Bayesian Networks Applications in the Reliability of Software Systems for Monitoring Electrical Substations

Author

Ursianu, Victor ; Moldoveanu, Florica ; Ursianu, Radu ; Ursianu, Emiliana

Author_Institution

Fac. of Autom. Control & Comput., Univ. Politeh. of Bucharest, Bucharest, Romania

fYear

2013

fDate

29-31 May 2013

Firstpage

353

Lastpage

358

Abstract

General aspects regarding software quality are discussed. The analysis of quality aspects is made for a software monitoring system of an electrical substation. Mathematical models are proposed to ensure software quality including Bayesian networks, Markov chains. Using a monitoring system developed in Romania as case study, we proposed modelling this system using SCL language and Bayesian networks in order to estimate its reliability. Some software modules were developed in order to implement the mathematical models proposed.

Keywords

Markov processes; belief networks; power engineering computing; power system measurement; smart power grids; software quality; software reliability; specification languages; substations; Bayesian network; Markov chain; Romania; SCL language; electrical substation monitoring; smart grid; software monitoring system; software quality; software system reliability; Bayes methods; Circuit faults; Monitoring; Servers; Software; Substations; Bayesian networks; IEC61850; IED; Markov chains; Smart Grid; energy field; fault prediction; reliability; software quality; software quality assurance; substation monitoring;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Systems and Computer Science (CSCS), 2013 19th International Conference on

Conference_Location

Bucharest

Print_ISBN

978-1-4673-6140-8

Type

conf

DOI

10.1109/CSCS.2013.99

Filename

6569289