Academic literature on the topic 'ELECTROMECHANICAL FRAMEWORK'
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Journal articles on the topic "ELECTROMECHANICAL FRAMEWORK"
Trayanova, Natalia A., Jason Constantino, and Viatcheslav Gurev. "Electromechanical models of the ventricles." American Journal of Physiology-Heart and Circulatory Physiology 301, no. 2 (August 2011): H279—H286. http://dx.doi.org/10.1152/ajpheart.00324.2011.
Full textZeng, Qing Liang, Bin Zhang, Zhi Hai Liu, Hong Xi Kang, and Zai Chao Wu. "Coal Mine Electromechanical Equipment Online Management Platform Development Based on Web." Applied Mechanics and Materials 220-223 (November 2012): 2818–22. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2818.
Full textXie, Yu, Zhigang Wu, and Erzhuan Zhou. "Parallel Simulation of The Electromechanical Transient Phenomena of Power System via Modern Software Development Technique." Journal of Physics: Conference Series 2195, no. 1 (February 1, 2022): 012049. http://dx.doi.org/10.1088/1742-6596/2195/1/012049.
Full textGao, Lei. "Study on the Low Carbonization of Highway Electromechanical System." Applied Mechanics and Materials 694 (November 2014): 63–66. http://dx.doi.org/10.4028/www.scientific.net/amm.694.63.
Full textAlbright, Tyler, and Jared Hobeck. "Investigating the Electromechanical Properties of Carbon Black-Based Conductive Polymer Composites via Stochastic Modeling." Nanomaterials 13, no. 10 (May 14, 2023): 1641. http://dx.doi.org/10.3390/nano13101641.
Full textAmrhein, Marco, and Philip T. Krein. "3-D Magnetic Equivalent Circuit Framework for Modeling Electromechanical Devices." IEEE Transactions on Energy Conversion 24, no. 2 (June 2009): 397–405. http://dx.doi.org/10.1109/tec.2009.2016134.
Full textLi, Zhanfeng, Chennakesava Kadapa, Mokarram Hossain, and Jiong Wang. "A numerical framework for the simulation of coupled electromechanical growth." Computer Methods in Applied Mechanics and Engineering 414 (September 2023): 116128. http://dx.doi.org/10.1016/j.cma.2023.116128.
Full textTalbot, Hugo, Stéphanie Marchesseau, Christian Duriez, Maxime Sermesant, Stéphane Cotin, and Hervé Delingette. "Towards an interactive electromechanical model of the heart." Interface Focus 3, no. 2 (April 6, 2013): 20120091. http://dx.doi.org/10.1098/rsfs.2012.0091.
Full textMoura, Adriane G., and Alper Erturk. "Combined piezoelectric and flexoelectric effects in resonant dynamics of nanocantilevers." Journal of Intelligent Material Systems and Structures 29, no. 20 (October 12, 2018): 3949–59. http://dx.doi.org/10.1177/1045389x18803441.
Full textSchlegel, Holger, Arvid Hellmich, Kevin Hipp, Johannes Quellmalz, and Reimund Neugebauer. "Improved Controller Performance for Electromechanical Axes." Solid State Phenomena 251 (July 2016): 113–19. http://dx.doi.org/10.4028/www.scientific.net/ssp.251.113.
Full textDissertations / Theses on the topic "ELECTROMECHANICAL FRAMEWORK"
Cariño, Corrales Jesús Adolfo. "Fault detection and identification methodology under an incremental learning framework applied to industrial electromechanical systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/458451.
Full text"Mantenimiento basado en la condición" es un programa que recomienda una serie de medidas preventivas basadas en la información recopilada e interpretada mediante el constante monitoreo de la condición de la maquinaria y ha sido aceptado desde hace una década por la industria como un factor clave para evitar paradas no planificadas de la maquinaria y alcanzar altos índices de producción. Entre las estrategias de mantenimiento basadas en la condición, las metodologías de diagnóstico de fallos basadas en datos han recibido mucha atención debido al alto rendimiento y amplio rango de aplicabilidad, esto se debe que cuentan con menos limitaciones en comparación con otros enfoques. Por lo tanto, se ha hecho un mayor esfuerzo para desarrollar metodologías fiables que puedan diagnosticar múltiples fallos conocidas en una máquina, siendo aplicado inicialmente en entornos controlados como bancadas de laboratorio. Sin embargo, aplicar estos métodos en la industria sigue representando un desafío debido a las múltiples limitaciones implicadas y la alta fiabilidad y robustez requeridas. Uno de los desafíos más importantes en el sector industrial consiste en la gestión de eventos inesperados, específicamente en cómo detectar nuevos fallos o anomalías máquina. Además, la información inicialmente disponible de la máquina industrial monitorizada se limita generalmente al estado sano, por lo tanto, no sólo es necesario detectar estos nuevos escenarios, sino también incorporar esta información al conocimiento base inicial. En este sentido, esta tesis presenta una serie de metodologías complementarias que conducen a la implementación de un sistema de detección e identificación de fallos capaz de detectar múltiples fallos y nuevos escenarios de máquinas electromecánicas industriales en un marco de aprendizaje incremental para incluir los nuevos escenarios detectados al conocimiento base inicial manteniendo un alto rendimiento y capacidades de generalización. Inicialmente, se propone una metodología para aumentar el rendimiento de los modelos de detección de novedad para detectar eventos inesperados en el sistema electromecánico. Después, se propone una metodología para implementar un sistema secuencial de detección e identificación de fallas con alta precisión compuesto por una etapa de detección de novedades y otra de diagnóstico de fallos. Finalmente, se proponen dos metodologías diferentes para proporcionar al sistema secuencial de detección e identificación de fallas la capacidad de incluir nuevos escenarios al conocimiento base. Las metodologías propuestas han sido validadas mediante datos experimentales de bancadas de laboratorio y sistemas electromecánicos industriales.
Land, Sander. "An integrative framework for computational modelling of cardiac electromechanics in the mouse." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:cc71aa3b-70f8-42fc-83c9-4c0b2899f965.
Full textVaculik, Stewart Andrew 1979. "A framework for electromechanical actuator design." 2008. http://hdl.handle.net/2152/18161.
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Ashok, Pradeepkumar. "Math framework for decision making in intelligetn electromechanical actuators." Thesis, 2007. http://hdl.handle.net/2152/2990.
Full textAshok, Pradeepkumar 1977. "Math framework for decision making in intelligetn electromechanical actuators." 2007. http://hdl.handle.net/2152/13166.
Full textMcFarland, Kyle Alan. "A performance map framework for maximizing soldier performance." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-05-3201.
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VERMA, REETESH. "CONTROLLERS FOR MAGNETIC LEVITATION SYSTEM." Thesis, 2019. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19394.
Full textAgrawal, Manish. "Efficient Simulation Strategies for Electromechanical Systems, Contact Mechanics and Time Finite Elements, within the Framework of Hybrid Finite Elements." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/4228.
Full textBooks on the topic "ELECTROMECHANICAL FRAMEWORK"
Yuhno, Natal'ya. Mathematics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1002604.
Full textBook chapters on the topic "ELECTROMECHANICAL FRAMEWORK"
Henrotte, F., and K. Hameyer. "A Mathematical Framework for the Finite Element Modelling of Electromechanical Problems." In Lecture Notes in Computational Science and Engineering, 359–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56470-3_36.
Full textChoy, Alex W. H., and Daniel P. K. Lun. "Deep Learning Based Structural Health Monitoring Framework with Electromechanical Impedance Method." In Transactions on Engineering Technologies, 13–24. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9808-8_2.
Full textMagid, Evgeni, Artyom Pashkin, Nikita Simakov, Bulat Abbyasov, Jackrit Suthakorn, Mikhail Svinin, and Fumitoshi Matsuno. "Artificial Intelligence Based Framework for Robotic Search and Rescue Operations Conducted Jointly by International Teams." In Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin's Readings”, 15–26. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9267-2_2.
Full textZettinig, Oliver, Tommaso Mansi, Bogdan Georgescu, Saikiran Rapaka, Ali Kamen, Jan Haas, Karen S. Frese, et al. "From Medical Images to Fast Computational Models of Heart Electromechanics: An Integrated Framework towards Clinical Use." In Functional Imaging and Modeling of the Heart, 249–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38899-6_30.
Full textRojac, Tadej. "Piezoelectric Nonlinearity and Hysteresis Arising from Dynamics of Electrically Conducting Domain Walls." In Hysteresis in Engineering [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98721.
Full textBaccari, Silvio, Giulio Cammeo, Christian Dufour, Luigi Iannelli, Vincenzo Mungiguerra, Mario Porzio, Gabriella Reale, and Francesco Vasca. "Real-Time Hardware-in-the-Loop in Railway." In Railway Safety, Reliability, and Security, 221–48. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1643-1.ch010.
Full textConference papers on the topic "ELECTROMECHANICAL FRAMEWORK"
Liu, Haigang, and Shouzhao Sheng. "A Fault Diagnosis Framework for Aircraft Electromechanical System." In 2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2021. http://dx.doi.org/10.1109/iciea51954.2021.9516158.
Full textTian, Chunbo, Haoran Zhao, Junchao Diao, and Bing Li. "Electromagnetic and Electromechanical Hybrid Simulation Based on Mosaik Framework." In 2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2020. http://dx.doi.org/10.1109/icpsasia48933.2020.9208522.
Full textDrighiciu, Mircea Adrian. "Hybrid Petri nets: A framework for hybrid systems modeling." In 2017 International Conference on Electromechanical and Power Systems (SIELMEN). IEEE, 2017. http://dx.doi.org/10.1109/sielmen.2017.8123285.
Full textChapon, Damien, Fabien Hospital, Guillaume Bouchez, and Marc Budinger. "A Modelica-Based and Domain-Specific Framework for Electromechanical System Design." In The 8th International Modelica Conference, Technical Univeristy, Dresden, Germany. Linköping University Electronic Press, 2011. http://dx.doi.org/10.3384/ecp11063133.
Full textOu, Shudong, Sen Li, Changqing Wu, Mourui Luo, and Ming Zhao. "A health self-sensing framework for electromechanical equipment using encoder signal." In 2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control ( SDPC). IEEE, 2022. http://dx.doi.org/10.1109/sdpc55702.2022.9915844.
Full text朱, 玲娜, Kai Ren, and Jinyun Pu. "Framework case decision reasoning method integrating multiple information." In Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), edited by Qingsehng Zeng. SPIE, 2022. http://dx.doi.org/10.1117/12.2624660.
Full textLiao, Guomin, Jing Hu, Weiling Chen, Jingcheng Xiao, and Shujie Shen. "Design of supercharger visual platform based on Django framework." In Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), edited by Shuangming Yang and Guanglei Wu. SPIE, 2022. http://dx.doi.org/10.1117/12.2646818.
Full textPeralta, Patricio, Rafael O. Ruiz, and Viviana Meruane. "Bayesian Framework to Quantify Uncertainties in Piezoelectric Energy Harvesters." In ASME 2018 Verification and Validation Symposium. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/vvs2018-9318.
Full textPrakash, Naveen, and Gary D. Seidel. "A Coupled Electromechanical Peridynamics Framework for Modeling Carbon Nanotube Reinforced Polymer Composites." In 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-0936.
Full textLu, Yang, Xiaoli Qiu, and Yan Xing. "Digital Twin-Based Operation Simulation System and Application Framework for Electromechanical Products." In 2021 International Conference on Computer, Control and Robotics (ICCCR). IEEE, 2021. http://dx.doi.org/10.1109/icccr49711.2021.9349373.
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