Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures
In rare event analysis, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complem...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Derennes, Pierre [verfasserIn] Morio, Jérôme [verfasserIn] Simatos, Florian [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2020 |
|---|
| Schlagwörter: |
Moment independent importance measure |
|---|
| Übergeordnetes Werk: |
Enthalten in: Mathematics and computers in simulation - Amsterdam [u.a.] : Elsevier Science, 1960, 182, Seite 721-737 |
|---|---|
| Übergeordnetes Werk: |
volume:182 ; pages:721-737 |
| DOI / URN: |
10.1016/j.matcom.2020.11.024 |
|---|
| Katalog-ID: |
ELV005312450 |
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| 245 | 1 | 0 | |a Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures |
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| 520 | |a In rare event analysis, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complementary moment independent sensitivity measures, allowing to improve the understanding of the system’s rare event. Numerical applications are performed in order to show the effectiveness of the proposed estimation procedure. | ||
| 650 | 4 | |a Sensitivity analysis | |
| 650 | 4 | |a Moment independent importance measure | |
| 650 | 4 | |a Reliability | |
| 650 | 4 | |a Reliability-oriented sensitivity measures | |
| 650 | 4 | |a Risk analysis | |
| 700 | 1 | |a Morio, Jérôme |e verfasserin |0 (orcid)0000-0002-8811-8956 |4 aut | |
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10.1016/j.matcom.2020.11.024 doi (DE-627)ELV005312450 (ELSEVIER)S0378-4754(20)30455-9 DE-627 ger DE-627 rda eng 004 DE-600 31.80 bkl 54.76 bkl Derennes, Pierre verfasserin aut Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In rare event analysis, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complementary moment independent sensitivity measures, allowing to improve the understanding of the system’s rare event. Numerical applications are performed in order to show the effectiveness of the proposed estimation procedure. Sensitivity analysis Moment independent importance measure Reliability Reliability-oriented sensitivity measures Risk analysis Morio, Jérôme verfasserin (orcid)0000-0002-8811-8956 aut Simatos, Florian verfasserin aut Enthalten in Mathematics and computers in simulation Amsterdam [u.a.] : Elsevier Science, 1960 182, Seite 721-737 Online-Ressource (DE-627)320421082 (DE-600)2002570-1 (DE-576)114947686 nnns volume:182 pages:721-737 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 31.80 Angewandte Mathematik 54.76 Computersimulation AR 182 721-737 |
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10.1016/j.matcom.2020.11.024 doi (DE-627)ELV005312450 (ELSEVIER)S0378-4754(20)30455-9 DE-627 ger DE-627 rda eng 004 DE-600 31.80 bkl 54.76 bkl Derennes, Pierre verfasserin aut Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In rare event analysis, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complementary moment independent sensitivity measures, allowing to improve the understanding of the system’s rare event. Numerical applications are performed in order to show the effectiveness of the proposed estimation procedure. Sensitivity analysis Moment independent importance measure Reliability Reliability-oriented sensitivity measures Risk analysis Morio, Jérôme verfasserin (orcid)0000-0002-8811-8956 aut Simatos, Florian verfasserin aut Enthalten in Mathematics and computers in simulation Amsterdam [u.a.] : Elsevier Science, 1960 182, Seite 721-737 Online-Ressource (DE-627)320421082 (DE-600)2002570-1 (DE-576)114947686 nnns volume:182 pages:721-737 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 31.80 Angewandte Mathematik 54.76 Computersimulation AR 182 721-737 |
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10.1016/j.matcom.2020.11.024 doi (DE-627)ELV005312450 (ELSEVIER)S0378-4754(20)30455-9 DE-627 ger DE-627 rda eng 004 DE-600 31.80 bkl 54.76 bkl Derennes, Pierre verfasserin aut Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In rare event analysis, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complementary moment independent sensitivity measures, allowing to improve the understanding of the system’s rare event. Numerical applications are performed in order to show the effectiveness of the proposed estimation procedure. Sensitivity analysis Moment independent importance measure Reliability Reliability-oriented sensitivity measures Risk analysis Morio, Jérôme verfasserin (orcid)0000-0002-8811-8956 aut Simatos, Florian verfasserin aut Enthalten in Mathematics and computers in simulation Amsterdam [u.a.] : Elsevier Science, 1960 182, Seite 721-737 Online-Ressource (DE-627)320421082 (DE-600)2002570-1 (DE-576)114947686 nnns volume:182 pages:721-737 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 31.80 Angewandte Mathematik 54.76 Computersimulation AR 182 721-737 |
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10.1016/j.matcom.2020.11.024 doi (DE-627)ELV005312450 (ELSEVIER)S0378-4754(20)30455-9 DE-627 ger DE-627 rda eng 004 DE-600 31.80 bkl 54.76 bkl Derennes, Pierre verfasserin aut Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In rare event analysis, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complementary moment independent sensitivity measures, allowing to improve the understanding of the system’s rare event. Numerical applications are performed in order to show the effectiveness of the proposed estimation procedure. Sensitivity analysis Moment independent importance measure Reliability Reliability-oriented sensitivity measures Risk analysis Morio, Jérôme verfasserin (orcid)0000-0002-8811-8956 aut Simatos, Florian verfasserin aut Enthalten in Mathematics and computers in simulation Amsterdam [u.a.] : Elsevier Science, 1960 182, Seite 721-737 Online-Ressource (DE-627)320421082 (DE-600)2002570-1 (DE-576)114947686 nnns volume:182 pages:721-737 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 31.80 Angewandte Mathematik 54.76 Computersimulation AR 182 721-737 |
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10.1016/j.matcom.2020.11.024 doi (DE-627)ELV005312450 (ELSEVIER)S0378-4754(20)30455-9 DE-627 ger DE-627 rda eng 004 DE-600 31.80 bkl 54.76 bkl Derennes, Pierre verfasserin aut Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In rare event analysis, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complementary moment independent sensitivity measures, allowing to improve the understanding of the system’s rare event. Numerical applications are performed in order to show the effectiveness of the proposed estimation procedure. Sensitivity analysis Moment independent importance measure Reliability Reliability-oriented sensitivity measures Risk analysis Morio, Jérôme verfasserin (orcid)0000-0002-8811-8956 aut Simatos, Florian verfasserin aut Enthalten in Mathematics and computers in simulation Amsterdam [u.a.] : Elsevier Science, 1960 182, Seite 721-737 Online-Ressource (DE-627)320421082 (DE-600)2002570-1 (DE-576)114947686 nnns volume:182 pages:721-737 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 31.80 Angewandte Mathematik 54.76 Computersimulation AR 182 721-737 |
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simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures |
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Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures |
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In rare event analysis, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complementary moment independent sensitivity measures, allowing to improve the understanding of the system’s rare event. Numerical applications are performed in order to show the effectiveness of the proposed estimation procedure. |
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In rare event analysis, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complementary moment independent sensitivity measures, allowing to improve the understanding of the system’s rare event. Numerical applications are performed in order to show the effectiveness of the proposed estimation procedure. |
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In rare event analysis, the estimation of the failure probability is a crucial objective. However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complementary moment independent sensitivity measures, allowing to improve the understanding of the system’s rare event. Numerical applications are performed in order to show the effectiveness of the proposed estimation procedure. |
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However, focusing only on the occurrence of the failure event may be insufficient to entirely characterize the reliability of the considered system. This paper provides a common estimation scheme of two complementary moment independent sensitivity measures, allowing to improve the understanding of the system’s rare event. 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| score |
7.400079 |