Typical Defects Sample Selection Methods Research for Electric Power Information System
作者
Xin Ji,Xin Shi,Qian Li,Da Hua Zhang,De Yue Men
出处
期刊:Advanced Materials Research [Trans Tech Publications] 日期:2014-12-01卷期号:1070-1072: 2101-2107
标识
DOI:10.4028/www.scientific.net/amr.1070-1072.2101
摘要
The existing sample selection methods are inadequate in the determination of defect sample set, and lacking necessary metrics or evaluation methods of the defect sample set. This paper determines the typical defect sample set according to the selecting principles and proposes a metrics method of defect sample set to measure whether the defect sample set is representative of the defect library. At present, defect sample selection mainly depends on brainstorming and expert experiences in the electric system. However, for those organizations which have no experiences orfor large databases, there are significant difficulties on sample selection. The proposed defect sample selection framework and measurement criteria can effectively improve the situation and ensure that the selected sample set can well represent the defect library.