A Gray System Method to Deal with Gross Error in Mine Ventilation Resistance Measurements

摘要：

In ventilation resistance measurement, data samples often fall into normal distribution, and statistical methods are often used to assess the gross error. However, in the in-situ measurement, the number of data samples is so small that it is difficult to fit those samples into a probability distribution, which imposes limitations to the traditional statistical methods. To better process the measurement data, this paper proposes a gray system method to deal with gross error. This method can be used for processing smaller data samples in order to minimize the measured error. The example shows that the method can achieve better results in data processing of resistance measurements.

关键词： ventilation resistance measurement small samples gross error gray system theory

作者: QU Fang YU Shenshen

作者单位: Quality & Safety Engineering College, China Jiliang University, Hangzhou 310018, Zhejiang, China

会议类型: 国际会议

会议名称: The 2010 International Symposium on Safety Science and Technology(2010 安全科学与技术国际会议)

会议地点: 杭州

会议语种:英文

页码: 1709-1713

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）