Academic literature on the topic 'Stochastic deterioration'

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Journal articles on the topic "Stochastic deterioration"

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Naserabadi, Bahar, Abolfazl Mirzazadeh, and Sara Nodoust. "A New Mathematical Inventory Model with Stochastic and Fuzzy Deterioration Rate under Inflation." Chinese Journal of Engineering 2014 (August 14, 2014): 1–10. http://dx.doi.org/10.1155/2014/347857.

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This paper develops an inventory model for items with uncertain deterioration rate, time-dependent demand rate with nonincreasing function, and allowable shortage under fuzzy inflationary situation. The goods are not deteriorating upon reception, but the deteriorating starts after elapsing a specified time. The lead time and inflation rate are both uncertain in the model. The resultant effect of inflation and time value of money is assumed to be fuzzy in nature and also we consider lead time as a fuzzy function of order quantity. Furthermore the following different deterioration rates have bee
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Zhou, Binghai, Faqun Qi, and 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, no. 4 (2017): 383–99. http://dx.doi.org/10.1108/jqme-11-2015-0061.

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Purpose The purpose of this paper is to develop a condition-based maintenance (CBM) model for those systems subject to the two-stage deterioration including a deterioration pitting initiation process and a deterioration pitting growth process. Design/methodology/approach Regarding environmental changes as random shocks, the effect of environmental changes on the deterioration process is considered. Then, non-homogeneous Poison process and non-stationary gamma process are introduced to model the deterioration pitting initiation process and the deterioration pitting growth process, respectively.
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Vale, Cecília, and Isabel M. Ribeiro. "RAILWAY CONDITION-BASED MAINTENANCE MODEL WITH STOCHASTIC DETERIORATION." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 20, no. 5 (2014): 686–92. http://dx.doi.org/10.3846/13923730.2013.802711.

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The application of mathematical programming for scheduling preventive maintenance in railways is relatively new. This paper presents a stochastic mathematical model designed to optimize and to predict tamping operations in ballasted tracks as preventive condition-based maintenance. The model is formulated as a mixed 0–1 nonlinear program that considers real technical aspects as constraints: the reduction of the geometrical track quality over time is characterized by the deterioration rate of the standard deviation of the longitudinal level; the track layout; the dependency of the track recover
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Langeron, Yves, Antoine Grall, and 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, no. 4 (2017): 339–49. http://dx.doi.org/10.1177/1748006x17692155.

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This paper tackles the maintenance decision-making of gradually deteriorating control systems. The main feature of these systems is their ability within a closed-loop to drive actuators in order to set the controlled process in a given state. Usually, the existing literature deals with the diagnosis of faults of a control system and the means to recover system performances after their appearance. The controller reconfiguration is one of these means. The root cause of a fault is rarely argued nor its occurrence time. Before designing maintenance policies, this paper proposes a stochastic modeli
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Li, Junxiang, Jianqiao Chen, and 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, no. 2 (2019): 290–302. http://dx.doi.org/10.1177/1748006x19886157.

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Performance and reliability of structures will deteriorate with the effects of loads, environment, and interior factors of materials. In this article, a novel cumulative damage model is developed for time-dependent reliability analysis of deteriorating structures. The deterioration is a combination of three stochastic processes: the gradual deterioration posed by aging effects, the sudden deterioration caused by transient loads, and the additional deterioration introduced by sustained loads. The aging effect is modeled as a gamma process, while the transient load is described by a Poisson proc
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Maes, Marc A. "Updating Performance and Reliability of Concrete Structures Using Discrete Empirical Bayes Methods." Journal of Offshore Mechanics and Arctic Engineering 124, no. 4 (2002): 239–44. http://dx.doi.org/10.1115/1.1491973.

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When performing a probabilistic assessment of the reliability of deteriorating structures, we often need to integrate the results of different inspections in time, within the models used to analyze the progress of deterioration. A new framework is described in this paper. It rests on a special case of the empirical Bayes method where the non-observable parameter is a discrete random variable with a relatively small number of outcomes. Various likelihood functions are derived. They are based on mixtures of deterioration scenarios. It is shown how the method can be used to calibrate the response
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Filina-Dawidowicz, Ludmiła, and 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.

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In the article the stochastic model is analyzed for deteriorating cargo transshipment taking into account the irregularity of arrived ships movement and cargo removing from warehouse with the regular surface transport. It is assumed that unloading rate of ships is given and fixed, but hold capacities of ships are randomly varying. During storage the cargo is subjected to deterioration with the given intensity. The problem of stationary probabilistic joint distribution of number of ships in terminal and quantity of cargo in warehouse is investigated. For this purpose the theory of Markov drift
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Jia, Gaofeng, and 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 (May 2018): 99–110. http://dx.doi.org/10.1016/j.strusafe.2018.01.001.

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Mandal, Dr Biswaranjan. "An Inventory Model For Weibull Distributed Deteriorating Items With Stochastic Demand And TimeVarying Holding Cost." IOSR Journal of Mathematics 20, no. 6 (2024): 50–57. https://doi.org/10.9790/0661-2006015057.

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In the present paper, we deal with an inventory model for deteriorating items with stochastic demand in which shortages are allowed with fully backlogged. The holding cost follows the linear trended in time. Here rate of deterioration follows a two-parameter Weibull (Swedish engineer Wallodi Weibull) distribution. The demand pattern is assumed to be linearly dependent on to time with a stochastic error. The model is maximized to the total average profit by finding optimal values. The developed model is illustrated by a numerical example and finally the sensitivity analysis for the optimal solu
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Ebrahimi, Nader. "A stochastic covariate failure model for assessing system reliability." Journal of Applied Probability 38, no. 3 (2001): 761–67. http://dx.doi.org/10.1239/jap/1005091039.

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Many failure mechanisms can be traced to an underlying deterioration process, and stochastically changing covariates may influence this process. In this paper we propose an alternative model for assessing a system's reliability. The proposed model expresses the failure time of a system in terms of a deterioration process and covariates. When it is possible to measure deterioration as well as covariates, our model provides more information than failure time for the purpose of assessing and improving system reliability. We give several properties of our proposed model and also provide an example
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Dissertations / Theses on the topic "Stochastic deterioration"

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SILVA, Rodrigo Bernardo da. "A Bayesian approach for modeling stochastic deterioration." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/5610.

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Made available in DSpace on 2014-06-12T17:40:37Z (GMT). No. of bitstreams: 2 arquivo720_1.pdf: 2087569 bytes, checksum: 4e440439e51674690e086dbc501c7a58 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2010<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>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
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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.

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Hackl, 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.

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Reinforced concrete structures constitute an important fraction of the building infrastructure. This infrastructure is aging and a large number of structures will exceed the prescribed service period in the next decades. The aging of concrete structures is often accompanied by correspondent deterioration mechanisms. One of the major deterioration mechanisms is the corrosion of the reinforcing steel, caused by chloride ions or carbon dioxide exposure.The decisions, made in connection to possible repair or renewals of these structures, have major implications on safety and cost efficiency in a
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Hwisu, Shin. "Stochastic Analysis For Water Pipeline System Management." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/202696.

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Chang, Minwoo. "Investigating and Improving Bridge Management System Methodologies Under Uncertainty." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/5039.

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This dissertation presents a novel procedure to select explanatory variables, without the influence of human bias, for deterioration model development using National Bridge Inventory (NBI) data. Using NBI information, including geometric data and climate information, candidate explanatory variables can be converted into normalized numeric values and analyzed prior to the development of deterministic or stochastic deterioration models. The prevailing approach for explanatory variable selection is to use expert opinion solicited from experienced engineers. This may introduce human influenced bia
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Baingo, 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.

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Corrosion of reinforcing bars is the major cause of deterioration of reinforced concrete (RC) structures in North America, Europe, the Middle East, and many coastal regions around the world. This deterioration leads to a loss of serviceability and functionality and ultimately affects the structural safety. The objective of this research is to formulate and implement a general stochastic finite element analysis (SFEA) framework for the time-dependent reliability analysis of RC beams with corroding flexural reinforcement. The framework is based on the integration of nonlinear finite element and
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Yang, 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.

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Zhu, 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.

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Les travaux présentés contribuent à la modélisation stochastique de la maintenance de systèmes mono- ou multi-composants à détériorations et à modes de défaillances multiples en environnement dynamique. Dans ce cadre, les contributions portent d'une part sur la modélisation des processus de défaillance, et d'autre part sur la proposition de structures de décision de maintenance intégrant les différents types d'information de surveillance en ligne disponible sur le système (état de détérioration mesuré ou reconstruit, état de l'environnement, ...) et le développement des modèles mathématiques d
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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.

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Cette thèse explore l’utilisation des réseaux Bayésiens (RB) afin de répondre à des problématiques de dégradation en grandes dimensions concernant des infrastructures du génie civil. Alors que les approches traditionnelles basées l’évolution physique déterministe de détérioration sont déficientes pour des problèmes à grande échelle, les gestionnaires d’ouvrages ont développé une connaissance de modèles nécessitant la gestion de l’incertain. L’utilisation de la dépendance probabiliste se révèle être une approche adéquate dans ce contexte tandis que la possibilité de modéliser l’incertain est un
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Langeron, Yves. "Modélisation stochastique pour la sûreté de fonctionnement des systèmes commandés." Thesis, Troyes, 2015. http://www.theses.fr/2015TROY0001/document.

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Dans le contexte des systèmes commandés, l’effort de recherche est principalement porté sur la reconfiguration d’une loi de commande à l’apparition d’une situation de défaut. La reconfiguration a pour objectif de pallier au défaut et donc de maintenir les performances du système. La problématique principale de nos travaux est d’étudier ces systèmes du point de vue de leur sûreté de fonctionnement en s’interrogeant sur les causes qui engendrent une situation de défaut. Pour cela, il est supposé l’existence d’une relation étroite entre la commande d’un système, sa dégradation et ses défauts. Un
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Book chapters on the topic "Stochastic deterioration"

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Tran, H., and S. Setunge. "Deterioration Modeling of Concrete Bridges and Potential Nanotechnology Application." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3330-3_41.

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AbstractManagement of aging concrete bridges with limited resources can be a challenge for state authorities. Deterioration modeling of concrete bridges at the component level is essential to optimize maintenance actions and ensure the safety and serviceability of the bridge network. In this study we examined the Level 2 visual inspection data of a concrete bridge’s components collected over 4–5 inspection cycles with the objective of predicting deterioration of components and the bridge’s life cycle. With the increasing application of nanotechnology to increase the mechanical properties and d
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Jia, Gaofeng, and Paolo Gardoni. "Stochastic life-cycle analysis and performance optimization of deteriorating engineering systems using state-dependent deterioration stochastic models." In Routledge Handbook of Sustainable and Resilient Infrastructure. Routledge, 2018. http://dx.doi.org/10.4324/9781315142074-30.

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Jha, Manoj K. "Optimal Highway Infrastructure Maintenance Scheduling Considering Deterministic and Stochastic Aspects of Deterioration." In Sustainable and Resilient Critical Infrastructure Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11405-2_9.

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Savage, Gordon J., and Young Kap Son. "Efficient Use of Meta-Models for Reliability-Based Design Optimization of Systems Under Stochastic Excitations and Stochastic Deterioration." In Handbook of Advanced Performability Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55732-4_17.

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Priyanka and Sarla Pareek. "Stochastic Deterioration Inventory Model Having Two-Level of Credit Financing for Stochastic Demand with Finite Production Rate Under Carbon Emission." In Inventory Optimization. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-2359-1_7.

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Fujimoto, Y., M. Mizutani, S. Swilem, and M. Asaka. "Inspection Strategy for Deteriorating Structures Based on Cost Minimization Approach." In Computational Stochastic Mechanics. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3692-1_36.

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Kawai, Hajime, Junji Koyanagi, and Masamitsu Ohnishi. "Optimal Maintenance Problems for Markovian Deteriorating Systems." In Stochastic Models in Reliability and Maintenance. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-540-24808-8_8.

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Lee, Chiang-Sheng, Chien-Hung Cho, Cheng-Thai Tsai, and Hsine-Jen Tsai. "Considering a Deteriorating EOQ Model Under Stochastic Demand and Shortage Allowed." In Lecture Notes in Production Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18641-7_23.

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Filina-Dawidowicz, Ludmila, and Mykhaylo Postan. "Models of Stochastic Optimization for Deteriorating Cargo Inventory Control at Port’s Terminal." In Dynamics in Logistics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74225-0_6.

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Zhu, Yukui, Xiang Cao, Jian Dong, and Mengke Fu. "Optimization of Condition-Based Maintenance Strategy for Stochastic and Continuous Deteriorating Systems." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7423-5_98.

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Conference papers on the topic "Stochastic deterioration"

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Zhang, Hao, Chizhi Chris Zhang, Jian Jiang, Xinan Chen, Jing Dong, and Dongfang Liang. "Proactive maintenance strategy for submarine pipelines based on stochastic modelling of deterioration due to corrosion." In 2024 6th International Conference on System Reliability and Safety Engineering (SRSE). IEEE, 2024. https://doi.org/10.1109/srse63568.2024.10772523.

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Sahle, Mearg Ngusse, Asnake Adraro Angelo, Felix Obunguta, Kotaro Sasai, and Kiyoyuki Kaito. "Risk-based Culvert Network Repair Prioritization Scheme." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0576.

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&lt;p&gt;This research presents a probabilistic approach to prioritize reinforced concrete culverts for a network-level repair scheme based on their rates of deterioration. The deterioration rates were estimated using the stochastic mixed Markov hazard model. Extent of structural weakness or hydraulic inadequacy was examined using sedimentation, erosion, flooding, and culvert material degradation regulating variables. These comprise of flood discharge, barrel length, slope, and the truck traffic loading. The culverts were prioritized for restoration works by reclassifying their relative extent
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Li, Mengcao, Lei Feng, Zhengxin Zhang, Jianxun Zhang, and Xiaosheng Si. "A New Prognosis Model for Nonlinear Stochastic Deteriorating Devices with Multiple Degrading Modes." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11064976.

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Castro, Inma T., and Lucía Bautista. "Multiple Deterioration Processes with Stochastic Arrival Intensity." In Proceedings of the 31st European Safety and Reliability Conference. Research Publishing Services, 2021. http://dx.doi.org/10.3850/978-981-18-2016-8_707-cd.

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Aboura, Khalid, Bijan Samali, Keith Crews, and Jianchun Li. "Stochastic Deterioration Processes for Bridge Lifetime Assessment." In 2008 Third International Conference on Broadband Communications, Information Technology & Biomedical Applications. IEEE, 2008. http://dx.doi.org/10.1109/broadcom.2008.6.

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Xiang, Yisha, and C. Casady. "Time to Failure Behavior under a Stochastic Deterioration Model." In 2007 Proceedings Annual Reliability and Maintainability Sympsoium. IEEE, 2007. http://dx.doi.org/10.1109/rams.2007.328108.

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Mehrabani, Mehrdad Bahari, and Hua-Peng Chen. "PERFORMANCE PREDICTIONS OF COASTAL DEFENCES USING STOCHASTIC DETERIORATION MODELLING." In 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering. 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.

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Ahmed, Reem, Ahmed Assad, Eslam Mohammed Abdelkader, Tarek Zayed, and Fuzhan Nasiri. "Stochastic-based Deterioration Modeling of Elevators in Healthcare Facilities." In 2020 International Conference on Decision Aid Sciences and Application (DASA). IEEE, 2020. http://dx.doi.org/10.1109/dasa51403.2020.9317250.

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Srikanth, Ishwarya, and M. Arockiasamy. "Stochastic Time-Dependent Deterioration Models for Estimating Residual Service Life of Offshore Jacket-Type Platforms." In 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.

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Abstract This paper presents deterioration models for maintenance planning of offshore jacket platform based on two methods: i) stochastic Markov-chain based model and ii) stochastic-mechanistic deterioration models based on steel corrosion rates. Markov-chain models require the estimation of transition probability matrix (TPM), which is typically derived from the inspection data. The global structural health condition of the jacket is computed based on the condition of individual elements and their criticality in terms of failure consequence. The criticality factors are established based on n
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Hachem, Hassan, Hai Canh Vu, and Mitra Fouladirad. "Remaining Useful Lifetime Prediction and Noisy Stochastic Deterioration Process Considering Sensor Degradation." In Proceedings of the 31st European Safety and Reliability Conference. Research Publishing Services, 2021. http://dx.doi.org/10.3850/978-981-18-2016-8_209-cd.

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Reports on the topic "Stochastic deterioration"

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Méndez-Vizcaíno, Juan C., and Nicolás Moreno-Arias. A Global Shock with Idiosyncratic Pains: State-Dependent Debt Limits for LATAM during the COVID-19 pandemic. Banco de la República, 2021. http://dx.doi.org/10.32468/be.1175.

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Fiscal sustainability in five of the largest Latin American economies is examined before and after the COVID-19 pandemic. For this purpose, the DSGE model in Bi(2012) and Hürtgen (2020) is used to estimate the Fiscal Limits and Fiscal Spaces for Peru, Chile, Mexico, Colombia, and Brazil. These estimates advance the empirical literature for Latin America on fiscal sustainability by offering new calculations stemming from a structural framework with alluring novel features: government default on the intensive margin; dynamic Laffer curves; utility-based stochastic discount factor; and a Markov-S
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