly improved. This arithmetic has been approved in LabVIEW language complication process.
Keywords:power and machinery engineering  data analysis of engine spent gases  theoretical research  data fusion
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