Literatura académica sobre el tema "Vibration filtering"
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Artículos de revistas sobre el tema "Vibration filtering"
Feltane, S., S. Yahyaoui, A. Hafsaoui y A. Boussaid. "Signal processing application for vibration generated by blasting in tunnels". Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, n.º 5 (2020): 54–60. http://dx.doi.org/10.33271/nvngu/2021-5/054.
Texto completoMortimer, B. "A Spider’s Vibration Landscape: Adaptations to Promote Vibrational Information Transfer in Orb Webs". Integrative and Comparative Biology 59, n.º 6 (20 de mayo de 2019): 1636–45. http://dx.doi.org/10.1093/icb/icz043.
Texto completoWu, Junjie, Yufei Sun, Peng Guo, Lihui Feng, Yongbin Zhang y Youqi Zhang. "Effect of Resonance Interference on MEMS Gyroscopes and Filtering Algorithm Elimination". Journal of Physics: Conference Series 2224, n.º 1 (1 de abril de 2022): 012128. http://dx.doi.org/10.1088/1742-6596/2224/1/012128.
Texto completoLin, Yun, Linghan Zhang, Hongwei Han, Yang Li, Wenjie Shen y Yanping Wang. "Periodic-Filtering Method for Low-SNR Vibration Radar Signal". Remote Sensing 15, n.º 14 (8 de julio de 2023): 3461. http://dx.doi.org/10.3390/rs15143461.
Texto completoHuang, Xili, Cheng Zhang, Hongchen Pang, Zhiqiang Zhao, Qianxi Zhang, Xiaoning Li, Xianzhang Wang, Fang Lin, Bo Li y Xinxiang Pan. "Ultra−Wide Range Vibration Frequency Detection Sensors Based on Elastic Steel Triboelectric Nanogenerators for Intelligent Machinery Monitoring". Nanomaterials 12, n.º 16 (14 de agosto de 2022): 2790. http://dx.doi.org/10.3390/nano12162790.
Texto completoHISATANI, Masujiro. "Adaptive Filtering for Unbalance Vibration Suppression." Transactions of the Japan Society of Mechanical Engineers Series C 62, n.º 597 (1996): 1706–11. http://dx.doi.org/10.1299/kikaic.62.1706.
Texto completoZhang, Yan, Jijian Lian, Songhui Li, Yanbing Zhao, Guoxin Zhang y Yi Liu. "Predicting Dam Flood Discharge Induced Ground Vibration with Modified Frequency Response Function". Water 13, n.º 2 (10 de enero de 2021): 144. http://dx.doi.org/10.3390/w13020144.
Texto completoZhang, Yan, Jijian Lian, Songhui Li, Yanbing Zhao, Guoxin Zhang y Yi Liu. "Predicting Dam Flood Discharge Induced Ground Vibration with Modified Frequency Response Function". Water 13, n.º 2 (10 de enero de 2021): 144. http://dx.doi.org/10.3390/w13020144.
Texto completoLiu, Ning y Thomas Schumacher. "Improved Denoising of Structural Vibration Data Employing Bilateral Filtering". Sensors 20, n.º 5 (5 de marzo de 2020): 1423. http://dx.doi.org/10.3390/s20051423.
Texto completoHornik, Beata, Jan Duława, Czesław Marcisz, Wojciech Korchut y Jacek Durmała. "The Effect of Mechanically-Generated Vibrations on the Efficacy of Hemodialysis; Assessment of Patients’ Safety: Preliminary Reports". International Journal of Environmental Research and Public Health 16, n.º 4 (18 de febrero de 2019): 594. http://dx.doi.org/10.3390/ijerph16040594.
Texto completoTesis sobre el tema "Vibration filtering"
Walter, Patrick L. "FILTERING CONSIDERATIONS WHEN TELEMETERING SHOCK AND VIBRATION DATA". International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/607681.
Texto completoThe accurate measurement of shock and vibration data via flight telemetry is necessary to validate structural models, indicate off-nominal system performance, and/or generate environmental qualification criteria for airborne systems. Digital telemetry systems require anti-aliasing filters designed into them. If not properly selected and located, these filters can distort recorded time histories and modify their spectral content. This paper provides filter design guidance to optimize the quality of recorded flight structural dynamics data. It is based on the anticipated end use of the data. Examples of filtered shock data are included.
Xue, Kai. "Modal filtering for active control of floor vibration under impact loading". Kyoto University, 2018. http://hdl.handle.net/2433/232024.
Texto completoMagee, David Patrick. "Optimal arbitrary time-delay filtering to minimize vibration in elastic manipulator systems". Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/15891.
Texto completoFaghidi, Hamid. "Non-parametric and Non-filtering Methods for Rolling Element Bearing Condition Monitoring". Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30689.
Texto completoBjerke, Benjamin A. "Noise and Degradation Reduction for Signal and Image Processing via Non-adaptive Convolution Filtering". Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23700.
Texto completoMany filters that have been developed are designed to reduce a single class of noise, such as Wiener and Frost filters. When these filters are applied to types of noise that they were not designed for, the effect of the noise reduction can be greatly reduced. The proposed Two-Stage Non-Adaptive Convolution (TSNAC) filter significantly reduces both additive and multiplicative noise in these two unique systems.
The performance of these filters is compared through several Image Quality (IQ) metrics.
It will be shown that the proposed TSNAC filter reduces noise and degradations more effectively in both SAR images and synthetic vibration data than the competing filters. It will show higher IQ scores, greater computational efficiency in target detection, and significant improvement in signal restoration of simulated vibration data.
Master of Science
Erazo, Kalil. "Bayesian Filtering In Nonlinear Structural Systems With Application To Structural Health Monitoring". ScholarWorks @ UVM, 2015. http://scholarworks.uvm.edu/graddis/513.
Texto completoGeiger, Douglas J. "Investigation into the influence of threshold forces and vibrations in diamond roll plunge dressing of grinding wheels". Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-042605-154235/.
Texto completoKeywords: Threshold Forces; Vibrations; Signal Processing; Force Adaptive Grinding; Diamond Roll Dressing. Includes bibliographical references (p. 29 ).
Wilson, David. "Prediction of bending wave transmission across coupled plates affected by spatial filtering and non-diffuse vibration fields". Thesis, University of Liverpool, 2014. http://livrepository.liverpool.ac.uk/15433/.
Texto completoNauclér, Peter. "Estimation and Control of Resonant Systems with Stochastic Disturbances". Doctoral thesis, Uppsala University, Department of Information Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8688.
Texto completoThe presence of vibration is an important problem in many engineering applications. Various passive techniques have traditionally been used in order to reduce waves and vibrations, and their harmful effects. Passive techniques are, however, difficult to apply in the low frequency region. In addition, the use of passive techniques often involve adding mass to the system, which is undesirable in many applications.
As an alternative, active techniques can be used to manipulate system dynamics and to control the propagation of waves and vibrations. This thesis deals with modeling, estimation and active control of systems that have resonant dynamics. The systems are exposed to stochastic disturbances. Some of them excite the system and generate vibrational responses and other corrupt measured signals.
Feedback control of a beam with attached piezoelectrical elements is studied. A detailed modeling approach is described and system identification techniques are employed for model order reduction. Disturbance attenuation of a non-measured variable shows to be difficult. This issue is further analyzed and the problems are shown to depend on fundamental design limitations.
Feedforward control of traveling waves is also considered. A device with properties analogous to those of an electrical diode is introduced. An `ideal´ feedforward controller based on the mechanical properties of the system is derived. It has, however, poor noise rejection properties and it therefore needs to be modified. A number of feedforward controllers that treat the measurement noise in a statistically sound way are derived.
Separation of overlapping traveling waves is another topic under investigation. This operation also is sensitive to measurement noise. The problem is thoroughly analyzed and Kalman filtering techniques are employed to derive wave estimators with high statistical performance.
Finally, a nonlinear regression problem with close connections to unbalance estimation of rotating machinery is treated. Different estimation techniques are derived and analyzed with respect to their statistical accuracy. The estimators are evaluated using the example of separator balancing.
Olsson, Claes. "Active Vibration Control of Multibody Systems : Application to Automotive Design". Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-5818.
Texto completoLibros sobre el tema "Vibration filtering"
Patrizio, Colaneri y SpringerLink (Online service), eds. Periodic Systems: Filtering and Control. London: Springer London, 2009.
Buscar texto completoElliott, S. J. The application of adaptive filtering to the active control of sound and vibration. Southampton, England: University of Southampton, Institute of Sound and Vibration Research, 1985.
Buscar texto completoAndrzej, Kozakiewicz, ed. Kalman filter method in the analysis of vibrations due to water waves. Singapore: World Scientific, 1993.
Buscar texto completoHubbard, James E. Spatial filtering for the control of smart structures: An Introduction. Heidelberg: Springer, 2010.
Buscar texto completoBittanti, Sergio y Patrizio Colaneri. Periodic Systems: Filtering and Control. Springer London, Limited, 2010.
Buscar texto completoCapítulos de libros sobre el tema "Vibration filtering"
Hubbard, James E. "Active Vibration Control with Spatially Shaded Distributed Transducers". En Spatial Filtering for the Control of Smart Structures, 69–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03804-4_3.
Texto completoCastellini, P., P. Chiariotti y M. Martarelli. "Mode Filtering of Continuous Scanning Laser Doppler Vibration Data". En Topics in Modal Analysis, Volume 7, 655–60. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6585-0_63.
Texto completoMagnevall, Martin y Tomas Beno. "Improved Cutting Force Measurements in Milling Using Inverse Filtering". En Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics, Volume 9, 1–11. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30087-0_1.
Texto completoMeng, Xiangzhong y Jianghong Wang. "Research on Method of Wavelet Function Selection to Vibration Signal Filtering". En Lecture Notes in Electrical Engineering, 87–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28807-4_13.
Texto completoPokale, Bharat, R. Rangaraj y Sayan Gupta. "Parameter Identification in a Beam from Experimental Vibration Measurements Using Particle Filtering". En Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012), 683–95. India: Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0757-3_44.
Texto completoIqbal, Mohd y Anil Kumar. "Flexural Vibration Analysis and Improvement of Wave Filtering Capability of Periodic Pipes". En Mechanisms and Machine Science, 1049–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15758-5_108.
Texto completoValente, Nicholas A., Celso T. do Cabo, Zhu Mao y Christopher Niezrecki. "Template Matching and Particle Filtering for Structural Identification of High- and Low-Frequency Vibration". En Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6, 43–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04098-6_5.
Texto completoBurdzik, Rafał y Paweł Słowiński. "Application of Pass-Band Step Filtering Method for Identification the Vibration-Acoustic Signature of a Moving Train". En TRANSBALTICA XII: Transportation Science and Technology, 68–78. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94774-3_7.
Texto completoSmith, J. D. "Signal filtering and improvement". En Vibration Measurement and Analysis, 126–38. Elsevier, 1989. http://dx.doi.org/10.1016/b978-0-408-04101-0.50016-4.
Texto completoDu, Chunling y Lihua Xie. "Adaptive Filtering Algorithms for Active Vibration Control". En Modeling and Control of Vibration in Mechanical Systems, 275–92. CRC Press, 2018. http://dx.doi.org/10.1201/9781315218069-15.
Texto completoActas de conferencias sobre el tema "Vibration filtering"
Plisson, Jules, Adrien Pelat, François Gautier, Vicent Romero-Garcia y Thierry Bourdon. "Design of a Multiwaves Vibration Filtering". En 11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-1560.
Texto completoLong, Guo, Kan Wang y Teik Lim. "Subband Adaptive Filtering Algorithms for Active Broadband Noise Control in Impulsive Vehicle Noise Environment". En Noise and Vibration Conference & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2019. http://dx.doi.org/10.4271/2019-01-1528.
Texto completoWu, Houde, Bin Wang, Ming Zhao y Wenhai Xu. "A self-adaptive anti-vibration pipeline-filtering algorithm". En Sixth International Conference on Graphic and Image Processing (ICGIP 2014), editado por Yulin Wang, Xudong Jiang y David Zhang. SPIE, 2015. http://dx.doi.org/10.1117/12.2178769.
Texto completoKomma, P., C. Weiss y A. Zell. "Adaptive bayesian filtering for vibration-based terrain classification". En 2009 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2009. http://dx.doi.org/10.1109/robot.2009.5152327.
Texto completoSterian, Andreea-Rodica P. y Cristian I. Toma. "Filtering possibilities for processing optoelectronic current for acceleration measurements". En Fifth International Conference on Vibration Measurements by Laser Techniques, editado por Enrico P. Tomasini. SPIE, 2002. http://dx.doi.org/10.1117/12.468162.
Texto completoMarx, L. R. K. y L. Swathi. "Vibration control of piezoactuated cantilever beams using adaptive filtering". En 2013 International Conference on Information Communication and Embedded Systems (ICICES 2013). IEEE, 2013. http://dx.doi.org/10.1109/icices.2013.6508391.
Texto completoQingmei Yang y Jiammin Sun. "Study on vibration control based on adaptive filtering algorithm". En 2009 International Conference on Mechatronics and Automation (ICMA). IEEE, 2009. http://dx.doi.org/10.1109/icma.2009.5246696.
Texto completoQin, Shuren y Yu Guo. "Order Tracking Filtering Based on Instantaneous Frequency Estimation and Zero-Phase Distortion Digital Filtering". En ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48483.
Texto completoMagee, David P. y Wayne J. Book. "Implementing Modified Command Filtering to Eliminate Multiple Modes of Vibration". En 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4793386.
Texto completoZhang, Xiao y Yue Wang. "Research on a filtering method for integrated navigation vibration interference". En 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iceeecs-16.2016.60.
Texto completoInformes sobre el tema "Vibration filtering"
Candy, J., K. Fisher, B. Markowicz y D. Paulsen. Multichannel Deconvolution of Vibrational Shock Signals: An Inverse Filtering Approach. Office of Scientific and Technical Information (OSTI), noviembre de 2020. http://dx.doi.org/10.2172/1727270.
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