Use of a modified Markov models for parallel reliability systems that are subject to maintenance
In this paper, we shall describe the reliability function R(t) as probability that the system will not malfunction within a given interval of execution times for maintained systems. Although, we shall be concerned with developing the reliability functions and predicted time to equipment breakdown (M...
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Published in | Journal of physics. Conference series Vol. 1999; no. 1; pp. 12087 - 12093 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
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IOP Publishing
01.09.2021
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ISSN | 1742-6588 1742-6596 |
DOI | 10.1088/1742-6596/1999/1/012087 |
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Abstract | In this paper, we shall describe the reliability function R(t) as probability that the system will not malfunction within a given interval of execution times for maintained systems. Although, we shall be concerned with developing the reliability functions and predicted time to equipment breakdown (MTTF), Time between failures on average (MTBF) and the overall repair time (MTTR) from concepts of Markov model and some of transformations of Laplace to obtain the reliability and availability. |
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AbstractList | In this paper, we shall describe the reliability function R(t) as probability that the system will not malfunction within a given interval of execution times for maintained systems. Although, we shall be concerned with developing the reliability functions and predicted time to equipment breakdown (MTTF), Time between failures on average (MTBF) and the overall repair time (MTTR) from concepts of Markov model and some of transformations of Laplace to obtain the reliability and availability. |
Author | Ameer issa, Laith Abd Al Haddi Hassan, Zahir Abdul |
Author_xml | – sequence: 1 givenname: Laith Abd Al surname: Ameer issa fullname: Ameer issa, Laith Abd Al organization: Department of Mathematics, College of Education for Pure Sciences , . Iraq – sequence: 2 givenname: Zahir Abdul surname: Haddi Hassan fullname: Haddi Hassan, Zahir Abdul organization: Department of Mathematics, College of Education for Pure Sciences , . Iraq |
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Cites_doi | 10.1088/1757-899X/928/4/042043 10.1088/1757-899x/928/4/042033 10.1109/TR.1979.5220476 10.1088/1742-6596/1818/1/012163 10.1088/1742-6596/1294/3/032034 10.1088/1742-6596/1664/1/012125 10.29350/qjps.2021.26.2.1259 10.1016/j.kijoms.2015.08.002 10.29350/qjps.2021.26.2.1257 |
ContentType | Journal Article |
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References | Hassan (JPCS_1999_1_012087bib13) 2015; 1 Abdullah (JPCS_1999_1_012087bib10) 2020; 928 Dwail (JPCS_1999_1_012087bib6) 2020; 928 Attia (JPCS_1999_1_012087bib3) 2021; 26 Hassan (JPCS_1999_1_012087bib12) 2017 Dwail (JPCS_1999_1_012087bib5) 2020; 1664 Abraham (JPCS_1999_1_012087bib2) 1979; R-28 Abdullah (JPCS_1999_1_012087bib9) 2020; 1664 Mahdi (JPCS_1999_1_012087bib16) 2020; 1664 Adnan (JPCS_1999_1_012087bib18) 2021; 26 Aggarwal (JPCS_1999_1_012087bib1) 1993 Hassan (JPCS_1999_1_012087bib11) 2017 Wasi (JPCS_1999_1_012087bib20) 2021; 1804 Abdullah (JPCS_1999_1_012087bib8) 2021; 1818 Abed (JPCS_1999_1_012087bib17) 2019; 1294 Wasi (JPCS_1999_1_012087bib19) 2020; 1664 Chen (JPCS_1999_1_012087bib4) 1997; 5 Hashim (JPCS_1999_1_012087bib15) 2021; 1804 Govil (JPCS_1999_1_012087bib7) 1983 Hassan (JPCS_1999_1_012087bib14) 2016; 78 |
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SubjectTerms | Markov chains MTBF Physics Repair time |
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Title | Use of a modified Markov models for parallel reliability systems that are subject to maintenance |
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