Literatura académica sobre el tema "Diagnostics and prognostics"
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Artículos de revistas sobre el tema "Diagnostics and prognostics"
Thongboonkerd, Visith. "Clinical proteomics: towards diagnostics and prognostics". Blood 109, n.º 12 (15 de junio de 2007): 5075–76. http://dx.doi.org/10.1182/blood-2007-03-081992.
Texto completoCoticchia, Christine M., Jiang Yang y Marsha A. Moses. "Ovarian Cancer Biomarkers: Current Options and Future Promise". Journal of the National Comprehensive Cancer Network 6, n.º 8 (septiembre de 2008): 795–802. http://dx.doi.org/10.6004/jnccn.2008.0059.
Texto completoAbbasi, Amirhassan, Foad Nazari y C. Nataraj. "On Modeling of Vibration and Crack Growth in a Rotor for Prognostics". Annual Conference of the PHM Society 12, n.º 1 (3 de noviembre de 2020): 9. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1193.
Texto completoPetronic, Ivana, Milena Markovic, Dragana Cirovic, Dragana Dzamic, Ana Marsavelski y Gordana Nikolic. "Paralysis plexus brachialis - diagnostics and prognostics protocol". Srpski arhiv za celokupno lekarstvo 132, suppl. 1 (2004): 58–61. http://dx.doi.org/10.2298/sarh04s1058p.
Texto completoReuben, Lim Chi Keong y David Mba. "Diagnostics and prognostics using switching Kalman filters". Structural Health Monitoring: An International Journal 13, n.º 3 (24 de febrero de 2014): 296–306. http://dx.doi.org/10.1177/1475921714522844.
Texto completoNg, Kam W. "Integrated Diagnostics and Prognostics of Rotating Machinery". International Journal of Rotating Machinery 5, n.º 1 (1999): 35–40. http://dx.doi.org/10.1155/s1023621x99000032.
Texto completoKirwan, Alan, Marta Utratna, Michael E. O’Dwyer, Lokesh Joshi y Michelle Kilcoyne. "Glycosylation-Based Serum Biomarkers for Cancer Diagnostics and Prognostics". BioMed Research International 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/490531.
Texto completoBaruah, P. y R. B. Chinnam *. "HMMs for diagnostics and prognostics in machining processes". International Journal of Production Research 43, n.º 6 (15 de marzo de 2005): 1275–93. http://dx.doi.org/10.1080/00207540412331327727.
Texto completoLi Liu, K. P. Logan, D. A. Cartes y S. K. Srivastava. "Fault Detection, Diagnostics, and Prognostics: Software Agent Solutions". IEEE Transactions on Vehicular Technology 56, n.º 4 (julio de 2007): 1613–22. http://dx.doi.org/10.1109/tvt.2007.897219.
Texto completoSai Sarathi Vasan, Arvind, Bing Long y Michael Pecht. "Diagnostics and Prognostics Method for Analog Electronic Circuits". IEEE Transactions on Industrial Electronics 60, n.º 11 (noviembre de 2013): 5277–91. http://dx.doi.org/10.1109/tie.2012.2224074.
Texto completoTesis sobre el tema "Diagnostics and prognostics"
Rosen, Charles Michael. "Demonstration : integrated diagnostics/prognostics for condition-based maintenance". Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/18954.
Texto completoTai, Zhongtian. "Aircraft electrical power system diagnostics, prognostics and health management". Thesis, Cranfield University, 2009. http://dspace.lib.cranfield.ac.uk/handle/1826/9593.
Texto completoTamilselvan, Prasannavenkatesh. "Advanced failure diagnostics and prognostics for complex system health management". Diss., Wichita State University, 2014. http://hdl.handle.net/10057/10942.
Texto completoThesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering
Macmann, Owen. "Performing Diagnostics & Prognostics On Simulated Engine Failures Using Neural Networks". University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1461593737.
Texto completoMarx, Douw. "Towards a hybrid approach for diagnostics and prognostics of planetary gearboxes". Diss., University of Pretoria, 2021. http://hdl.handle.net/2263/78157.
Texto completoDissertation (MSc)--University of Pretoria, 2021.
Eskom EPPEI
Mechanical and Aeronautical Engineering
Msc
Unrestricted
Van, Dyke Jason. "Modeling Behaviour of Damaged Turbine Blades for Engine Health Diagnostics and Prognostics". Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/20312.
Texto completoSOAVE, Elia. "Diagnostics and prognostics of rotating machines through cyclostationary methods and machine learning". Doctoral thesis, Università degli studi di Ferrara, 2022. http://hdl.handle.net/11392/2490999.
Texto completoNegli ultimi decenni, l’analisi vibrazionale è stata sfruttata per il monitoraggio di molti sistemi meccanici per applicazioni industriali. Nonostante molte pubblicazioni abbiano dimostrato come la diagnostica vibrazionale possa raggiungere risultati soddisfacenti, lo scenario industriale odierno è in profondo cambiamento, guidato dalla necessità di ridurre tempi e costi produttivi. In questa direzione, la ricerca deve concentrarsi sul miglioramento dell’efficienza computazionale delle tecniche di analisi del segnale applicate a fini diagnostici. Allo stesso modo, il mondo industriale richiede una sempre maggior attenzione per la manutenzione predittiva, al fine di stimare l’effettivo danneggiamento del sistema evitando così inutili fermi macchina per operazioni manutentive. In tale ambito, negli ultimi anni l’attività di ricerca si sta spostando verso lo sviluppo di modelli prognostici finalizzati alla stima della vita utile residua dei componenti. Tuttavia, è importante ricordare come i due ambiti siano strettamente connessi, essendo la diagnostica la base su cui fondare l’efficacia di ciascun modello prognostico. Su questa base, questa tesi è stata incentrata su queste due diverse, ma tra loro connesse, aree al fine di identificare e predire possibile cause di cedimento su macchine rotanti per applicazioni industriali. La prima parte della tesi è concentrata sullo sviluppo di un nuovo indicatore di blind deconvolution per l’identificazione di difetti su organi rotanti sulla base della teoria ciclostazionaria. Il criterio presentato vuole andare a ridurre il costo computazionale richiesto dalla blind deconvolution tramite l’utilizzo della serie di Fourier-Bessel grazie alla sua natura modulata, maggiormente affine alla tipica firma vibratoria del difetto. L’indicatore proposto viene accuratamente confrontato con il suo analogo basato sulla classica serie di Fourier considerando sia segnali simulati che segnali di vibrazione reali. Il confronto vuole dimostrare il miglioramento fornito dal nuovo criterio in termini sia di minor numero di operazioni richieste dall’algoritmo che di efficacia diagnostica anche in condizioni di segnale molto rumoroso. Il contributo innovativo di questa parte riguarda la combinazione di ciclostazionarietà e serie di Furier-Bessel che porta alla definizione di un nuovo criterio di blind deconvolution in grado di mantenere l’efficacia diagnostica della ciclostazionarietà ma con un minor tempo computazionale per venire incontro alle richieste del mondo industriale. La second parte riguarda la definizione di un nuovo modello prognostico, appartenente alla famiglia degli hidden Markov models, costruito partendo da una distribuzione Gaussiana generalizzata. L’obbiettivo del metodo proposto è una miglior riproduzione della reale distribuzione dei dati, in particolar modo negli ultimi stadi del danneggiamento. Infatti, la comparsa e l’evoluzione del difetto comporta una modifica della distribuzione delle osservazioni fra i diversi stati. Di conseguenza, una densità di probabilità generalizzata permette la modificazione della forma della distribuzione tramite diversi valori dei parametri del modello. Il metodo proposto viene confrontato con il classico hidden Markov model di base Gaussiana in termini di qualità di riproduzione della distribuzione e predizione della sequenza di stati tramite l’analisi di alcuni test di rottura su cuscinetti volventi e sistemi complessi. L’innovatività di questa parte è data dalla definizione di un algoritmo iterativo per la stima dei parametri del modello nell’ipotesi di distribuzione Gaussiana generalizzata, sia nel caso monovariato che multivariato, partendo dalle osservazioni sul sistema fisico in esame.
Barlas, Irtaza. "A Multiagent Framework for a Diagnostic and Prognostic System". Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5290.
Texto completoBrahimi, Mehdi. "Développement d'une approche de 'Prognostics and Health Management' pour l'infrastructure ferroviaire". Electronic Thesis or Diss., Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD026.
Texto completoDeveloping intelligent systems that can meet the growing needs for transportation is a key competitiveness issue for the different stakeholders in the railway industry. In this context, the current collection system, consisting of the overhead contact line (catenary) and the pantograph, is a key element of the railway infrastructure. In fact, a damaged or degraded component of the catenary can cause significant delays, can damage the infrastructure and the rolling stock, and can cause significant financial losses for the railway operator. In this way, railway manufacturers such as Alstom are trying to develop modern maintenance solutions to manage the operability of systems and ensure their availability. In order to achieve objectives of system availability, reliability, and safety, the most currently studied approach is the "Prognostics and Health Management" (PHM). In this thesis, the first contribution consists in formalizing a process for the deployment and development of a PHM system regarding the specific context of the railway infrastructure, and more particularly the current collection system. The second contribution of the thesis deals with the diagnostics function for the overhead contact line system. The proposed diagnostics approach ensures the detection, the identification, and the localization of different failure modes of the catenary from contact force measurements. The considered approach is based on support vector machines (SVM) and specific features extracted from the contact force. The data used for the validation of the diagnostics procedure are derived from the simulation, afterward, inline data are used to validate the method and to propose an industrial deployment of the diagnostics approach. Finally, the last contribution concerns the development of a prognostics function for the catenary contact wire. This method is based on the use of wear models and filtering approaches. Prognostics performances were evaluated based on the relevance of the prognostics-based maintenance decision. This thesis allowed the implementation of different approaches for a PHM deployment for the catenary system
Yang, Yang. "Aircraft landing gear extension and retraction control system diagnostics, prognostics and health management". Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7266.
Texto completoLibros sobre el tema "Diagnostics and prognostics"
Rajamani, Ravi. Diagnostics and Prognostics of Aerospace Engines. Warrendale, PA: SAE International, 2018. http://dx.doi.org/10.4271/0768093082.
Texto completoKadry, Seifedine. Diagnostics and prognostics of engineering systems: Methods and techniques. Hershey, PA: Engineering Science Reference, 2013.
Buscar texto completoToms, Allison M. y Amy Fentress, eds. Symposium on In-Service Lubricant and Machine Analysis, Diagnostics, and Prognostics. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2011. http://dx.doi.org/10.1520/stp1536-eb.
Texto completoPeter, Willett, Kirubarajan Thiagalingam y Society of Photo-optical Instrumentation Engineers., eds. Component and systems diagnostics, prognostics, and health management II: 3-4 April, 2002, Orlando, USA. Bellingham, Wash: SPIE--the International Society for Optical Engineering, 2002.
Buscar texto completoInternational Workshop on Structural Health Monitoring (4th 2003 Stanford, Calif.). Structural health monitoring 2003: From diagnostics & prognostics to structural health management : proceedings of the 4th International Workshop on Structural Health Monitoring, Stanford University, Stanford, CA, September 15-17, 2003. Lancaster, PA: DEStech Pub., 2003.
Buscar texto completoRusso, Antonio, Stefano Iacobelli y Juan Iovanna, eds. Diagnostic, Prognostic and Therapeutic Value of Gene Signatures. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-358-5.
Texto completoNieto, Mark E. Naval aviation aging wiring: Prognostic and diagnostic solutions. Monterey, Calif: Naval Postgraduate School, 2000.
Buscar texto completoMurphy, Michael J., ed. Diagnostic and Prognostic Biomarkers and Therapeutic Targets in Melanoma. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-60761-433-3.
Texto completoMartinsson, Ulla. Low grade non-Hodgkin lymphomas: Diagnostic and prognostic studies. Uppsala, Sweden: Uppsala University, 1990.
Buscar texto completoK, Pantel, ed. Minimal residual epithelial cancer: Diagnostic approaches and prognostic relevance. Stuttgart: Gustav Fischer Verlag, 1996.
Buscar texto completoCapítulos de libros sobre el tema "Diagnostics and prognostics"
Zhang, Yilu y Xinyu Du. "Connected Vehicle Diagnostics and Prognostics". En Prognostics and Health Management of Electronics, 479–501. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch17.
Texto completoKang, Myeongsu. "Machine Learning: Diagnostics and Prognostics". En Prognostics and Health Management of Electronics, 163–91. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch7.
Texto completoGhoshal, Anindya. "Sensor Applications for Structural Diagnostics and Prognostics". En Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012), 503–16. India: Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0757-3_30.
Texto completoMarx, Douw G., P. Stephan Heyns y Stephan Schmidt. "Hybrid Diagnostics and Prognostics of Planetary Gearboxes". En Applied Condition Monitoring, 182–97. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85584-0_19.
Texto completoZhao, Jun y Matthew W. Lawless. "ncRNA as Diagnostics and Prognostics for Hepatocellular Carcinoma". En MicroRNAs and Other Non-Coding RNAs in Inflammation, 219–30. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13689-9_12.
Texto completoElghaieb, Iheb, Abdelbaki Souid, Ahmed Zouinkhi y Hedi Sakli. "Defeating Alzheimer's: AI Perspective from Diagnostics to Prognostics". En Machine Learning and Deep Learning Techniques for Medical Image Recognition, 245–56. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003366249-14.
Texto completoXi, Zhimin, Rong Jing, Cheol Lee y Mushegh Hayrapetyan. "RECENT RESEARCH ON BATTERY DIAGNOSTICS, PROGNOSTICS, AND UNCERTAINTY MANAGEMENT". En Advances in Battery Manufacturing, Service, and Management Systems, 175–216. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119060741.ch8.
Texto completoRandall, R. B. "Applications of Spectral Kurtosis in Machine Diagnostics and Prognostics". En Damage Assessment of Structures VI, 21–32. Stafa: Trans Tech Publications Ltd., 2005. http://dx.doi.org/10.4028/0-87849-976-8.21.
Texto completoCrowder, James A., John Carbone y Shelli Friess. "Artificial Neural Diagnostics and Prognostics: Self-Soothing in Cognitive Systems". En Artificial Psychology, 87–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17081-3_8.
Texto completoRamirez, Andrea Sanchez, Richard Loendersloot, Tiedo Tinga y Giuseppe D’Angelo. "Impact Response Characterization as Basis for Bearing Diagnostics and Prognostics". En Proceedings of the 9th IFToMM International Conference on Rotor Dynamics, 567–76. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-06590-8_46.
Texto completoActas de conferencias sobre el tema "Diagnostics and prognostics"
Mohr, Fabian, Weike Sun y Richard D. Braatz. "Advanced Methods in Diagnostics and Prognostics". En 2024 American Control Conference (ACC), 749–62. IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644895.
Texto completoLeFevre, Brian, Treven Baker, Jason Friel y Nicholos Mackos. "Propulsion System Diagnostic and Reasoning Technology Development". En Vertical Flight Society 70th Annual Forum & Technology Display, 1–11. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9537.
Texto completoRuggeri, Massimiliano, Francesco Maita, Luca Maiolo, Mattia Ferri, Christopher Rosi y Sara Baldoni. "Innovative hyper-thin sensor for cartridge valves diagnostics and prognostics". En 2024 International Maha Fluid Power Conference, 105–20. Denmark: River Publishers, 2024. http://dx.doi.org/10.13052/rp-9788770047456.009.
Texto completoMartin, Charles, Alice Murphy, Tsai-Ching Lu y Steve Slaughter. "Abnormal Derivative Frequency for Sensor and Wiring Prognostics". En Vertical Flight Society 74th Annual Forum & Technology Display, 1–11. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12775.
Texto completoMa, Xinyi, Jie Liu, Hassan Mahmoud y Madhav Mishra. "Performance Analysis and Comparison of Pre-Trained CNN in Bearing Fault Diagnostics". En 2024 Prognostics and System Health Management Conference (PHM), 422–27. IEEE, 2024. http://dx.doi.org/10.1109/phm61473.2024.00080.
Texto completoBender, Amelie, Osarenren K. Aimiyekagbon y Walter Sextro. "Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment". En 2024 Prognostics and System Health Management Conference (PHM), 159–64. IEEE, 2024. http://dx.doi.org/10.1109/phm61473.2024.00038.
Texto completoOrsagh, Rolf F., Jeremy Sheldon y Christopher J. Klenke. "Prognostics/Diagnostics for Gas Turbine Engine Bearings". En ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38075.
Texto completoZaccaria, Valentina, Amare D. Fentaye y Konstantinos Kyprianidis. "Bayesian Information Fusion for Gas Turbines Diagnostics and Prognostics". En ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gt2023-103171.
Texto completoJaw, Link C. y William Wang. "Mathematical Formulation of Model-Based Methods for Diagnostics and Prognostics". En ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90655.
Texto completoScott, Andrew. "Electro-mechanical diagnostics/prognostics". En 2007 IEEE Autotestcon. IEEE, 2007. http://dx.doi.org/10.1109/autest.2007.4374239.
Texto completoInformes sobre el tema "Diagnostics and prognostics"
Nenadic, Nenad G. Gear Fatigue Diagnostics and Prognostics. Fort Belvoir, VA: Defense Technical Information Center, enero de 2013. http://dx.doi.org/10.21236/ada577427.
Texto completoVance, David, Francois Koenig y Russell Harris. Prognostics and Diagnostics Program, Tilt Demonstration. Fort Belvoir, VA: Defense Technical Information Center, junio de 2006. http://dx.doi.org/10.21236/ada450039.
Texto completoJohnson, Leslie D. y Terri A. Merdes. Accelerated Capabilities Initiative Condition-Based Maintenance: Machinery Diagnostics/Prognostics II. Fort Belvoir, VA: Defense Technical Information Center, febrero de 2005. http://dx.doi.org/10.21236/ada430339.
Texto completoStewart, Paul. Sensor Fusion, Prognostics, Diagnostics and Failure Mode Control for Complex Aerospace Systems. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2010. http://dx.doi.org/10.21236/ada535693.
Texto completoTom, Kwok F. A Primer on Vibrational Ball Bearing Feature Generation for Prognostics and Diagnostics Algorithms. Fort Belvoir, VA: Defense Technical Information Center, marzo de 2015. http://dx.doi.org/10.21236/ada614145.
Texto completoWeiss, Brian A., Donnie Alonzo y Steve D. Weinman. Summary report on a workshop on advanced monitoring, diagnostics, and prognostics for manufacturing operations. Gaithersburg, MD: National Institute of Standards and Technology, noviembre de 2017. http://dx.doi.org/10.6028/nist.ams.100-13.
Texto completoWeiss, Brian A., Michael Brundage, Yannick Tamm, Tommi Makila y Joan Pellegrino. Summary report on the industry forum for monitoring, diagnostics, and prognostics for manufacturing operations. Gaithersburg, MD: National Institute of Standards and Technology, abril de 2019. http://dx.doi.org/10.6028/nist.ams.100-23.
Texto completoWu, Bin, Lixia Guo, Kaikai Zhen y Chao Sun. Diagnostic and prognostic value of miRNAs in hepatoblastoma: A systematic review with meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, noviembre de 2021. http://dx.doi.org/10.37766/inplasy2021.11.0045.
Texto completoCassady, C. R., Heather L. Nachtmann, Edward A. Pohl, Alejandro Mendoza, Letitia Pohl y Nick Rew. Maintenance Decision-Making Under Prognostic and Diagnostic Uncertainty. Fort Belvoir, VA: Defense Technical Information Center, enero de 2005. http://dx.doi.org/10.21236/ada452058.
Texto completoAgarwal, Vivek, Nancy J. Lybeck y Binh T. Pham. Diagnostic and Prognostic Models for Generator Step-Up Transformers. Office of Scientific and Technical Information (OSTI), septiembre de 2014. http://dx.doi.org/10.2172/1166054.
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