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Engineering Reliability and Risk Assessment

Detalles Bibliográficos
Autor principal: Garg, Harish
Otros Autores: Ram, Mangey
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Elsevier, 2022.
Colección:Advances in Reliability Science Ser.
Acceso en línea:Texto completo

MARC

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040 |a EBLCP  |b eng  |c EBLCP  |d OCLCO 
020 |a 9780323913836 
020 |a 0323913830 
029 1 |a AU@  |b 000072958362 
035 |a (OCoLC)1346367900 
082 0 4 |a 620.00452 
049 |a UAMI 
100 1 |a Garg, Harish. 
245 1 0 |a Engineering Reliability and Risk Assessment  |h [electronic resource]. 
260 |a San Diego :  |b Elsevier,  |c 2022. 
300 |a 1 online resource (284 p.). 
490 1 |a Advances in Reliability Science Ser. 
500 |a Description based upon print version of record. 
505 0 |a Front Cover -- Engineering Reliability and Risk Assessment -- Advances in Reliability Science: Engineering Reliability and Risk Assessment -- Copyright -- CONTENTS -- Contributors -- 1 -- Bayesian networks for failure analysis of complex systems using different data sources -- 1. Introduction -- 2. Risk, reliability, and uncertainty -- 3. Bayesian networks (BNs) -- 4. Probabilistic failure analysis of hydropower dams -- 5. Summary and conclusions -- References -- 2 -- Failure modes and effect analysis model for the reliability and safety evaluation of a pressurized steam trap -- 1. Introduction 
505 8 |a 2. Hybrid failure modes and effects analysis model -- 2.1 Complex intuitionistic fuzzy set (CIFS) -- 2.2 Complex intuitionistic fuzzy Bonferroni mean (CIFBM) operator -- 2.3 Complex intuitionistic Fuzzy-VIKOR model -- 2.4 Algorithm of the hybrid failure modes and effects analysis model -- 3. Numerical illustration -- 3.1 Results and discussion -- 3.2 Observation from the model implementation -- 4. Conclusions -- References -- 3 -- Reliability and availability analysis of a standby system with activation time and varying demand -- Nomenclature -- 1. Introduction -- 2. Assumptions for proposed model 
505 8 |a 3. Proposed system (model) -- 4. Description of model -- 4.1 Mean sojourn times and transition probabilities -- 4.2 Mean time to system failure (MTSF) -- 4.3 Availability analysis -- 4.3.1 A single unit is operative -- 4.3.1.1 Production made by a single unit is greater than demand -- 4.3.1.2 Demand&#x2265;production by a single unit and "<" that by two units -- 4.3.1.3 Production by two units is not greater than demand -- 4.3.2 Two units are operative -- 4.3.2.1 Demand&#x2265;production by a single unit and "<" that by two units -- 4.3.2.2 Production by two units is not greater than demand 
505 8 |a 5. Graphical interpretations -- 6. Conclusions -- References -- 4 -- Fuzzy attack tree analysis of security threat assessment in an internet security system using algebraic t-norm ... -- 1. Introduction -- 2. Preliminary concepts -- 2.1 Intuitionistic fuzzy set(IFS) -- 2.2 Triangle intuitionistic fuzzy set(TIFS) -- 2.3 Algebraic t-norm(TA) and t-conorm(SA) -- 2.4 The fuzzy arithmetic operations defined on TIFS [29] -- 2.5 Failure probability evaluation for OR and AND nodes [6,30] -- 3. Proposed FATA method -- 4. An illustrative application -- 4.1 Results obtained from proposed FATA method 
505 8 |a 4.2 Comparative analysis and discussion -- 5. Conclusions and future scope -- References -- 5 -- A new flexible extension to a lifetime distributions, properties, inference, and applications in engineering sc ... -- Symbols -- Abbreviations -- 1. Introduction -- 2. Special model -- 2.1 The LE-inverse exponential (LE-IE) model -- 2.2 Quantile function (QF) -- 3. Reliability measures -- 3.1 Failure function -- 3.2 Reliability function -- 3.3 Hazard function -- 3.4 Mills ratio -- 3.5 Cumulative hazard rate function -- 3.6 Mean time to failure (MTTF) and mean time to repair (MTTR) 
500 |a 4. Estimation inference via simulation 
590 |a Knovel  |b ACADEMIC - Industrial Engineering & Operations Management 
590 |a Knovel  |b ACADEMIC - General Engineering & Project Administration 
700 1 |a Ram, Mangey. 
776 0 8 |i Print version:  |a Garg, Harish  |t Engineering Reliability and Risk Assessment  |d San Diego : Elsevier,c2022  |z 9780323919432 
830 0 |a Advances in Reliability Science Ser. 
856 4 0 |u https://appknovel.uam.elogim.com/kn/resources/kpERRA0004/toc  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL7099621 
994 |a 92  |b IZTAP