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Master's Dissertation
DOI
https://doi.org/10.11606/D.45.2019.tde-04042019-185706
Document
Author
Full name
Pedro Minoru Saito
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2019
Supervisor
Committee
Bueno, Vanderlei da Costa (President)
Coletti, Cristian Favio
Costa, Oswaldo Luiz do Valle
Title in Portuguese
Preservação das classes de distribuições não-paramétricas e desigualdades estocásticas entre os D-espectros de networks para seus respectivos tempos de vidas
Keywords in Portuguese
Classes de distribuições não-paramétricas
Confiabilidade
Desigualdades estocásticas
Networks
Processos de Poisson não homogêneo
Abstract in Portuguese
Este trabalho reporta sobre a avaliação da confiabilidade de networks, uma representação analítica para diversos sistemas de engenharia e de comunicação, cujas falhas de seus componentes (links) ocorrem segundo um Processo de Poisson Não Homogêneo. Concluiremos que, na comparação de dois networks com a mesma quantidade de links, as desigualdades estocásticas de seus D-espectros serão preservadas em seus tempos de vidas e a preservação das classes de distribuições do D-espectro para o tempo de vida de um network ocorrerá com restrições na função de risco do Processo de Poisson Não Homogêneo.
Title in English
Preservation of D-spectra nonparametric distribution classes and stochastic inequalites to respective networks lifetimes
Keywords in English
Networks
Nonhomogeneous Poisson processes
Nonparametric distributions classes
Reliability
Stochastic orders
Abstract in English
This work reports networks reliability evaluation, an analytic representation to several engineering and comunication systems, whose components (links) failures occur according to a Nonhomogeneous Poisson Process. We will conclude that, on comparison of two networks with same number of links, stochastic orders of their D-spectra will be preserved to their lifetimes and distribution classes preservation of network D-spectrum to its lifetime will occur with restrictions in hazard function of Nonhomogeneous Poisson Process.
 
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Publishing Date
2019-04-08
 
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