Academic literature on the topic 'Physical-statistical model of reliability'
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Journal articles on the topic "Physical-statistical model of reliability"
Rajeevan, A. K., P. V. Shouri, and Usha Nair. "A Reliability Based Model for Wind Turbine Selection." International Journal of Renewable Energy Development 2, no. 2 (June 17, 2013): 69–74. http://dx.doi.org/10.14710/ijred.2.2.69-74.
Full textSi, Wujun, Qingyu Yang, and Xin Wu. "A physical–statistical model of overload retardation for crack propagation and application in reliability estimation." IIE Transactions 48, no. 4 (September 22, 2015): 347–58. http://dx.doi.org/10.1080/0740817x.2015.1078525.
Full textKim, Youngjoo, Okjoo Choi, Moonzoo Kim, Jongmoon Baik, and Tai-Hyo Kim. "Validating Software Reliability Early through Statistical Model Checking." IEEE Software 30, no. 3 (May 2013): 35–41. http://dx.doi.org/10.1109/ms.2013.24.
Full textSaccomanno, F. F., S. A. Nassar, and J. H. Shortreed. "Reliability of Statistical Road Accident Injury Severity Models." Transportation Research Record: Journal of the Transportation Research Board 1542, no. 1 (January 1996): 14–23. http://dx.doi.org/10.1177/0361198196154200103.
Full textZambon, Ivan, Anja Vidović, and Alfred Strauss. "Reliability of Existing Concrete Structures Determined with Physical Models - Carbonation Induced Corrosion." Solid State Phenomena 259 (May 2017): 255–60. http://dx.doi.org/10.4028/www.scientific.net/ssp.259.255.
Full textVanDerHorn, Eric, and Sankaran Mahadevan. "Bayesian model updating with summarized statistical and reliability data." Reliability Engineering & System Safety 172 (April 2018): 12–24. http://dx.doi.org/10.1016/j.ress.2017.11.023.
Full textDing, Jie, and Asen Asenov. "Reliability-Aware Statistical BSIM Compact Model Parameter Generation Methodology." IEEE Transactions on Electron Devices 67, no. 11 (November 2020): 4777–83. http://dx.doi.org/10.1109/ted.2020.3026614.
Full textChen, Chunhong, and Yanjie Mao. "A Statistical Reliability Model for Single-Electron Threshold Logic." IEEE Transactions on Electron Devices 55, no. 6 (June 2008): 1547–53. http://dx.doi.org/10.1109/ted.2008.922856.
Full textAgustin, Marcus A. "Statistical properties of a system reliability estimator using the Littlewood software reliability model." Journal of Applied Probability 40, no. 03 (September 2003): 766–78. http://dx.doi.org/10.1017/s0021900200019690.
Full textAgustin, Marcus A. "Statistical properties of a system reliability estimator using the Littlewood software reliability model." Journal of Applied Probability 40, no. 3 (September 2003): 766–78. http://dx.doi.org/10.1239/jap/1059060901.
Full textDissertations / Theses on the topic "Physical-statistical model of reliability"
Kim, Seong W. "Bayesian model selection using intrinsic priors for commonly used models in reliability and survival analysis /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841159.
Full textBrownstein, Naomi. "Estimation and the Stress-Strength Model." Honors in the Major Thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1160.
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Bakouros, Y. L. "Offshore pipeline reliability prediction : An assessment of the breakdown characteristics of offshore pipelines and the development of a statistical technique to improve their reliability prediction with particular reference." Thesis, University of Bradford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233657.
Full textMoberg, Pontus, and Filip Svensson. "Cost Optimisation through Statistical Quality Control : A case study on the plastic industry." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21922.
Full textMatthews, Robert. "The Reliability and Validity of a Simulated Airway Model that Quantifies Physical Forces Exerted During Endotracheal Intubation in a Clinically Demanding Scenario." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/2466.
Full text林達明 and Daming Lin. "Reliability growth models and reliability acceptance sampling plans from a Bayesian viewpoint." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B3123429X.
Full textCarstens, Wiehahn Alwyn. "Regression analysis of caterpillar 793D haul truck engine failure data and through-life diagnostic information using the proportional hazards model." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20333.
Full textENGLISH ABSTRACT: Physical Asset Management (PAM) is becoming a greater concern for companies in industry today. The widely accepted British Standards Institutes’ specification for optimized management of physical assets and infrastructure is PAS55. According to PAS55, PAM is the “systematic and co-ordinated activities and practices through which an organization optimally manages its physical assets, and their associated performance, risks and expenditures over their life cycle for the purpose of achieving its organizational strategic plan”. One key performance area of PAM is Asset Care Plans (ACP). These plans are maintenance strategies which improve or ensure acceptable asset reliability and performance during its useful life. Maintenance strategies such as Condition Based Maintenance (CBM) acts upon Condition Monitoring (CM) data, disregarding the previous failure histories of an asset. Other maintenance strategies, such as Usage Based Maintenance (UBM), is based on previous failure histories, and does not consider CM data. Regression models make use of both CM data and previous failure histories to develop a model which represents the underlying failure behaviour of the asset under study. These models can be of high value in ACP development due to the fact that Residual Useful Life (RUL) can be estimated and/or the long term life cycle cost can be optimized. The objective of this thesis was to model historical failure data and CM data well enough so that RUL or optimized preventive maintenance instant estimations can be made. These estimates were used in decision models to develop maintenance schedules, i.e. ACPs. Several regression models were evaluated to determine the most suitable model to achieve the objectives of this thesis. The model found to be most suitable for this research project was the Proportional Hazards Model (PHM). A comprehensive investigation on the PHM was undertaken focussing on the mathematics and the practical implementation thereof. Data obtained from the South African mining industry was modelled with the Weibull PHM. It was found that the developed model produced estimates which were accurate representations of reality. These findings provide an exciting basis for the development of futureWeibull PHMs that could result in huge maintenance cost savings and reduced failure occurrences.
AFRIKAANSE OPSOMMING: Fisiese Bate Bestuur (FBB) is besig om ’n groter bekommernis vir maatskappye in die bedryf te word. Die Britse Standaarde Instituut se spesifikasie vir optimale bestuur van fisiese bates en infrastruktuur is PAS55. Volgens PAS55 is FBB die “sistematiese en gekoördineerde aktiwiteite en praktyke wat deur ’n organisasie optimaal sy fisiese bates, hul verwante prestasie, risiko’s en uitgawes vir die doel van die bereiking van sy organisatoriese strategiese plan beheer oor hul volle lewensiklus te bestuur”. Een Sleutel Fokus Area (SFA) van FBB is Bate Versorgings Plan (BVP) ontwikkeling. Hierdie is onderhouds strategieë wat bate betroubaarheid verbeter of verseker tydens die volle bruikbare lewe van die bate. Een onderhoud strategie is Toestands Gebasseeerde Onderhoud (TGO) wat besluite baseer op Toestand Monitering (TM) informasie maar neem nie die vorige falingsgeskiedenis van die bate in ag nie. Ander onderhoud strategieë soos Gebruik Gebasseerde Onderhoud (GGO) is gebaseer op historiese falingsdata maar neem nie TM inligting in ag nie. Regressiemodelle neem beide TM data en historiese falings geskiedenis data in ag ten einde die onderliggende falings gedrag van die gegewe bate te verteenwoordig. Hierdie modelle kan baie nuttig wees vir BVP ontwikkeling te danke aan die feit dat Bruikbare Oorblywende Lewe (BOL) geskat kan word en/of die langtermyn lewenssilus koste geoptimeer kan word. Die doelwit van hierdie tesis was om historiese falingsdata en TT data goed genoeg te modelleer sodat BOL of optimale langtermyn lewensiklus kostes bepaal kan word om opgeneem te word in BVP ontwikkeling. Hierdie bepalings word dan gebruik in besluitnemings modelle wat gebruik kan word om onderhoud skedules op te stel, d.w.s. om ’n BVP te ontwikkel. Verskeie regressiemodelle was geëvalueer om die regte model te vind waarmee die doel van hierdie tesis te bereik kan word. Die mees geskikte model vir die navorsingsprojek was die Proporsionele Gevaarkoers Model (PGM). ’n Omvattende ondersoek oor die PGM is onderneem wat fokus op die wiskunde en die praktiese implementering daarvan. Data is van die Suid-Afrikaanse mynbedryf verkry en is gemodelleer met behulp van die Weibull PGM. Dit was bevind dat die ontwikkelde model resultate geproduseer het wat ’n akkurate verteenwoordinging van realiteit is. Hierdie bevindinge bied ’n opwindende basis vir die ontwikkeling van toekomstige Weibull Proporsionele Gevaarkoers Modelle wat kan lei tot groot onderhoudskoste besparings en minder onverwagte falings.
Lin, Daming. "Reliability growth models and reliability acceptance sampling plans from a Bayesian viewpoint /." Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13999618.
Full textFreeman, Laura J. "Statistical Methods for Reliability Data from Designed Experiments." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/37729.
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Jiang, Siyuan. "Mixed Weibull distributions in reliability engineering: Statistical models for the lifetime of units with multiple modes of failure." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185481.
Full textBooks on the topic "Physical-statistical model of reliability"
Pudney, Stephen. The statistical reliability of micro-simulation estimates: Results for a UK tax-benefit model. Cambridge: University of Cambridge, Department of Applied Economics, 1992.
Find full textPortinale, Luigi. Modeling and analysis of dependable systems: A probabilistic graphical model perspective. New Jersey: World Scientific, 2015.
Find full textKotz, Samuel. The stress-strength model and its generalizations: Theory and applications. Singapore: World Scientific, 2003.
Find full textKotz, Samuel. The stress-strength model and its generalizations: Theory and applications. Singapore: World Scientific, 2003.
Find full textKotz, Samuel. The stress-strength model and its generalizations: Theory and applications. River Edge, NJ: World Scientific, 2003.
Find full textReliability: Probabilistic models and statistical methods. Englewood Cliffs, N.J: Prentice Hall, 1995.
Find full textSystem Reliability Theory: Models, Statistical Methods, and Applications: Models, statistical methods, and applications. 2nd ed. Hoboken, NJ: Wiley-Interscience, 2004.
Find full textMarcus Cornelus Jacobus van Pul. Statistical analysis of software reliability models. Amsterdam: Centrum voor Wiskunde en Informatica, 1993.
Find full textPul, Marcus Cornelus Jacobus van. Statistical analysis of software reliability models. Amsterdam: Centrum voor Wiskunde en Informatica, 1993.
Find full textIonescu, D. C., and N. Limnios, eds. Statistical and Probabilistic Models in Reliability. Boston, MA: Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4612-1782-4.
Full textBook chapters on the topic "Physical-statistical model of reliability"
Paik, Jeom Kee. "Facilities for Physical Model Testing." In Topics in Safety, Risk, Reliability and Quality, 609–46. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8245-1_18.
Full textBagdonavičius, V., and M. S. Nikulin. "Model Building in Accelerated Experiments." In Statistical and Probabilistic Models in Reliability, 51–73. Boston, MA: Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4612-1782-4_4.
Full textHamon, Agnes, and Mounir Mesbah. "Questionnaire Reliability Under the Rasch Model." In Statistical Methods for Quality of Life Studies, 155–68. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3625-0_13.
Full textBarkhordari, Pegah, and Roberto Galeazzi. "Statistical Approach to Model Track Dynamics Towards the Monitoring of Railway Turnouts." In Springer Series in Reliability Engineering, 19–41. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62472-9_2.
Full textHong, Yili, and William Q. Meeker. "A Model for Field Failure Prediction Using Dynamic Environmental Data." In Mathematical and Statistical Models and Methods in Reliability, 223–33. Boston, MA: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4971-5_16.
Full textGuérin, Fabrice, Mihaela Barreau, Amel Demri, Sylvain Cloupet, Julien Hersant, and Ridha Hambli. "Bayesian Estimation of Degradation Model Defined by a Wiener Process." In Mathematical and Statistical Models and Methods in Reliability, 345–57. Boston, MA: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4971-5_27.
Full textBousseboua, Moussedek, and Mounir Mesbah. "Longitudinal Latent Markov Processes Observable Through an Invariant Rasch Model." In Mathematical and Statistical Models and Methods in Reliability, 87–100. Boston, MA: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4971-5_6.
Full textLemeshko, Boris Yu, Stanislav B. Lemeshko, Kseniya A. Akushkina, Mikhail S. Nikulin, and Noureddine Saaidia. "Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis." In Mathematical and Statistical Models and Methods in Reliability, 433–53. Boston, MA: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4971-5_33.
Full textLisnianski, Anatoly, Ilia Frenkel, Lev Khvatskin, and Yi Ding. "Multistate System Reliability Assessment by Using the Markov Reward Model." In Statistical Models and Methods for Biomedical and Technical Systems, 153–68. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4619-6_12.
Full textBogatyrev, V. A., S. M. Aleksankov, and A. N. Derkach. "The Model of Reliability of Dublated Real-Time Computers for Cyber-Physical Systems." In Cyber-Physical Systems: Industry 4.0 Challenges, 11–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32648-7_2.
Full textConference papers on the topic "Physical-statistical model of reliability"
Mei, S., N. Raghavan, M. Bosman, and K. L. Pey. "Statistical basis and physical evidence for clustering model in FinFET degradation." In 2017 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2017. http://dx.doi.org/10.1109/irps.2017.7936286.
Full textDumin, D. J., R. S. Scott, and R. Subramoniam. "A model relating wearout induced physical changes in thin oxides to the statistical description of breakdown." In Proceedings of IEEE International Reliability Physics Symposium. IEEE, 1993. http://dx.doi.org/10.1109/relphy.1993.283286.
Full textWirth, Gilson. "Large signal statistical compact model for LF noise." In 2013 IEEE International Integrated Reliability Workshop (IIRW). IEEE, 2013. http://dx.doi.org/10.1109/iirw.2013.6804176.
Full textLee, Jian-Hsing, Natarajan Mahadeva Iyer, and Timothy J. Maloney. "Physical Model for ESD Human Body Model to Transmission Line Pulse." In 2019 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2019. http://dx.doi.org/10.1109/irps.2019.8720576.
Full textChen, I. C., S. Holland, and C. Hut. "A quantitative physical model for time-dependent breakdown in SiO2." In 23rd International Reliability Physics Symposium. IEEE, 1985. http://dx.doi.org/10.1109/irps.1985.362070.
Full textRuijters, Enno, Dennis Guck, Peter Drolenga, and Marielle Stoelinga. "Fault maintenance trees: Reliability centered maintenance via statistical model checking." In 2016 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2016. http://dx.doi.org/10.1109/rams.2016.7447986.
Full textKufluoglu, Haldun, C. Cirba, M. Chu, M. Chen, S. Datla, and V. Reddy. "A physical and scalable aging model for digital library characterization." In 2014 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2014. http://dx.doi.org/10.1109/irps.2014.6861124.
Full textAbdelhamid, Mohamed, Ayman Atallah, Marwan Ammar, and Otmane Ait Mohamed. "Reliability Analysis Of Autonomous UAV Communication Using Statistical Model Checking." In 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2021. http://dx.doi.org/10.1109/mwscas47672.2021.9531675.
Full textOnno, St. "A Federated Physical and Logical Access Control Enforcement Model." In 2008 Third International Conference on Availability, Reliability and Security. IEEE, 2008. http://dx.doi.org/10.1109/ares.2008.92.
Full textRzepa, G., J. Franco, A. Subirats, M. Jech, A. Chasin, A. Grill, M. Waltl, et al. "Efficient physical defect model applied to PBTI in high-κ stacks." In 2017 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2017. http://dx.doi.org/10.1109/irps.2017.7936425.
Full textReports on the topic "Physical-statistical model of reliability"
Kim, Joseph J., Samuel Dominguez, and Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1931.
Full textSorensen, N. R., J. W. Braithwaite, S. J. Lucero, J. R. Michael, J. N. Sweet, D. W. Peterson, D. G. Robinson, K. L. Erickson, and C. C. Battaile. Physical Models for Predicting the Effect of Atmospheric Corrosion on Microelectronic Reliability. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/773871.
Full textVerrill, Steve P., Frank C. Owens, David E. Kretschmann, and Rubin Shmulsky. Statistical models for the distribution of modulus of elasticity and modulus of rupture in lumber with implications for reliability calculations. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2017. http://dx.doi.org/10.2737/fpl-rp-692.
Full textKodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1802.
Full textKramer, Robert. LED Street Lighting Implementation Research, Support, and Testing. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317274.
Full textModlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.
Full textWeller, Joel I., Derek M. Bickhart, Micha Ron, Eyal Seroussi, George Liu, and George R. Wiggans. Determination of actual polymorphisms responsible for economic trait variation in dairy cattle. United States Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7600017.bard.
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