Stochastic hybrid automaton model of a multi-state system with aging: Reliability assessment and design consequences
Dynamic reliability aims to relax the rigid hypotheses of traditional reliability enabling the possibility to model multi-state systems and consider changes of the nominal design condition of a system. The solution of such type of models is a complex task that cannot be tackled with analytical techn...
Ausführliche Beschreibung
Autor*in: |
Chiacchio, F. [verfasserIn] |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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13 |
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Enthalten in: Partial rescue of some features of Huntington Disease in the genetic absence of caspase-6 in YAC128 mice - Wong, Bibiana K.Y. ELSEVIER, 2015, London [u.a.] |
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Übergeordnetes Werk: |
volume:149 ; year:2016 ; pages:1-13 ; extent:13 |
Links: |
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DOI / URN: |
10.1016/j.ress.2015.12.007 |
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10.1016/j.ress.2015.12.007 doi GBVA2016016000008.pica (DE-627)ELV035442409 (ELSEVIER)S0951-8320(15)00359-2 DE-627 ger DE-627 rakwb eng 600 600 DE-600 540 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl 58.28 bkl Chiacchio, F. verfasserin aut Stochastic hybrid automaton model of a multi-state system with aging: Reliability assessment and design consequences 2016 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Dynamic reliability aims to relax the rigid hypotheses of traditional reliability enabling the possibility to model multi-state systems and consider changes of the nominal design condition of a system. The solution of such type of models is a complex task that cannot be tackled with analytical techniques and must involve other types of formalisms based on simulation. One of the most promising simulation approach is Stochastic Hybrid Automaton (SHA), able to breakdown a system into a physical and a stochastic model that are coupled together with shared variables and synchronising mechanisms. Dynamic reliability Elsevier Simulink Reliability Modelling Elsevier Hybrid Basic Events Elsevier Stochastic Hybrid Automaton Elsevier Monte Carlo simulation Elsevier D’Urso, D. oth Manno, G. oth Compagno, L. oth Enthalten in Elsevier Science Wong, Bibiana K.Y. ELSEVIER Partial rescue of some features of Huntington Disease in the genetic absence of caspase-6 in YAC128 mice 2015 London [u.a.] (DE-627)ELV018738095 volume:149 year:2016 pages:1-13 extent:13 https://doi.org/10.1016/j.ress.2015.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 44.40 Pharmazie Pharmazeutika VZ 58.28 Pharmazeutische Technologie VZ AR 149 2016 1-13 13 045F 600 |
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Stochastic hybrid automaton model of a multi-state system with aging: Reliability assessment and design consequences |
abstract |
Dynamic reliability aims to relax the rigid hypotheses of traditional reliability enabling the possibility to model multi-state systems and consider changes of the nominal design condition of a system. The solution of such type of models is a complex task that cannot be tackled with analytical techniques and must involve other types of formalisms based on simulation. One of the most promising simulation approach is Stochastic Hybrid Automaton (SHA), able to breakdown a system into a physical and a stochastic model that are coupled together with shared variables and synchronising mechanisms. |
abstractGer |
Dynamic reliability aims to relax the rigid hypotheses of traditional reliability enabling the possibility to model multi-state systems and consider changes of the nominal design condition of a system. The solution of such type of models is a complex task that cannot be tackled with analytical techniques and must involve other types of formalisms based on simulation. One of the most promising simulation approach is Stochastic Hybrid Automaton (SHA), able to breakdown a system into a physical and a stochastic model that are coupled together with shared variables and synchronising mechanisms. |
abstract_unstemmed |
Dynamic reliability aims to relax the rigid hypotheses of traditional reliability enabling the possibility to model multi-state systems and consider changes of the nominal design condition of a system. The solution of such type of models is a complex task that cannot be tackled with analytical techniques and must involve other types of formalisms based on simulation. One of the most promising simulation approach is Stochastic Hybrid Automaton (SHA), able to breakdown a system into a physical and a stochastic model that are coupled together with shared variables and synchronising mechanisms. |
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title_short |
Stochastic hybrid automaton model of a multi-state system with aging: Reliability assessment and design consequences |
url |
https://doi.org/10.1016/j.ress.2015.12.007 |
remote_bool |
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author2 |
D’Urso, D. Manno, G. Compagno, L. |
author2Str |
D’Urso, D. Manno, G. Compagno, L. |
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doi_str |
10.1016/j.ress.2015.12.007 |
up_date |
2024-07-06T17:33:53.536Z |
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