Готові списки джерел за темами / Risk and Reliability Analysis

Добірка наукової літератури з теми "Risk and Reliability Analysis"

Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Risk and Reliability Analysis"

1

McCormick, Norman J. "Reliability and Risk Analysis." IEEE Transactions on Reliability 35, no. 3 (1986): 300–303. http://dx.doi.org/10.1109/tr.1986.4335437.

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2

Olwell, David. "Reliability Engineering and Risk Analysis." Technometrics 43, no. 1 (February 2001): 104–5. http://dx.doi.org/10.1198/tech.2001.s556.

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3

Ellyin, Fernand. "Systems reliability and risk analysis." Canadian Journal of Civil Engineering 12, no. 3 (September 1, 1985): 724–25. http://dx.doi.org/10.1139/l85-083.

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4

Wen, Y. K. "System reliability and risk analysis." Structural Safety 4, no. 2 (January 1986): 166. http://dx.doi.org/10.1016/0167-4730(86)90031-7.

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5

Aven, Terje, and Bjørnar Heide. "Reliability and validity of risk analysis." Reliability Engineering & System Safety 94, no. 11 (November 2009): 1862–68. http://dx.doi.org/10.1016/j.ress.2009.06.003.

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6

Gandomi, Amir H., and Amir H. Alavi. "Metaheuristics in Reliability and Risk Analysis." ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 4, no. 3 (September 2018): 02018001. http://dx.doi.org/10.1061/ajrua6.0000978.

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7

Koduru, Smitha D., and Terje Haukaas. "Uncertain reliability index in finite element reliability analysis." International Journal of Reliability and Safety 1, no. 1/2 (2006): 77. http://dx.doi.org/10.1504/ijrs.2006.010691.

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8

Furuta, Kazuo, and Shunsuke Kondo. "Group reliability analysis." Reliability Engineering & System Safety 35, no. 2 (January 1992): 159–67. http://dx.doi.org/10.1016/0951-8320(92)90035-j.

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9

Singpurwalla, Nozer D. "Foundational Issues in Reliability and Risk Analysis." SIAM Review 30, no. 2 (June 1988): 264–82. http://dx.doi.org/10.1137/1030047.

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10

Mahsuli, M., and T. Haukaas. "Seismic risk analysis with reliability methods, part II: Analysis." Structural Safety 42 (May 2013): 63–74. http://dx.doi.org/10.1016/j.strusafe.2013.01.004.

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Дисертації з теми "Risk and Reliability Analysis"

1

Moura, Jorge Nilo de. "Reliability assessment and risk analysis of submarine blowout preventers." Thesis, Heriot-Watt University, 2000. http://hdl.handle.net/10399/1240.

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2

Felder, Frank Andrew. "Probabilistic risk analysis of restructured electric power systems : implications for reliability analysis and policies." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8257.

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Анотація:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Technology, Management, and Policy Program, 2001.
Includes bibliographical references (p. 193-209).
Modem society requires reliable and safe operation of its infrastructure. Policymakers believe that, in many industries, competitive markets and regulatory incentives will result in system performance superior to that under command-and-control regulation. Analytical techniques to evaluate the reliability and safety of complex engineering systems, however, do not explicitly account for responses to market and regulatory incentives. In addition, determining which combination of market and regulatory incentives to use is difficult because policy analysts' understanding of complex systems often depends on uncertain data and limited models that reflect incomplete knowledge. This thesis confronts the problem of evaluating the reliability of a complex engineering system that responds to the behavior of decentralized economic agents. Using the example of restructured and partially deregulated electric power systems, it argues that existing engineering-based reliability tools are insufficient to evaluate the reliability of restructured power systems. This research finds that electricity spot markets are not perfectly reliable, that is, they do not always result in sufficient supply to meet demand. General conclusions regarding the reliability of restructured power systems that some economic analysts suggest should be the basis of reliability policies are either verified or demonstrated to be true only when applied to extremely simple and unrealistic models. New generation unit and transmission component availability models are proposed that incorporate dependent failure modes and capture the behavior of economic agents, neither of which is considered with current adequacy techniques.
(cont.) This thesis proposes the use of a probabilistic risk analysis framework as the foundation for bulk power-system-reliability policy to replace existing policy, which is an ad hoc mixture of deterministic criteria and risk-based requirements. This thesis recommends distinguishing between controlled, involuntary load curtailments and uncontrolled, involuntary load curtailments in power system reliability modeling. The Institute of Electrical and Electronics Engineers (IEEE) Reliability Test System is used to illustrate the possible impact that dependent failure modes and the behavior of economic agents have on the reliability of bulk power systems.
by Frank A. Felder.
Ph.D.
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3

Beser, Mehmet Resat. "A Study On The Reliability-based Safety Analysis Of Concrete Gravity Dams." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605786/index.pdf.

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Dams are large hydraulic structures constructed to meet various project demands. Their roles in both environment and the economy of a country are so important that their design and construction should be carried out for negligibly small risk. Conventional design approaches are deterministic, which ignore variations of the governing variables. To offset this limitation, high safety factors are considered that increase the cost of the structure. Reliability&ndash
based design approaches are probabilistic in nature since possible sources of uncertainties associated with the variables are identified using statistical information, which are incorporated into the reliability models. Risk analysis with the integration of risk management and risk assessment is a growing trend in dam safety. A computer program, named CADAM, which is based on probabilistic treatment of random loading and resistance terms using Monte&ndash
Carlo simulation technique, can be used for the safety analysis of gravity dams. A case study is conducted to illustrate the use of this program.
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4

Trayhorn, Benjamin. "Power plant system reliability analysis : applications to insurance risk selection and pricing." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7906.

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Анотація:
Within the Speciality Engineering Insurance Field the use of engineering opinion is the main component in risk analysis for underwriting decision making. The use of risk analysis tools to quantify the risk associated with perils such as mechanical breakdown is limited. A reliability model for the risk analysis of mechanical breakdown risk for the power generation sector, PowerRAT, has been developed and its performance evaluated against historic claim data. It has proven to closely forecast actual losses over a portfolio of power plants, and differentiate between power plant type; conventional steam, simple and combined cycle gas turbine plants. Differentiation based on the factors of equipment type and policy terms has been demonstrated. A review of existing survey report methodology has shown highly variable quality of reports with significant missing information on which to make underwriting decisions. A best practice survey report contents has been proposed in order to provide a consistent level of information for comparison with other risks. The development cycle of PowerRAT has led to a proposed framework for the development of future risk assessment tools for insurance. This is built on four main areas: risk identification, data analysis, calculation methodology and insurance factors.
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5

Rahman, Anisur. "Modelling and analysis of reliability and costs for lifetime warranty and service contract policies." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16460/1/Anisur_Rahman_Thesis.pdf.

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Анотація:
Reliability of products is becoming increasingly important due to rapid technological development and tough competition in the product market. One effective way to ensure reliability of sold product/asset is to consider after sales services linked to warranty and service contract. One of the major decision variables in designing a warranty is the warranty period. A longer warranty term signals better reliability and provides higher customer/user peace of mind. The warranty period offered by the manufacturer/dealer has been progressively increasing since the beginning of the 20th Century. Currently, a large number of products are being sold with long term warranties in the form of extended warranty, warranty for used product, long term service contracts, and lifetime warranty. Lifetime warranties and service contracts are becoming more and more popular as these types of warranties provide assurance to consumer for a long reliable service and protecting consumers against poor quality and the potential high cost of failure occurring during the long uncertain life of product. The study of lifetime warranty and service contracts is important to both manufacturers and the consumers. Offering a lifetime warranty and long term service contracts incur costs to the manufacturers/service provider over the useful life of the product/contract period. This cost needs to be factored into the price/premium. Otherwise the manufacturer/ dealer will incur loss instead of profit. On the other hand, buyer/user needs to model the cost of maintaining it over the useful life and needs to decide whether these policies/service contracts are worth purchasing or not. The analysis of warranty policies and costs models associated with short-term or fixed term policies have received a lot of attention. A significant amount of academic research has been conducted in modelling policies and costs for extended warranties and warranty for used products. In contrast, lifetime warranty policies and longer term service contracts have not been studied as extensively. There are complexities in developing failure and cost models for these policies due to the uncertainties of useful life, usage pattern, maintenance actions and cost of rectifications over longer period. This thesis defines product's lifetime based on current practices. Since there is no acceptable definition of lifetime or the useful life of product in existing academic literatures, different manufacturer/dealers are using different conditions of life measures of period of coverage and it is often difficult to tell whose life measures are applicable to the period of coverage (The Magnuson-Moss Warranty Act, 1975). Lifetime or the useful life is defined in this thesis provides a transparency for the useful life of products to both manufacturers/service provider and the customers. Followed by the formulation of an acceptable definition of lifetime, a taxonomy of lifetime warranty policies is developed which includes eight different one dimensional and two dimensional lifetime warranty policies and are grouped into three major categories, A. Free rectification lifetime warranty policies (FRLTW), B. Cost Sharing Lifetime Warranty policies (CSLTW), and C. Trade in policies (TLTW). Mathematical models for predicting failures and expected costs for different one dimensional lifetime warranty policies are developed at system level and analysed by capturing the uncertainties of lifetime coverage period and the uncertainties of rectification costs over the lifetime. Failures and costs are modelled using stochastic techniques. These are illustrated by numerical examples for estimating costs to manufacturer and buyers. Various rectification policies were proposed and analysed over the lifetime. Manufacturer's and buyer's risk attitude towards a lifetime warranty price are modelled based on the assumption of time dependent failure intensity, constant repair costs and concave utility function through the use of the manufacturer's utility function for profit and the buyer's utility function for cost. Sensitivity of the optimal warranty prices are analysed with numerical examples with respect to the factors such as the buyer's and the manufacturer/dealer's risk preferences, buyer's anticipated and manufacturer's estimated product failure intensity, the buyer's loyalty to the original manufacturer/dealer in repairing failed product and the buyer's repair costs for unwarranted products. Three new service contract policies and cost models for those policies are developed considering both corrective maintenance and planned preventive maintenance as the servicing strategies during the contract period. Finally, a case study is presented for estimating the costs of outsourcing maintenance of rails through service contracts. Rail failure/break data were collected from the Swedish rail and analysed for predicting failures. Models developed in this research can be used for managerial decisions in purchasing life time warranty policies and long term service contracts or outsourcing maintenance. This thesis concludes with a brief summary of the contributions that it makes to this field and suggestions and recommendations for future research for lifetime warranties and service contracts.
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6

Rahman, Anisur. "Modelling and analysis of reliability and costs for lifetime warranty and service contract policies." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16460/.

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Анотація:
Reliability of products is becoming increasingly important due to rapid technological development and tough competition in the product market. One effective way to ensure reliability of sold product/asset is to consider after sales services linked to warranty and service contract. One of the major decision variables in designing a warranty is the warranty period. A longer warranty term signals better reliability and provides higher customer/user peace of mind. The warranty period offered by the manufacturer/dealer has been progressively increasing since the beginning of the 20th Century. Currently, a large number of products are being sold with long term warranties in the form of extended warranty, warranty for used product, long term service contracts, and lifetime warranty. Lifetime warranties and service contracts are becoming more and more popular as these types of warranties provide assurance to consumer for a long reliable service and protecting consumers against poor quality and the potential high cost of failure occurring during the long uncertain life of product. The study of lifetime warranty and service contracts is important to both manufacturers and the consumers. Offering a lifetime warranty and long term service contracts incur costs to the manufacturers/service provider over the useful life of the product/contract period. This cost needs to be factored into the price/premium. Otherwise the manufacturer/ dealer will incur loss instead of profit. On the other hand, buyer/user needs to model the cost of maintaining it over the useful life and needs to decide whether these policies/service contracts are worth purchasing or not. The analysis of warranty policies and costs models associated with short-term or fixed term policies have received a lot of attention. A significant amount of academic research has been conducted in modelling policies and costs for extended warranties and warranty for used products. In contrast, lifetime warranty policies and longer term service contracts have not been studied as extensively. There are complexities in developing failure and cost models for these policies due to the uncertainties of useful life, usage pattern, maintenance actions and cost of rectifications over longer period. This thesis defines product's lifetime based on current practices. Since there is no acceptable definition of lifetime or the useful life of product in existing academic literatures, different manufacturer/dealers are using different conditions of life measures of period of coverage and it is often difficult to tell whose life measures are applicable to the period of coverage (The Magnuson-Moss Warranty Act, 1975). Lifetime or the useful life is defined in this thesis provides a transparency for the useful life of products to both manufacturers/service provider and the customers. Followed by the formulation of an acceptable definition of lifetime, a taxonomy of lifetime warranty policies is developed which includes eight different one dimensional and two dimensional lifetime warranty policies and are grouped into three major categories, A. Free rectification lifetime warranty policies (FRLTW), B. Cost Sharing Lifetime Warranty policies (CSLTW), and C. Trade in policies (TLTW). Mathematical models for predicting failures and expected costs for different one dimensional lifetime warranty policies are developed at system level and analysed by capturing the uncertainties of lifetime coverage period and the uncertainties of rectification costs over the lifetime. Failures and costs are modelled using stochastic techniques. These are illustrated by numerical examples for estimating costs to manufacturer and buyers. Various rectification policies were proposed and analysed over the lifetime. Manufacturer's and buyer's risk attitude towards a lifetime warranty price are modelled based on the assumption of time dependent failure intensity, constant repair costs and concave utility function through the use of the manufacturer's utility function for profit and the buyer's utility function for cost. Sensitivity of the optimal warranty prices are analysed with numerical examples with respect to the factors such as the buyer's and the manufacturer/dealer's risk preferences, buyer's anticipated and manufacturer's estimated product failure intensity, the buyer's loyalty to the original manufacturer/dealer in repairing failed product and the buyer's repair costs for unwarranted products. Three new service contract policies and cost models for those policies are developed considering both corrective maintenance and planned preventive maintenance as the servicing strategies during the contract period. Finally, a case study is presented for estimating the costs of outsourcing maintenance of rails through service contracts. Rail failure/break data were collected from the Swedish rail and analysed for predicting failures. Models developed in this research can be used for managerial decisions in purchasing life time warranty policies and long term service contracts or outsourcing maintenance. This thesis concludes with a brief summary of the contributions that it makes to this field and suggestions and recommendations for future research for lifetime warranties and service contracts.
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7

Kevorkian, Christopher George. "UAS Risk Analysis using Bayesian Belief Networks: An Application to the VirginiaTech ESPAARO." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/73047.

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Small Unmanned Aerial Vehicles (SUAVs) are rapidly being adopted in the National Airspace (NAS) but experience a much higher failure rate than traditional aircraft. These SUAVs are quickly becoming complex enough to investigate alternative methods of failure analysis. This thesis proposes a method of expanding on the Fault Tree Analysis (FTA) method to a Bayesian Belief Network (BBN) model. FTA is demonstrated to be a special case of BBN and BBN can allow for more complex interactions between nodes than is allowed by FTA. A model can be investigated to determine the components to which failure is most sensitive and allow for redundancies or mitigations against those failures. The introduced method is then applied to the Virginia Tech ESPAARO SUAV.
Master of Science
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8

Syrri, Angeliki Lydia Antonia. "Reliability and risk analysis of post fault capacity services in smart distribution networks." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/reliability-and-risk-analysis-of-post-fault-capacity-services-in-smart-distribution-networks(b1a93b49-d307-4561-800d-0a9944a7a577).html.

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Recent technological developments are bringing about substantial changes that are converting traditional distribution networks into "smart" distribution networks. In particular, it is possible to observe seamless integration of Information and Communication Technologies (ICTs), including the widespread installation of automatic equipment, smart meters, etc. The increased automation facilitates active network management, interaction between market actors and demand side participation. If we also consider the increasing penetration of distributed generation, renewables and various emerging technologies such as storage and dynamic rating, it can be argued that the capacity of distribution networks should not only depend on conventional asset. In this context, taking into account uncertain load growth and ageing infrastructure, which trigger network investments, the above-mentioned advancements could alter and be used to improve the network design philosophy adopted so far. Hitherto, in fact, networks have been planned according to deterministic and conservative standards, being typically underutilised, in order for capacity to be available during emergencies. This practice could be replaced by a corrective philosophy, where existing infrastructure could be fully unlocked for normal conditions and distributed energy resources could be used for post fault capacity services. Nonetheless, to thoroughly evaluate the contribution of the resources and also to properly model emergency conditions, a probabilistic analysis should be carried out, which captures the stochasticity of some technologies, the randomness of faults and, thus, the risk profile of smart distribution networks. The research work in this thesis proposes a variety of post fault capacity services to increase distribution network utilisation but also to provide reliability support during emergency conditions. In particular, a demand response (DR) scheme is proposed where DR customers are optimally disconnected during contingencies from the operator depending on their cost of interruption. Additionally, time-limited thermal ratings have been used to increase network utilisation and support higher loading levels. Besides that, a collaborative operation of wind farms and electrical energy storage is proposed and evaluated, and their capacity contribution is calculated through the effective load carrying capability. Furthermore, the microgrid concept is examined, where multi-generation technologies collaborate to provide capacity services to internal customers but also to the remaining network. Finally, a distributed software infrastructure is examined which could be effectively used to support services in smart grids. The underlying framework for the reliability analysis is based on Sequential Monte Carlo Simulations, capturing inter-temporal constraints of the resources (payback effects, dynamic rating, DR profile, storage remaining available capacity) and the stochasticity of electrical and ICT equipment. The comprehensive distribution network reliability analysis includes network reconfiguration, restoration process, and ac power flow calculations, supporting a full risk analysis and building the risk profile for the arising smart distribution networks. Real case studies from ongoing project in England North West demonstrate the concepts and tools developed and provide noteworthy conclusions to network planners, including to inform design of DR contracts.
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9

Vannini, Alessandro. "Human Reliability Analysis for Dynamic Risk Assessment: a case of ammonia production plant." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Анотація:
I fattori umani e organizzativi svolgono un ruolo chiave nella prevenzione e mitigazione di incidenti rilevanti. La Quantitative Risk Analysis (QRA), considera come cause di incidente solamente i fattori tecnici. Dunque è possibile integrare questa analisi con tecniche per Human Reliability Analysis (HRA), ma la loro applicazione è ancora limitata al settore nucleare. Inoltre, la staticità della QRA ha costruito le basi per la valutazione dinamica del rischio. Nel presente lavoro, è stato considerato un generico impianto di produzione di ammoniaca, per il quale è stato creato un database di incidenti e near misses che ha mostrato come i fattori umani rappresentano la seconda causa di incidenti. Successivamente è stato considerato come caso di studio rappresentativo la rottura catastrofica di un serbatoio di stoccaggio di ammoniaca avvenuta in Lituania nel 1989, al quale è stata eseguita una bow-tie analysis per identificare le cause della rottura e le barriere di sicurezza coinvolte. In seguito, tre metodi per l’analisi dei fattori umani e organizzativi sono stati applicati al caso di studio. Il metodo REWI (Early Warning Indicator), basato sul concetto di resilienza, stabilisce una serie di indicatori il cui monitoraggio periodico può contribuire alla gestione del rischio in maniera proattiva. Il metodo Petro-HRA è una tecnica innovativa per la Human Reliability Analysis sviluppata per l’industria petrolchimica. Essa fornisce un metodo sistematico per valutare i fattori umani e organizzativi attraverso una procedura dettagliata. Infine il metodo TECnical Operational and Organizational factors (TEC2O) per la valutazione dinamica del rischio. Questo metodo considera fattori tecnici, umani e organizzativi, combinando i vantaggi dei metodi HRA con le caratteristiche dinamiche e di resilienza della metodologia REWI. Il suo risultato mostra una valutazione del rischio più completa e realistica e consente di identificare le caratteristiche di ciascun metodo trattato.
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10

Shirley, Rachel B. "Science Based Human Reliability Analysis: Using Digital Nuclear Power Plant Simulators for Human Reliability Research." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu149428353178302.

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Книги з теми "Risk and Reliability Analysis"

1

Aven, Terje. Reliability and Risk Analysis. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2858-2.

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2

Frankel, Ernst G. Systems Reliability and Risk Analysis. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2776-6.

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3

Modarres, Mohammad, Mark P. Kaminskiy, and Vasiliy Krivtsov. Reliability Engineering and Risk Analysis. Third edition. | Boca Raton: Taylor & Francis, a CRC title,: CRC Press, 2016. http://dx.doi.org/10.1201/9781315382425.

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4

Modarres, M. Reliability engineering and risk analysis. New York: Marcel Dekker, 1999.

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5

Systems reliability and risk analysis. 2nd ed. Dordrecht: Kluwer Academic Publishers, 1988.

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6

Frenkel, Ilia B., Alex Karagrigoriou, Anatoly Lisnianski, and Andre Kleyner, eds. Applied Reliability Engineering and Risk Analysis. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118701881.

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7

J, Flamm, and Luisi T, eds. Reliability data collection and analysis. Dordrecht: Kluwer Academic Publishers, 1992.

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8

Gardoni, Paolo, ed. Risk and Reliability Analysis: Theory and Applications. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52425-2.

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9

1935-, Yen Ben Chie, and Melching Charles S, eds. Hydrosystems engineering reliability assessment and risk analysis. New York: McGraw-Hill, 2006.

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10

Computational methods for reliability and risk analysis. Singapore: World Scientific, 2009.

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Частини книг з теми "Risk and Reliability Analysis"

1

Flaus, Jean-Marie. "Human Reliability Analysis." In Risk Analysis, 263–92. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118790021.ch14.

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2

Rausand, Marvin. "Human Reliability Analysis." In Risk Assessment, 409–56. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118281116.ch13.

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3

Modarres, Mohammad, and Katrina Groth. "Risk Analysis." In Reliability and Risk Analysis, 377–414. 2nd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003307495-9.

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4

Paté-Cornell, M. Elisabeth. "Organizational Factors in Reliability Models." In Risk Analysis, 213–27. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0730-1_22.

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5

Aven, Terje. "Risk Analysis." In Springer Series in Reliability Engineering, 125–49. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-470-8_5.

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6

Holmgren, Åke J., and Torbjörn Thedéen. "Risk Analysis." In Springer Series in Reliability Engineering, 199–224. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-641-0_13.

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7

Modarres, Mohammad, Mark P. Kaminskiy, and Vasiliy Krivtsov. "Risk Analysis." In Reliability Engineering and Risk Analysis, 427–65. Third edition. | Boca Raton: Taylor & Francis, a CRC title,: CRC Press, 2016. http://dx.doi.org/10.1201/9781315382425-8.

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Modarres, Mohammad, and Katrina Groth. "System Reliability Analysis." In Reliability and Risk Analysis, 211–80. 2nd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003307495-6.

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Karamouz, Mohammad. "Risk and Reliability." In Water Systems Analysis, Design, and Planning, 571–628. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003241744-10.

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Modarres, Mohammad, and Katrina Groth. "Basic Reliability Mathematics." In Reliability and Risk Analysis, 27–91. 2nd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003307495-2.

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Тези доповідей конференцій з теми "Risk and Reliability Analysis"

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Majdara, A., and T. Wakabayashi. "Computerized fault tree construction for improved reliability analysis." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100141.

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Amicucci, G. L., and P. Gentile. "Reliability evaluation of metal oxide varistors for maintenance scheduling." In RISK ANALYSIS 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/risk060171.

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Moss, Robb Eric S. "Seismic Earth Pressure Reliability Analysis." In Geo-Risk 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480700.052.

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Damaso, V. C., P. A. M. Cabral, and L. A. Aguiar. "An integrated approach for risk analysis based on CFD modelling and reliability engineering." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100081.

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Wang, Lei, Michael Powers, and Wenping Gong. "Reliability Analysis of Geosynthetic Reinforced Soil Walls." In Geo-Risk 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480724.009.

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Ji, Jian, and Jayantha Kodikara. "A Practical HLRF Algorithm for Slope Reliability Analysis." In Geo-Risk 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480700.009.

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Kwak, Dong Youp, Ruben Jongejan, Paolo Zimmaro, Scott J. Brandenberg, and Jonathan P. Stewart. "Methods for Probabilistic Seismic Levee System Reliability Analysis." In Geo-Risk 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480700.014.

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Löfman, Monica S., and Leena K. Korkiala-Tanttu. "Serviceability Limit State Reliability Analysis of Perniö Railway Embankment." In Geo-Risk 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480700.016.

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Wang, Tao, Le-Pei Wang, and Jian Ji. "WUS-Based Reliability Analysis of Stabilizing Pile-Reinforced Slopes." In Geo-Risk 2023. Reston, VA: American Society of Civil Engineers, 2023. http://dx.doi.org/10.1061/9780784484999.038.

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Ebenuwa, Andrew Utomi, and Kong Fah Tee. "Reliability Analysis of Buried Pipes with Corrosion and Seismic Impact." In Geo-Risk 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480724.038.

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Звіти організацій з теми "Risk and Reliability Analysis"

1

Russell, K., M. McKay, Sattison, M.B. Skinner, N.L., S. Wood, and D. Rasmuson. Integrated Reliability and Risk Analysis System (IRRAS). Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/5853623.

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Tuegel, Eric J., Robert P. Bell, Alan P. Berens, Thomas Brussat, Joseph W. Cardinal, Joseph P. Gallagher, and James Rudd. Aircraft Structural Reliability and Risk Analysis Handbook Volume 1: Basic Analysis Methods. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada587824.

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3

George A. Beitel. Novel Threat-risk Index Using Probabilistic Risk Assessment and Human Reliability Analysis - Final Report. Office of Scientific and Technical Information (OSTI), February 2004. http://dx.doi.org/10.2172/910601.

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4

Cadwallader, L., and S. Piet. 1989 failure rate screening data for fusion reliability and risk analysis. Office of Scientific and Technical Information (OSTI), September 1989. http://dx.doi.org/10.2172/5503736.

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Russell, K. D., K. J. Kvarfordt, N. L. Skinner, S. T. Wood, and D. M. Rasmuson. Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE), Version 5.0: Integrated Reliability and Risk Analysis System (IRRAS) reference manual. Volume 2. Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10171616.

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VanHorn, R. L., K. D. Russell, and N. L. Skinner. Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE), Version 5.0: Integrated Reliability and Risk Analysis System (IRRAS) tutorial manual. Volume 3. Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10171617.

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Maes. PR-328-123601-R01 Improvements to Consequence Modeling in RBDA - Targets Risk Consequence Analysis. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2012. http://dx.doi.org/10.55274/r0010773.

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Анотація:
This study was performed to address specific issues in the �Reliability Based Design and Assessment� (RBDA) approach as laid out in e.g. GRI-04/0229 and CSA Z662 Annex O (2007). Specifically: improvement of the consequence model for equipment impact acceptable individual and societal risks clarification if reliability levels can be interpreted in an historical/absolute sense; examination of the role of knowledge uncertainty. All of these issues have been addressed in the present study. In addition, the RBDA design test cases on which the development of the current risk/reliability levels are based, have been reproduced, verified, and compared with all the available DOT-PHMSA gas pipeline incident failures and fatality data bases.
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Russell, K. D., M. B. Sattison, and D. M. Rasmuson. Integrated Reliability and Risk Analysis System (IRRAS) Version 2. 0 user's guide. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/6888085.

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Robinson, D. G. A survey of probabilistic methods used in reliability, risk and uncertainty analysis: Analytical techniques 1. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/672080.

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Budnitz, R. J., and H. E. Lambert. An evaluation of the reliability and usefulness of external-initiator PRA (probabilistic risk analysis) methodologies. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/5129419.

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