Titlebook: Innovations in Smart Cities Applications Volume 7; The Proceedings of t Mohamed Ben Ahmed,Anouar Abdelhakim Boudhir,?smail Conference proce

舊石器時(shí)代

y of a computing system which allows reliance to be justifiably placed on the service it delivers, enables these various concerns to be subsumed within a single conceptual framework. Dependability thus includes as special cases such attributes as reliability, availability, safety, security. The Work

小口啜飲

SCORE

eulogize

Bellar Oumaima,Baina Amine,Bellafkih Mostafae concept of correlation between failures into a Markov model of a redundant system. This methodology uses a correlation coefficient to determine the (constant) rate of occurrence of the second and subsequent faults in a Markov model of a system. We solve models of two, three and four component syst

inquisitive

Ammar Aljer,Mohammed Itair,Mostafa Akil,Isam Sharourfluenced by correlated failures. The joint failure rate of the two components, λ., is found to be the key parameter for estimating reliability of 1-out-of-2 systems with correlated failures. A validated relationship between ρ and λ., is also derived.

Gudgeon

Leena Ardini Abdul Rahim,Nor Afirdaus Zainal Abidin,Raihah Aminuddin,Khyrina Airin Fariza Abu Samah,e concept of correlation between failures into a Markov model of a redundant system. This methodology uses a correlation coefficient to determine the (constant) rate of occurrence of the second and subsequent faults in a Markov model of a system. We solve models of two, three and four component syst

抱怨

Atina Ghunaim,Young Ki Kimfluenced by correlated failures. The joint failure rate of the two components, λ., is found to be the key parameter for estimating reliability of 1-out-of-2 systems with correlated failures. A validated relationship between ρ and λ., is also derived.

stress-test

Abdou Dia,Lamine Dieng,Laurent Gaillete concept of correlation between failures into a Markov model of a redundant system. This methodology uses a correlation coefficient to determine the (constant) rate of occurrence of the second and subsequent faults in a Markov model of a system. We solve models of two, three and four component syst

ARC

hurricane

Saleh Qanazi,Ihab H. Hijazi,Isam Shahrour,Rani El Meouchefluenced by correlated failures. The joint failure rate of the two components, λ., is found to be the key parameter for estimating reliability of 1-out-of-2 systems with correlated failures. A validated relationship between ρ and λ., is also derived.