Applications of survival functions to continuous semi-Markov processes for measuring reliability of power transformers

作     者：Yifei WANG Mohammad SHAHIDEHPOUR Chuangxin GUO 

作者机构：School of AutomationGuangdong University of TechnologyGuangzhou 510006China Galvin Center for Electricity InnovationIllinois Institute of TechnologyChicagoIL 60616USA College of Electrical EngineeringZhejiang UniversityHangzhou 310058China 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2017年第5卷第6期

页      面：959-969页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 0807[工学-动力工程及工程热物理] 

主　　题：Power system reliability Transformers Proportional hazard model Survival function Mean residual life Semi-Markov process 

摘      要：The reliability of power transformers is subject to service age and health *** paper proposes a practical model for the evaluation of two reliability indices:survival function(SF)and mean residual life(MRL).In the proposed model,the periodical modeling of power transformers are considered for collecting the information on health *** corresponding health condition is assumed to follow a continuous semi-Markov process for representing a state *** proportional hazard model(PHM)is introduced to incorporate service age and health condition into hazard *** addition,the proposed model derives the analytical formulas for and offers the analytical evaluation of SF and *** and MRL are calculated for new components and old components,*** both cases,the proposed model offers rational results which are compared with those obtained from comparative *** results obtained by the contrast of the proposed analytical method and the Monte Carlo *** impact of differentmodel parameters and the coefficient of variation(CV)on reliability indices are discussed in the case studies.