Single-use reliability computation of a semi-Markovian system
Applications of Mathematics (2014)
- Volume: 59, Issue: 5, page 571-588
- ISSN: 0862-7940
Access Full Article
topAbstract
topHow to cite
topD'Amico, Guglielmo. "Single-use reliability computation of a semi-Markovian system." Applications of Mathematics 59.5 (2014): 571-588. <http://eudml.org/doc/262030>.
@article{DAmico2014,
abstract = {Markov chain usage models were successfully used to model systems and software. The most prominent approaches are the so-called failure state models Whittaker and Thomason (1994) and the arc-based Bayesian models Sayre and Poore (2000). In this paper we propose arc-based semi-Markov usage models to test systems. We extend previous studies that rely on the Markov chain assumption to the more general semi-Markovian setting. Among the obtained results we give a closed form representation of the first and second moments of the single-use reliability. The model and the validity of the results are illustrated through a numerical example.},
author = {D'Amico, Guglielmo},
journal = {Applications of Mathematics},
keywords = {system reliability; semi-Markov chain; usage model; system reliability; semi-Markov chain; usage model},
language = {eng},
number = {5},
pages = {571-588},
publisher = {Institute of Mathematics, Academy of Sciences of the Czech Republic},
title = {Single-use reliability computation of a semi-Markovian system},
url = {http://eudml.org/doc/262030},
volume = {59},
year = {2014},
}
TY - JOUR
AU - D'Amico, Guglielmo
TI - Single-use reliability computation of a semi-Markovian system
JO - Applications of Mathematics
PY - 2014
PB - Institute of Mathematics, Academy of Sciences of the Czech Republic
VL - 59
IS - 5
SP - 571
EP - 588
AB - Markov chain usage models were successfully used to model systems and software. The most prominent approaches are the so-called failure state models Whittaker and Thomason (1994) and the arc-based Bayesian models Sayre and Poore (2000). In this paper we propose arc-based semi-Markov usage models to test systems. We extend previous studies that rely on the Markov chain assumption to the more general semi-Markovian setting. Among the obtained results we give a closed form representation of the first and second moments of the single-use reliability. The model and the validity of the results are illustrated through a numerical example.
LA - eng
KW - system reliability; semi-Markov chain; usage model; system reliability; semi-Markov chain; usage model
UR - http://eudml.org/doc/262030
ER -
References
top- Barbu, V., Boussemart, M., Limnios, N., 10.1081/STA-200037923, Commun. Stat., Theory Methods 33 (2004), 2833-2868. (2004) Zbl1089.60525MR2138658DOI10.1081/STA-200037923
- Barbu, V., Limnios, N., Semi-Markov Chains and Hidden Semi-Markov Models toward Applications. Their Use in Reliability and DNA Analysis, Lecture Notes in Statistics 191 Springer, New York (2008). (2008) Zbl1208.60001MR2452304
- Blasi, A., Janssen, J., Manca, R., 10.1081/STA-120028692, Commun. Stat., Theory Methods 33 (2004), 697-714. (2004) Zbl1114.60327MR2056962DOI10.1081/STA-120028692
- Ciardo, G., Marie, R. A., Sericola, B., Trivedi, K. S., 10.1109/12.59855, IEEE Trans. Comput. C-39 (1990), 1251-1264. (1990) DOI10.1109/12.59855
- D'Amico, G., 10.1080/17442500903278892, Stochastics 81 (2009), 589-600. (2009) Zbl1196.60147MR2589413DOI10.1080/17442500903278892
- D'Amico, G., 10.1016/j.apm.2011.03.006, Appl. Math. Modelling 35 (2011), 4354-4366. (2011) Zbl1225.90034MR2801959DOI10.1016/j.apm.2011.03.006
- D'Amico, G., Petroni, F., Prattico, F., Reliability measures of second-order semi-Markov chain applied to wind energy production, Journal of Renewable Energy 2013 (2013), Article ID 368940, 6 pp. (2013)
- Janssen, J., Manca, R., Semi-Markov Risk Models for Finance, Insurance and Reliability, Springer, New York (2007). (2007) Zbl1144.91027MR2301626
- Limnios, N., 10.1007/s11009-011-9211-5, Methodol. Comput. Appl. Probab. 14 895-917 (2012). (2012) Zbl1259.60106MR2993738DOI10.1007/s11009-011-9211-5
- Limnios, N., Oprişan, G., Semi-Markov Processes and Reliability, Statistics for Industry and Technology Birkhäuser, Basel (2001). (2001) Zbl0990.60004MR1843923
- Prowell, S. J., Poore, J. H., 10.1016/S0164-1212(03)00241-3, J. Systems Software 73 (2004), 219-225. (2004) DOI10.1016/S0164-1212(03)00241-3
- Sayre, K. D., Improved Techniques for Software Testing Based on Markov Chain Usage Models, PhD Thesis, The University of Tennessee, Knoxville, Tennessee (1999). (1999)
- Sayre, K. D., Poore, J. H., 10.1016/S0950-5849(00)00110-5, Information and Software Technology 42 (2000), 851-857. (2000) DOI10.1016/S0950-5849(00)00110-5
- Whittaker, J. A., Poore, J. H., 10.1145/151299.151326, ACM Transactions on Software Engineering and Methodology (1993), 93-106. (1993) DOI10.1145/151299.151326
- Whittaker, J. A., Thomason, M. G., 10.1109/32.328991, IEEE Transactions on Software Engineering 30 (1994), 812-824. (1994) DOI10.1109/32.328991
NotesEmbed ?
topTo embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.