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Готові списки джерел за темами / Degradation modes

Добірка наукової літератури з теми "Degradation modes"

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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Статті в журналах з теми "Degradation modes"

1

Jordan, Dirk C., Timothy J. Silverman, John H. Wohlgemuth, Sarah R. Kurtz, and Kaitlyn T. VanSant. "Photovoltaic failure and degradation modes." Progress in Photovoltaics: Research and Applications 25, no. 4 (January 30, 2017): 318–26. http://dx.doi.org/10.1002/pip.2866.

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2

Haghighi, Firoozeh, and Mikhail Nikulin. "On the linear degradation model with multiple failure modes." Journal of Applied Statistics 37, no. 9 (September 2010): 1499–507. http://dx.doi.org/10.1080/02664760903055434.

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3

O'Kane, Simon E. J., Niall Kirkaldy, Gregory James Offer, and Monica Marinescu. "Lithium-Ion Battery Degradation: How to Diagnose It." ECS Meeting Abstracts MA2022-01, no. 2 (July 7, 2022): 396. http://dx.doi.org/10.1149/ma2022-012396mtgabs.

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Many different degradation mechanisms occur in lithium-ion batteries, all of which interact with one another [1]. However, there are few fewer observable consequences of degradation than there are mechanisms [2]. It is possible to measure the different degradation modes: loss of lithium inventory (LLI), loss of active material (LAM), impedance change and stoichiometric drift [3]. It is not always possible to link these observable consequences of degradation to any particular mechanism or combination of mechanisms. Many models of degradation exist [4], but these models have many parameters that cannot be measured directly. A recent modelling study [5] found the number of parameters that the model is sensitive to is greater than the number of observable degradation modes. However, the same model [5], despite including just four degradation mechanisms, found five possible degradation pathways a battery can follow. The model was built so that more mechanisms can easily be added later, so more pathways will be found. In this work, a new approach to diagnosing battery degradation is proposed, based on these pathways. Experimental data for the degradation modes can be identified as being consistent with a particular pathway. Once the correct pathway is found, the parameters that particular pathway is sensitive to can be fit to the data, feeding back into the model. [1] Jacqueline Edge et al., Phys. Chem.: Chem. Phys. vol. 23, pp. 8200-8221, 2021. [2] Christoph Birkl et al., Journal of Power Sources vol. 341, pp. 373-386, 2017. [3] Matthieu Dubarry et al., J. Electrochem. En. Conv. Stor. vol. 17, pp. 044701, 2020. [4] Jorn Reniers et al., J. Electrochem. Soc. vol. 166 pp. A3189-A3200, 2019. [5] Simon O’Kane et al., Phys. Chem.: Chem. Phys., submitted, 2022. https://arxiv.org/abs/2112.02037

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4

Dubarry, Matthieu, Cyril Truchot, and Bor Yann Liaw. "Synthesize battery degradation modes via a diagnostic and prognostic model." Journal of Power Sources 219 (December 2012): 204–16. http://dx.doi.org/10.1016/j.jpowsour.2012.07.016.

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5

Jao, Ting-Chu, Guo-Bin Jung, Shih-Tsung Ke, Pei-Hung Chi, and Shih-Hung Chan. "Diagnosis of PTFE-Nafion MEA degradation modes by an accelerated degradation technique." International Journal of Energy Research 35, no. 14 (December 13, 2010): 1274–83. http://dx.doi.org/10.1002/er.1797.

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6

Zhao, Chengwei, Sunia Tanweer, Jian Li, Min Lin, Xiang Zhang, and Yang Liu. "Nonlinear Guided Wave Tomography for Detection and Evaluation of Early-Life Material Degradation in Plates." Sensors 21, no. 16 (August 16, 2021): 5498. http://dx.doi.org/10.3390/s21165498.

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In this paper, the possibility of using nonlinear ultrasonic guided waves for early-life material degradation in metal plates is investigated through both computational modeling and study. The analysis of the second harmonics of Lamb waves in a free boundary aluminum plate, and the internal resonance conditions between the Lamb wave primary modes and the second harmonics are investigated. Subsequently, Murnaghan’s hyperelastic model is implemented in a finite element (FE) analysis to study the response of aluminum plates subjected to a 60 kHz Hanning-windowed tone burst. Different stages of material degradation are reflected as the changes in the third order elastic constants (TOECs) of the Murnaghan’s model. The reconstructed degradations match the actual ones well across various degrees of degradation. The effects of several relevant factors on the accuracy of reconstructions are also discussed.

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7

Tuttle, D. L., and W. A. Dunn. "Divergent modes of autophagy in the methylotrophic yeast Pichia pastoris." Journal of Cell Science 108, no. 1 (January 1, 1995): 25–35. http://dx.doi.org/10.1242/jcs.108.1.25.

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The budding yeast Pichia pastoris responds to methanolic media by synthesizing high levels of cytosolic enzymes (e.g. formate dehydrogenase) and peroxisomal enzymes (e.g. alcohol oxidase), which are necessary to assimilate this carbon source. Major alterations in cellular metabolism are initiated upon a shift in carbon source to ethanol or glucose. These alterations require the synthesis of new proteins and the rapid degradation of those enzymes no longer needed for methanol utilization. In this study, we have measured cytosolic and peroxisomal enzyme activities and examined the fate of morphologically distinct peroxisomes to assess the degradative response of this yeast during nutrient adaptation. Utilizing biochemical, morphological and genetic approaches, we have shown that there exist in P. pastoris at least two pathways for the sequestration of peroxisomes into the vacuole for degradation. The ethanol-induced pathway is independent of protein synthesis and includes an intermediate stage in which individual peroxisomes are sequestered into autophagosomes by wrapping membranes, which then fuse with the vacuole. This process is analogous to macroautophagy. The glucose-induced pathway invokes the engulfment of clusters of peroxisomes by finger-like protrusions of the vacuole by a process analogous to microautophagy. Unlike ethanol adaptation, glucose stimulated the degradation of formate dehydrogenase as well. Peroxisomes remained outside the vacuoles of glucose-adapted cycloheximide-treated normal cells, suggesting that protein synthesis is required for peroxisome entry into the yeast vacuole. Two complementary mutants (gsa1 and gsa2) that are unable to degrade peroxisomes or formate dehydrogenase during glucose adaptation were isolated. The mutated gene products appear to function in one or more events upstream of degradation within the vacuole, since ethanol-induced peroxisome degradation proceeded normally in these mutants and peroxisomes were found outside the vacuoles of glucose-adapted gsa2 cells. Mutants lacking vacuolar proteinases A and B were unable to degrade alcohol oxidase or formate dehydrogenase during ethanol or glucose adaptation. Peroxisomes were found to accumulate within the vacuoles of these proteinase mutants during adaptation. Combined, the results suggest that there exist in Pichia pastoris two independent pathways for the sequestration of peroxisomes into the vacuole, the site of degradation.

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8

Huang, Jack Jia-Sheng, C. K. Wang, and Yu-Heng Jan. "Three Cases of Gradual Degradation Mode Analysis of Semiconductor Laser Diodes." Modern Applied Science 15, no. 6 (October 26, 2021): 27. http://dx.doi.org/10.5539/mas.v15n6p27.

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Semiconductor laser diodes are important components for various applications such as 5G wireless, datacenter, passive optical network, and aerospace applications. High reliability has emerged to be the universal requirement for all optical applications. To achieve high reliability, fundamental understanding of the laser degradation behavior is crucial. In this paper, we study three cases of gradual degradataion modes of laser diodes including (1) Pattern-A that is associated with threshold current change only, (2) Pattern-B that involve both threshold current and power changes, and (3) Pattern-C that is associated with merely power change. We have instituted reliability equations for the degradation processes. The new reliability models could provide estimation on the laser end-of-life based on the degradation rate and device performance specification.

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9

Zhao, Xiujie, Jianyu Xu, and Bin Liu. "Accelerated Degradation Tests Planning With Competing Failure Modes." IEEE Transactions on Reliability 67, no. 1 (March 2018): 142–55. http://dx.doi.org/10.1109/tr.2017.2761025.

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10

Jiménez, Juan. "Laser diode reliability: crystal defects and degradation modes." Comptes Rendus Physique 4, no. 6 (July 2003): 663–73. http://dx.doi.org/10.1016/s1631-0705(03)00097-5.

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Дисертації з теми "Degradation modes"

1

Diangha, Maurice Nkinyam Boh. "Punching shear modes of failure in impacted reinforced concrete beams." Thesis, University of Sheffield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245559.

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2

Ivo, Ponky [Verfasser], and Günther [Akademischer Betreuer] Tränkle. "AlGaN/GaN HEMTs Reliability: Degradation Modes and Analysis / Ponky Ivo. Betreuer: Günther Tränkle." Berlin : Universitätsbibliothek der Technischen Universität Berlin, 2012. http://d-nb.info/1026768551/34.

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3

Luengo, Cristina. "Photo-oxidative degradation of mechanisms and modes of stabilisation in SEBS triblock copolymer." Thesis, Manchester Metropolitan University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407530.

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4

Trunova, Olena. "Effect of thermal and mechanical loadings on the degradation and failure modes of APS TBCs." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=982570570.

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5

Yousif, Kamil Mansoor. "Studies of degradation modes of molybdenum black coatings in relation to their use as solar selective absorbers." Thesis, Brunel University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333363.

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6

Kanungo, Tapas. "Document degradation models and a methodology for degradation model validation /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/5851.

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7

Lu, Jin 1959. "Degradation processes and related reliability models." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=39952.

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Reliability characteristics of new devices are usually demonstrated by life testing. When lifetime data are sparse, as is often the case with highly reliable devices, expensive devices, and devices for which accelerated life testing is not feasible, reliability models that are based on a combination of degradation and lifetime data represent an important practical approach. This thesis presents reliability models based on the combination of degradation and lifetime data or degradation data alone, with and without the presence of covariates. Statistical inference methods associated with the models are also developed.
The degradation process is assumed to follow a Wiener process. Failure is defined as the first passage of this process to a fixed barrier. The degradation data of a surviving item are described by a truncated Wiener process and lifetimes follow an inverse Gaussian distribution. Models are developed for three types of data structures that are often encountered in reliability studies, terminal point data (a combination of degradation and lifetime data) and mixed data (an extended case of terminal point data); conditional degradation data; and covariate data.
Maximum likelihood estimators (MLEs) are derived for the parameters of each model. Inferences about the parameters are based on asymptotic properties of the MLEs and on the likelihood ratio method. An analysis of deviance is presented and approximate pivotal quantities are derived for the drift and variance parameters. Predictive density functions for the lifetime and the future degradation level of either a surviving item or a new item are obtained using empirical Bayes methods. Case examples are given to illustrate the applications of the models.

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8

Zhang, Yu-Jiang. "An integrated rail track degradation model." Thesis, Queensland University of Technology, 2000. https://eprints.qut.edu.au/36110/7/36110_Digitised%20Thesis.pdf.

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There has been a worldwide trend to increase axle loads and train speeds. This means that railway track degradation will be accelerated, and track maintenance costs will be increased significantly. There is a need to investigate the consequences of increasing traffic load. The aim of the research is to develop a model for the analysis of physical degradation of railway tracks in response to changes in traffic parameters, especially increased axle loads and train speeds. This research has developed an integrated track degradation model (ITDM) by integrating several models into a comprehensive framework. Mechanistic relationships for track degradation hav~ ?een used wherever possible in each of the models contained in ITDM. This overcc:mes the deficiency of the traditional statistical track models which rely heavily on historical degradation data, which is generally not available in many railway systems. In addition statistical models lack the flexibility of incorporating future changes in traffic patterns or maintenance practices. The research starts with reviewing railway track related studies both in Australia and overseas to develop a comprehensive understanding of track performance under various traffic conditions. Existing railway related models are then examined for their suitability for track degradation analysis for Australian situations. The ITDM model is subsequently developed by modifying suitable existing models, and developing new models where necessary. The ITDM model contains four interrelated submodels for rails, sleepers, ballast and subgrade, and track modulus. The rail submodel is for rail wear analysis and is developed from a theoretical concept. The sleeper submodel is for timber sleepers damage prediction. The submodel is developed by modifying and extending an existing model developed elsewhere. The submodel has also incorporated an analysis for the likelihood of concrete sleeper cracking. The ballast and subgrade submodel is evolved from a concept developed in the USA. Substantial modifications and improvements have been made. The track modulus submodel is developed from a conceptual method. Corrections for more global track conditions have been made. The integration of these submodels into one comprehensive package has enabled the interaction between individual track components to be taken into account. This is done by calculating wheel load distribution with time and updating track conditions periodically in the process of track degradation simulation. A Windows-based computer program ~ssociated with ITDM has also been developed. The program enables the user to carry out analysis of degradation of individual track components and to investigate the inter relationships between these track components and their deterioration. The successful implementation of this research has provided essential information for prediction of increased maintenance as a consequence of railway trackdegradation. The model, having been presented at various conferences and seminars, has attracted wide interest. It is anticipated that the model will be put into practical use among Australian railways, enabling track maintenance planning to be optimized and potentially saving Australian railway systems millions of dollars in operating costs.

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9

Harris, David Wayne. "A degradation analysis methodology for maintenance tasks." Thesis, Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/24867.

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10

Bi, Wu. "PEM fuel cell catalyst degradation mechanism and mathematical modeling." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/29756.

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Thesis (Ph.D)--Chemical Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Fuller, Thomas; Committee Co-Chair: Deng, Yulin; Committee Member: Gallivan, Martha; Committee Member: Kohl, Paul; Committee Member: Singh, Preet. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Книги з теми "Degradation modes"

1

Yousif, Kamil Mansoor. Studies of degradation modes of molybdenum black coatings in relation to their use as solar selective absorbers. Uxbridge: Brunel University, 1992.

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2

Henke, Dion Stephen. Synthesis of model compounds related to products of cellulose degradation. Birmingham: University of Birmingham, 1996.

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3

Canada, Economic Council of. Degradation of environmental capital and national accounting procedures. [Ottawa]: Economic Council of Canada, 1990.

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4

Canada, Economic Council of. Degradation of environmental capital and national accounting procedures. [Ottawa]: Economic Council of Canada, 1990.

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5

Baechler, Günther. Violence through environmental discrimination: Causes, Rwanda arena, and conflict model. Dordrecht: Kluwer Academic Publishers, 1999.

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6

Jackson, William R. Environmental care & share: Working model constructs which suggest we can do better. Evergreen, Colo: Jackson Research Center, 1995.

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7

Copeland, Brian Richard. A simple model of trade, capital mobility, and the environment. Cambridge, MA: National Bureau of Economic Research, 1997.

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8

Slaby, Scott M. Degradation of perfluorinated ether lubricants on pure aluminum surfaces: Semiempirical quantum chemical modeling. Cleveland, OH: National Aeronautics and Space Administration, Lewis Research Center, 1997.

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9

Zeleke, Gete. Landscape dynamics and soil erosion process modelling in the North-western Ethiopian highlands. Berne, Switzerland: University of Berne, Institute of Geography, 2000.

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10

Passaglia, Elio. The characterization of microenvironments and the degradation of archival records: A research program. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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Частини книг з теми "Degradation modes"

1

Sharma, Shubham, Gautam Raina, Prashant Malik, Vikrant Sharma, and Sunanda Sinha. "Different Degradation Modes of PV Modules: An Overview." In Advances in Sustainability Science and Technology, 99–127. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5201-2_6.

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2

Valeur, Eric. "Chapter 14. Classes, Modes of Action and Selection of New Modalities in Drug Discovery." In Protein Degradation with New Chemical Modalities, 277–316. Cambridge: Royal Society of Chemistry, 2020. http://dx.doi.org/10.1039/9781839160691-00277.

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3

Moghaddass, Ramin, and Ming J. Zuo. "Multistate Degradation and Condition Monitoring for Devices with Multiple Independent Failure Modes." In Applied Reliability Engineering and Risk Analysis, 17–31. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118701881.ch2.

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4

Dale, Douglas, Todd Becker, Michael Reichman, and Sam Maurer. "Delivery and stabilization of enzymes in animal feed." In Enzymes in farm animal nutrition, 207–19. 3rd ed. Wallingford: CABI, 2022. http://dx.doi.org/10.1079/9781789241563.0012.

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Abstract This chapter discusses the market for pelleting-stable feed enzymes; application of enzymes in feed; feed production process and impact on enzyme activity; other sources of stress in animal feed production; protein stabilization through molecule selection and modifcation; preventing thermal degradation; preventing other failure modes through engineering; stability during formulation and processing; solid and liquid enzyme formulation and stability in diluted, premix and pelleted feeds.

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5

Mao, Youdong. "Structure, Dynamics and Function of the 26S Proteasome." In Subcellular Biochemistry, 1–151. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58971-4_1.

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AbstractThe 26S proteasome is the most complex ATP-dependent protease machinery, of ~2.5 MDa mass, ubiquitously found in all eukaryotes. It selectively degrades ubiquitin-conjugated proteins and plays fundamentally indispensable roles in regulating almost all major aspects of cellular activities. To serve as the sole terminal “processor” for myriad ubiquitylation pathways, the proteasome evolved exceptional adaptability in dynamically organizing a large network of proteins, including ubiquitin receptors, shuttle factors, deubiquitinases, AAA-ATPase unfoldases, and ubiquitin ligases, to enable substrate selectivity and processing efficiency and to achieve regulation precision of a vast diversity of substrates. The inner working of the 26S proteasome is among the most sophisticated, enigmatic mechanisms of enzyme machinery in eukaryotic cells. Recent breakthroughs in three-dimensional atomic-level visualization of the 26S proteasome dynamics during polyubiquitylated substrate degradation elucidated an extensively detailed picture of its functional mechanisms, owing to progressive methodological advances associated with cryogenic electron microscopy (cryo-EM). Multiple sites of ubiquitin binding in the proteasome revealed a canonical mode of ubiquitin-dependent substrate engagement. The proteasome conformation in the act of substrate deubiquitylation provided insights into how the deubiquitylating activity of RPN11 is enhanced in the holoenzyme and is coupled to substrate translocation. Intriguingly, three principal modes of coordinated ATP hydrolysis in the heterohexameric AAA-ATPase motor were discovered to regulate intermediate functional steps of the proteasome, including ubiquitin-substrate engagement, deubiquitylation, initiation of substrate translocation and processive substrate degradation. The atomic dissection of the innermost working of the 26S proteasome opens up a new era in our understanding of the ubiquitin-proteasome system and has far-reaching implications in health and disease.

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6

Gut, Allan, and Jürg Hüsler. "Shock Models." In Advances in Degradation Modeling, 59–76. Boston, MA: Birkhäuser Boston, 2009. http://dx.doi.org/10.1007/978-0-8176-4924-1_5.

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7

Balali, Farhad, Jessie Nouri, Adel Nasiri, and Tian Zhao. "Predictive Degradation Models." In Data Intensive Industrial Asset Management, 53–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35930-0_4.

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8

Akhavan-Safar, Alireza, Eduardo A. S. Marques, Ricardo J. C. Carbas, and Lucas F. M. da Silva. "Fatigue Degradation Models." In Cohesive Zone Modelling for Fatigue Life Analysis of Adhesive Joints, 43–66. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93142-1_3.

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9

Kahle, Waltraud, and Heide Wendt. "Parametric Shock Models." In Advances in Degradation Modeling, 77–104. Boston, MA: Birkhäuser Boston, 2009. http://dx.doi.org/10.1007/978-0-8176-4924-1_6.

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10

Raper, G. P., L. M. Guppy, R. M. Argent, and R. J. George. "Innovative Use of Water Balance Models in Farm and Catchment Planning in Western Australia." In Land Degradation, 319–31. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-2033-5_20.

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Тези доповідей конференцій з теми "Degradation modes"

1

Herrick, Robert W., Michael Y. Cheng, James M. Beck, Pierre M. Petroff, Jeff W. Scott, Matthew G. Peters, Gerald D. Robinson, Larry A. Coldren, Robert A. Morgan, and Mary K. Hibbs-Brenner. "Analysis of VCSEL degradation modes." In Photonics West '96, edited by Mahmoud Fallahi and S. C. Wang. SPIE, 1996. http://dx.doi.org/10.1117/12.237683.

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2

Guerin, C., V. Huard, and A. Bravaix. "The Energy-Driven Hot Carrier Degradation Modes." In 2007 IEEE International Reliability Physics Symposium Proceedings. 45th Annual. IEEE, 2007. http://dx.doi.org/10.1109/relphy.2007.369573.

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3

Ohbu, I., S. Todoroki, K. Hirashima, and K. Aiki. "Degradation Modes Of High Power GaAlAs Infrared Lasers." In O-E/Fibers '87, edited by Vincent J. Tekippe. SPIE, 1988. http://dx.doi.org/10.1117/12.942564.

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4

Kempe, M. D., K. M. Terwilliger, and D. Tarrant. "Stress induced degradation modes in CIGS mini-modules." In 2008 33rd IEEE Photovolatic Specialists Conference (PVSC). IEEE, 2008. http://dx.doi.org/10.1109/pvsc.2008.4922497.

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5

Janapaty, Vijay, Bharat L. Bhuva, N. Bui, and Sherra E. Kerns. "Coupling between hot-carrier degradation modes of pMOSFETs." In Microelectronic Manufacturing, edited by Ali Keshavarzi, Sharad Prasad, and Hans-Dieter Hartmann. SPIE, 1997. http://dx.doi.org/10.1117/12.284695.

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6

Gatt, Rafi, Gunnar A. Niklasson, and Claes-Goeran Granqvist. "Degradation modes of cermet-based selectively solar absorbing coatings." In Optical Materials Technology for Energy Efficiency and Solar Energy, edited by Anne Hugot-Le Goff, Claes-Goeran Granqvist, and Carl M. Lampert. SPIE, 1992. http://dx.doi.org/10.1117/12.130495.

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7

Iyengar, N., S. W. Case, H. G. Halverson, and W. A. Curtin. "Time-Dependent Degradation in Fiber Composites due to Multiple Constituent Degradation Mechanisms." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0362.

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Анотація:

Abstract The failure of fiber reinforced composites at elevated temperatures can occur due to time-dependent degradation mechanisms of the constituent fibers, matrix, and/or interface. Here, analytic models are presented for predicting deformation and lifetime due to two important mechanisms of degradation when acting simultaneously. The mechanisms are matrix/interface creep and fiber degradation by slow crack growth within the fibers. Both mechanisms are non-linearly dependent on the state of stress in the material and so, when acting simultaneously over comparable time-scales, the damage rate is strongly accelerated due to the non-linear coupling of the mechanisms. The resulting composite lifetime can me much smaller than the life under conditions when only a single degradation mechanism is acting, even when the time scales of the two mechanisms differ by large amounts. For example, if when acting alone fiber degradation causes failure in time tf and creep causes failure in a time 100tf, when acting together the failure time can be 0.1tf or smaller at stresses on the order of 1/2 the ultimate fast-fracture strength. The remaining strength under single and combined degradation modes is also studied within these analytic models. Then, several “kinetic” laws for predicting the remaining strength versus time due to multiple degradation mechanisms, including the MRLife approach, are studied. Specifically, the individual remaining strengths for each degradation mode as found from the micro-mechanical models are used as input into the kinetic laws, and the predicted lifetimes are then compared to those from the micro-mechanical models to assess the accuracy of the kinetic laws.

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8

Al Hasan, Naila M., Rachael Arnold, David C. Miller, Jimmy Newkirk, Emily Rago, Michael Thuis, Bruce H. King, et al. "Arrhenius Analysis of the Degradation Modes in Emerging Photovoltaic Backsheets." In 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC). IEEE, 2022. http://dx.doi.org/10.1109/pvsc48317.2022.9938840.

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9

Denz, Janine, Marius I. Peters, Jens Hauch, and Claudia Buerhop-Lutz. "Case study on the dependency of the degradation rate on degradation modes and methodology using monitoring data." In SiliconPV 2021, The 11th International Conference on Crystalline Silicon Photovoltaics. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0102549.

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10

Umachandran, Neelesh, Joseph Kuitche, and GovindaSamy TamizhMani. "Statistical methods to determine dominant degradation modes of fielded PV modules." In 2015 IEEE 42nd Photovoltaic Specialists Conference (PVSC). IEEE, 2015. http://dx.doi.org/10.1109/pvsc.2015.7355699.

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Звіти організацій з теми "Degradation modes"

1

Gdowski, G. E. Survey of degradation modes of four nickel-chromium-molybdenum alloys. Office of Scientific and Technical Information (OSTI), March 1991. http://dx.doi.org/10.2172/138275.

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2

F. Hua, G.M. Gordon, and R.B. Rebak. DEGRADATION MODES OF ALLOY 22 IN YUCCA MOUNTAIN REPOSITORY CONDITIONS. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/860241.

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3

Lampert, C. Failure and degradation modes in selected solar materials: A review. Office of Scientific and Technical Information (OSTI), May 1989. http://dx.doi.org/10.2172/6977475.

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4

G.M. Gordon. Update on Waste Package Materials Selection, Heat Treatment and Degradation Modes. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/893376.

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5

Bernabei, S., Z. Chang, and D. Darrow. Correlation between excitation of Alfven modes and degradation of ICRF heating efficiency in TFTR. Office of Scientific and Technical Information (OSTI), May 1997. http://dx.doi.org/10.2172/304148.

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6

Strum, M. J., H. Weiss, J. C. Farmer, and D. B. Bullen. Survey of degradation modes of candidate materials for high-level radioactive-waste disposal containers. Office of Scientific and Technical Information (OSTI), June 1988. http://dx.doi.org/10.2172/7171401.

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7

Farmer, J. C., R. A. Van Konynenburg, R. D. McCright, and D. B. Bullen. Survey of degradation modes of candidate materials for high-level radioactive-waste disposal containers. Office of Scientific and Technical Information (OSTI), April 1988. http://dx.doi.org/10.2172/7025042.

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8

Gdowski, G. E., and D. B. Bullen. Survey of degradation modes of candidate materials for high-level radioactive-waste disposal containers. Office of Scientific and Technical Information (OSTI), August 1988. http://dx.doi.org/10.2172/7025059.

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9

Bullen, D. B., and G. E. Gdowski. Survey of degradation modes of candidate materials for high-level radioactive-waste disposal containers. Office of Scientific and Technical Information (OSTI), August 1988. http://dx.doi.org/10.2172/7025064.

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10

Gdowski, G. E., and D. B. Bullen. Survey of degradation modes of candidate materials for high-level radioactive-waste disposal containers. Office of Scientific and Technical Information (OSTI), August 1988. http://dx.doi.org/10.2172/7079478.

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