Data Mining and Principal Component Analysis Based Power Equipment Status Evaluation

摘要：

　　The steady and stable operation of power equipment has a direct influence on the safety and stability of the electric system.This paper thoroughly analysed the mass data that reflect the status of power equipment by principal component analysis(PCA)on the basis of data mining technique,and established a principal component system that integrates key parameters of power equipment status together.It also established a comprehensive evaluation model of power equipment operating condition and achieved dynamic evaluation of power equipment health and rapid detection of abnormal condition.Transformer insulation status evaluation has been used as an example to prove that the method proposed in the paper may make up for the flaws of traditional status evaluation method and this method does offer certain reliability and practicability.

作者: Yi YANG Chao GU Chuanshuang HE Nan ZHOU Lingen LUO Gehao SHENG

会议类型: 国际会议

会议名称: The 2017 2nd International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2017) (2017年第二届应用物理、光电子学和光子学国际研讨会)

会议地点: 上海

会议语种:英文

页码: 425-437

在线出版日期: 2017-12-30（万方平台首次上网日期，不代表论文的发表时间）