Gotowa bibliografia na temat „Stochastic deterioration”
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Artykuły w czasopismach na temat "Stochastic deterioration"
Naserabadi, Bahar, Abolfazl Mirzazadeh i Sara Nodoust. "A New Mathematical Inventory Model with Stochastic and Fuzzy Deterioration Rate under Inflation". Chinese Journal of Engineering 2014 (14.08.2014): 1–10. http://dx.doi.org/10.1155/2014/347857.
Pełny tekst źródłaZhou, Binghai, Faqun Qi i Hongyu Tao. "Condition-based maintenance modeling for a two-stage deteriorating system with random changes based on stochastic process". Journal of Quality in Maintenance Engineering 23, nr 4 (9.10.2017): 383–99. http://dx.doi.org/10.1108/jqme-11-2015-0061.
Pełny tekst źródłaVale, Cecília, i Isabel M. Ribeiro. "RAILWAY CONDITION-BASED MAINTENANCE MODEL WITH STOCHASTIC DETERIORATION". JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 20, nr 5 (10.10.2014): 686–92. http://dx.doi.org/10.3846/13923730.2013.802711.
Pełny tekst źródłaLi, Junxiang, Jianqiao Chen i Zhiqiang Chen. "A new cumulative damage model for time-dependent reliability analysis of deteriorating structures". Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 234, nr 2 (20.11.2019): 290–302. http://dx.doi.org/10.1177/1748006x19886157.
Pełny tekst źródłaLangeron, Yves, Antoine Grall i Anne Barros. "Joint maintenance and controller reconfiguration policy for a gradually deteriorating control system". Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 231, nr 4 (31.03.2017): 339–49. http://dx.doi.org/10.1177/1748006x17692155.
Pełny tekst źródłaMaes, Marc A. "Updating Performance and Reliability of Concrete Structures Using Discrete Empirical Bayes Methods". Journal of Offshore Mechanics and Arctic Engineering 124, nr 4 (22.10.2002): 239–44. http://dx.doi.org/10.1115/1.1491973.
Pełny tekst źródłaFilina-Dawidowicz, Ludmiła, i Mykhaylo Postan. "Stochastic model of deteriorating cargo transshipment at port’s terminal under irregular arrival of ships". SHS Web of Conferences 58 (2018): 01010. http://dx.doi.org/10.1051/shsconf/20185801010.
Pełny tekst źródłaJia, Gaofeng, i Paolo Gardoni. "State-dependent stochastic models: A general stochastic framework for modeling deteriorating engineering systems considering multiple deterioration processes and their interactions". Structural Safety 72 (maj 2018): 99–110. http://dx.doi.org/10.1016/j.strusafe.2018.01.001.
Pełny tekst źródłaEbrahimi, Nader. "A stochastic covariate failure model for assessing system reliability". Journal of Applied Probability 38, nr 3 (wrzesień 2001): 761–67. http://dx.doi.org/10.1239/jap/1005091039.
Pełny tekst źródłaEbrahimi, Nader. "A stochastic covariate failure model for assessing system reliability". Journal of Applied Probability 38, nr 03 (wrzesień 2001): 761–67. http://dx.doi.org/10.1017/s002190020001891x.
Pełny tekst źródłaRozprawy doktorskie na temat "Stochastic deterioration"
SILVA, Rodrigo Bernardo da. "A Bayesian approach for modeling stochastic deterioration". Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/5610.
Pełny tekst źródłaConselho Nacional de Desenvolvimento Científico e Tecnológico
A modelagem de deterioracão tem estado na vanguarda das analises Bayesianas de confiabilidade. As abordagens mais conhecidas encontradas na literatura para este proposito avaliam o comportamento da medida de confiabilidade ao longo do tempo a luz dos dados empiricos, apenas. No contexto de engenharia de confiabilidade, essas abordagens têm aplicabilidade limitada uma vez que frequentemente lida-se com situacões caracterizadas pela escassez de dados empiricos. Inspirado em estrategias Bayesianas que agregam dados empiricos e opiniões de especialistas na modelagem de medidas de confiabilidade não-dependentes do tempo, este trabalho propõe uma metodologia para lidar com confiabilidade dependente do tempo. A metodologia proposta encapsula conhecidas abordagens Bayesianas, como metodos Bayesianos para combinar dados empiricos e opiniões de especialistas e modelos Bayesianos indexados no tempo, promovendo melhorias sobre eles a fim de encontrar um modelo mais realista para descrever o processo de deterioracão de um determinado componente ou sistema. Os casos a serem discutidos são os tipicamente encontrados na pratica de confiabilidade (por meio de simulacão): avaliacão dos dados sobre tempo de execucão para taxas de falha e a quantidade de deterioracão, dados com base na demanda para probabilidade de falha; e opiniões de especialistas para analise da taxa de falha, quantidade de deterioracão e probabilidade de falha. Estes estudos de caso mostram que o uso de informacões especializadas pode levar a uma reducão da incerteza sobre distribuicões de medidas de confiabilidade, especialmente em situacões em que poucas ou nenhuma falha e observada.
Ahmadi, Reza. "Stochastic modelling and maintenance optimization of systems subject to deterioration". Thesis, City University London, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540627.
Pełny tekst źródłaHackl, Jürgen. "Generic Framework for Stochastic Modeling of Reinforced Concrete Deterioration Caused by Corrosion". Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for konstruksjonsteknikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23861.
Pełny tekst źródłaHwisu, Shin. "Stochastic Analysis For Water Pipeline System Management". 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/202696.
Pełny tekst źródłaChang, Minwoo. "Investigating and Improving Bridge Management System Methodologies Under Uncertainty". DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/5039.
Pełny tekst źródłaBaingo, Darek. "A Framework for Stochastic Finite Element Analysis of Reinforced Concrete Beams Affected by Reinforcement Corrosion". Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23063.
Pełny tekst źródłaYang, Jidong. "Road crack condition performance modeling using recurrent Markov chains and artificial neural networks". [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000567.
Pełny tekst źródłaZhu, Wenjin. "Maintenance of monitored systems with multiple deterioration mechanisms in dynamic environments : application to wind turbines". Thesis, Troyes, 2014. http://www.theses.fr/2014TROY0005/document.
Pełny tekst źródłaThe thesis contributes to stochastic maintenance modeling of single or multi-components deteriorating systems with several failure modes evolving in a dynamic environment. In one hand, the failure process modeling is addressed and in the other hand, the thesis proposes maintenance decision rules taking into account available on-line monitoring information (system state, deterioration level, environmental conditions …) and develops mathematical models to measure the performances of the latter decision rules.In the framework of single component systems, the proposed deterioration and failure models take into account several deterioration causes (chocks and wear) and also the impact of environmental conditions on the deterioration. For multi-components systems, the competing risk models are considered and the dependencies and the impact of the environmental conditions are also studied. The proposed maintenance models are suitable for deterioration models and permit to consider different deterioration causes and to analyze the impact of the monitoring on the performances of the maintenance policies. For each case, the interest and applicability of models are analyzed through the example of wind turbine and wind turbine farm maintenance
Kosgodagan, Alex. "High-dimensional dependence modelling using Bayesian networks for the degradation of civil infrastructures and other applications". Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0020/document.
Pełny tekst źródłaThis thesis explores high-dimensional deterioration-related problems using Bayesian networks (BN). Asset managers become more and more familiar on how to reason with uncertainty as traditional physics-based models fail to fully encompass the dynamics of large-scale degradation issues. Probabilistic dependence is able to achieve this while the ability to incorporate randomness is enticing.In fact, dependence in BN is mainly expressed in two ways. On the one hand, classic conditional probabilities that lean on thewell-known Bayes rule and, on the other hand, a more recent classof BN featuring copulae and rank correlation as dependence metrics. Both theoretical and practical contributions are presented for the two classes of BN referred to as discrete dynamic andnon-parametric BN, respectively. Issues related to the parametrization for each class of BN are addressed. For the discrete dynamic class, we extend the current framework by incorporating an additional dimension. We observed that this dimension allows to have more control on the deterioration mechanism through the main endogenous governing variables impacting it. For the non-parametric class, we demonstrate its remarkable capacity to handle a high-dimension crack growth issue for a steel bridge. We further show that this type of BN can characterize any Markov process
Langeron, Yves. "Modélisation stochastique pour la sûreté de fonctionnement des systèmes commandés". Thesis, Troyes, 2015. http://www.theses.fr/2015TROY0001/document.
Pełny tekst źródłaIn the context of control systems, the research effort is focused on how to reconfigure the control law upon the occurrence of a faulty situation. The reconfiguration procedure aims to overcome the fault and thus to maintain system performances. The main issue of this thesis is to study these systems in terms of their dependability by questioning the causes that generate a fault. Then it is assumed a close relationship between the control of a system, its degradation and its faults. A stochastic modelling framework is proposed combining the use of the system and the various modes of deterioration. The actuator is assumed to be the most critical part of a system. The prognosis of its remaining life RUL is derived from these models. This RUL is then used as a tool for reconfiguring the LQR law (Linear Quadratic Regulator) of a system with a single actuator in the context of a predictive maintenance. The impact of this new maintenance policy on static and dynamic performances is assessed. Finally the stochastic behavior of a fault tolerant control system is studied by means of the achieved models
Części książek na temat "Stochastic deterioration"
Tran, H., i S. Setunge. "Deterioration Modeling of Concrete Bridges and Potential Nanotechnology Application". W Lecture Notes in Civil Engineering, 399–408. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3330-3_41.
Pełny tekst źródłaJia, Gaofeng, i Paolo Gardoni. "Stochastic life-cycle analysis and performance optimization of deteriorating engineering systems using state-dependent deterioration stochastic models". W Routledge Handbook of Sustainable and Resilient Infrastructure, 580–602. Abingdon, Oxon ; New York, NY : Routledge, 2019. |: Routledge, 2018. http://dx.doi.org/10.4324/9781315142074-30.
Pełny tekst źródłaJha, Manoj K. "Optimal Highway Infrastructure Maintenance Scheduling Considering Deterministic and Stochastic Aspects of Deterioration". W Sustainable and Resilient Critical Infrastructure Systems, 231–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11405-2_9.
Pełny tekst źródłaSavage, Gordon J., i Young Kap Son. "Efficient Use of Meta-Models for Reliability-Based Design Optimization of Systems Under Stochastic Excitations and Stochastic Deterioration". W Handbook of Advanced Performability Engineering, 383–401. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55732-4_17.
Pełny tekst źródłaFujimoto, Y., M. Mizutani, S. Swilem i M. Asaka. "Inspection Strategy for Deteriorating Structures Based on Cost Minimization Approach". W Computational Stochastic Mechanics, 421–32. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3692-1_36.
Pełny tekst źródłaKawai, Hajime, Junji Koyanagi i Masamitsu Ohnishi. "Optimal Maintenance Problems for Markovian Deteriorating Systems". W Stochastic Models in Reliability and Maintenance, 193–218. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-540-24808-8_8.
Pełny tekst źródłaLee, Chiang-Sheng, Chien-Hung Cho, Cheng-Thai Tsai i Hsine-Jen Tsai. "Considering a Deteriorating EOQ Model Under Stochastic Demand and Shortage Allowed". W Lecture Notes in Production Engineering, 235–46. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18641-7_23.
Pełny tekst źródłaFilina-Dawidowicz, Ludmila, i Mykhaylo Postan. "Models of Stochastic Optimization for Deteriorating Cargo Inventory Control at Port’s Terminal". W Dynamics in Logistics, 40–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74225-0_6.
Pełny tekst źródłaZhu, Yukui, Xiang Cao, Jian Dong i Mengke Fu. "Optimization of Condition-Based Maintenance Strategy for Stochastic and Continuous Deteriorating Systems". W Lecture Notes in Electrical Engineering, 986–93. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7423-5_98.
Pełny tekst źródłaFeng, Ying, i Yanzhi Zhang. "Joint Pricing and Replenishment Policies for a Deteriorating Inventory Model with Stochastic Demand". W Communications in Computer and Information Science, 663–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23235-0_84.
Pełny tekst źródłaStreszczenia konferencji na temat "Stochastic deterioration"
Castro, Inma T., i Lucía Bautista. "Multiple Deterioration Processes with Stochastic Arrival Intensity". W Proceedings of the 31st European Safety and Reliability Conference. Singapore: Research Publishing Services, 2021. http://dx.doi.org/10.3850/978-981-18-2016-8_707-cd.
Pełny tekst źródłaAboura, Khalid, Bijan Samali, Keith Crews i Jianchun Li. "Stochastic Deterioration Processes for Bridge Lifetime Assessment". W 2008 Third International Conference on Broadband Communications, Information Technology & Biomedical Applications. IEEE, 2008. http://dx.doi.org/10.1109/broadcom.2008.6.
Pełny tekst źródłaXiang, Yisha, i C. Casady. "Time to Failure Behavior under a Stochastic Deterioration Model". W 2007 Proceedings Annual Reliability and Maintainability Sympsoium. IEEE, 2007. http://dx.doi.org/10.1109/rams.2007.328108.
Pełny tekst źródłaMehrabani, Mehrdad Bahari, i Hua-Peng Chen. "PERFORMANCE PREDICTIONS OF COASTAL DEFENCES USING STOCHASTIC DETERIORATION MODELLING". W 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2017. http://dx.doi.org/10.7712/120217.5357.16869.
Pełny tekst źródłaAhmed, Reem, Ahmed Assad, Eslam Mohammed Abdelkader, Tarek Zayed i Fuzhan Nasiri. "Stochastic-based Deterioration Modeling of Elevators in Healthcare Facilities". W 2020 International Conference on Decision Aid Sciences and Application (DASA). IEEE, 2020. http://dx.doi.org/10.1109/dasa51403.2020.9317250.
Pełny tekst źródłaSrikanth, Ishwarya, i M. Arockiasamy. "Stochastic Time-Dependent Deterioration Models for Estimating Residual Service Life of Offshore Jacket-Type Platforms". W ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-62919.
Pełny tekst źródłaHachem, Hassan, Hai Canh Vu i Mitra Fouladirad. "Remaining Useful Lifetime Prediction and Noisy Stochastic Deterioration Process Considering Sensor Degradation". W Proceedings of the 31st European Safety and Reliability Conference. Singapore: Research Publishing Services, 2021. http://dx.doi.org/10.3850/978-981-18-2016-8_209-cd.
Pełny tekst źródłaSaad, Dina, Mohamed Bahaa i Hesham Osman. "Optimization of Infrastructure Rehabilitation Funding Decisions Considering Vulnerability-Based Stochastic Deterioration Modelling". W Construction Research Congress 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482858.034.
Pełny tekst źródłaHe, David, Ruoyu Li i Eric Bechhoefer. "Stochastic Modeling of Damage Physics for Mechanical Component Prognostics Using Condition Indicators". W ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86483.
Pełny tekst źródłaZuo, J., C. Cadet, Z. Li, C. Berenguer i R. Outbib. "Fuel Cell Stochastic Deterioration Modeling for Energy Management in a Multi-stack System". W 2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS). IEEE, 2022. http://dx.doi.org/10.1109/icrms55680.2022.9944566.
Pełny tekst źródłaRaporty organizacyjne na temat "Stochastic deterioration"
Méndez-Vizcaíno, Juan C., i Nicolás Moreno-Arias. A Global Shock with Idiosyncratic Pains: State-Dependent Debt Limits for LATAM during the COVID-19 pandemic. Banco de la República, październik 2021. http://dx.doi.org/10.32468/be.1175.
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