Reliability assessment of distribution power repairable systems using NHPP

Gonzalez, Camila A.; Torres, Álvaro Pastor; Ríos, Mario Alberto Gaviria

doi:10.1109/tdc-la.2014.6955225

Cited by 5 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Huang [4] also present a graph to illustrate the confidence interval of the mean value function. Gonzalez et al [5] presented a general methodology that applied to a power distribution test system considering the effect of weather conditions and aging of components in the system reliability indexes for the analysis of repairable systems using non-homogeneous Poisson process, including several conditions in the system at the same time. Nagaraju and Fiondella [6] presented an adaptive expectation-maximization algorithm for non-homogeneous Poisson process software reliability growth models, and illustrated the steps of this adaptive approach through a detailed example, which demonstrates improved flexibility over the standard expectation-maximization (EM) algorithm.…”

Section: Introductionmentioning

confidence: 99%

A Software Reliability Model with a Weibull Fault Detection Rate Function Subject to Operating Environments

2017

View full text Add to dashboard Cite

Featured Application: This study introduces a new software reliability model with the Weibull fault detection rate function that takes into account the uncertainty of operating environments.Abstract: When software systems are introduced, these systems are used in field environments that are the same as or close to those used in the development-testing environments; however, they may also be used in many different locations that may differ from the environment in which they were developed and tested. As such, it is difficult to improve software reliability for a variety of reasons, such as a given environment, or a bug location in code. In this paper, we propose a new software reliability model that takes into account the uncertainty of operating environments. The explicit mean value function solution for the proposed model is presented. Examples are presented to illustrate the goodness of fit of the proposed model and several existing non-homogeneous Poisson process (NHPP) models and confidence intervals of all models based on two sets of failure data collected from software applications. The results show that the proposed model fits the data more closely than other existing NHPP models to a significant extent.

show abstract

Section: Introductionmentioning

confidence: 99%