Nonparametric statistical analysis of system resilience migration and application for electric distribution structures  

作　　者：ZhiQiang Chen Prativa Sharma 

机构地区：[1]Division of Natural and Built Environment,University of Missouri Kansas City,5110 Rockhill Road,Kansas City,64110,MO,USA

出　　处：《Resilient Cities and Structures》2024年第3期92-105,共14页韧性城市与结构（英文）

基　　金：supported by the National Science Foundation(NSF)under Award Number IIA-1355406.

摘　　要：This paper proposes a set of nonparametric statistical tools for analyzing the system resilience of civil structures and infrastructure and its migration upon changes in critical system parameters.The work is founded on the classic theoretic framework that system resilience is defined in multiple dimensions for a constructed system.Consequentially,system resilience can lose its parametric form as a random variable,falling into the realm of nonparametric statistics.With this nonparametric shift,traditional distribution-based statistics are ineffective in characterizing the migration of system resilience due to the variation of system parameters.Three statistical tools are proposed under the nonparametric statistical resilience analysis(npSRA)framework,including nonparametric copula-based sensitivity analysis,two-sample resilience test analysis,and a novel tool for resilience attenuation analysis.To demonstrate the use of this framework,we focus on electric distribution systems,commonly found in many urban,suburban,and rural areas and vulnerable to tropical storms.A novel procedure for considering resourcefulness parameters in the socioeconomic space is proposed.Numerical results reveal the complex sta-tistical relations between the distributions of system resilience,physical aging,and socioeconomic parameters for the power distribution system.The proposed resilience distance computing and resilience attenuation anal-ysis further suggests two proper nonparametric distance metrics,the Earth Moving Distance(EMD)metric and the Cramévon Mises(CVM)metric,for characterizing the migration of system resilience for electric distribution systems.

关 键 词：RESILIENCE Electric distribution Statistical distance RESOURCEFULNESS Nonparametric statistics 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]