DocumentCode :
625190
Title :
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
Link To Document :
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