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1Academic Journal
المؤلفون: Tayybeh Mohammadi, Mahnoosh Moghaddasi, Sedigheh Anvari, Rizwan Aziz
المصدر: Water Practice and Technology, Vol 19, Iss 2, Pp 594-610 (2024)
مصطلحات موضوعية: climate change, extreme temperature, iran, non-stationary analysis, return period, Environmental technology. Sanitary engineering, TD1-1066
وصف الملف: electronic resource
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2Academic Journal
المؤلفون: Sanying Zhu, Shutong Zhou, Liuquan Wang, Chenxin Zang, Yanqiang Liu, Qiang Liu
المصدر: Sensors, Vol 24, Iss 20, p 6542 (2024)
مصطلحات موضوعية: 5G round-trip time prediction, real factory scenario, low latency requirements, stationary analysis, spectrum analysis, variational mode decomposition, Chemical technology, TP1-1185
وصف الملف: electronic resource
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3Academic Journal
المؤلفون: Eduardo Arrufat-Pié, Mario Estévez-Báez, José Mario Estévez-Carreras, Gerry Leisman, Calixto Machado, Carlos Beltrán-León
المصدر: Signals, Vol 4, Iss 3, Pp 489-506 (2023)
مصطلحات موضوعية: empirical mode decomposition, Hilbert transform, Hilbert–Huang transform, EEG, non-stationary analysis, Applied mathematics. Quantitative methods, T57-57.97
وصف الملف: electronic resource
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4Academic Journal
المؤلفون: Andrzej Chydzinski
المصدر: IEEE Access, Vol 11, Pp 138141-138150 (2023)
مصطلحات موضوعية: Queueing system, probabilistic rejections, throughput, transient analysis, stationary analysis, computer networking, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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5Academic Journal
المؤلفون: Dingkun Huang, Xiaopeng Yan, Xinhong Hao, Jian Dai, Xinwei Wang
المصدر: Sensors; Volume 22; Issue 20; Pages: 7783
مصطلحات موضوعية: cyclic stationary analysis, CWD time-frequency analysis, noise suppression, YOLOv5 model, radiation source signal sorting and identification
وصف الملف: application/pdf
Relation: Radar Sensors; https://dx.doi.org/10.3390/s22207783
الاتاحة: https://doi.org/10.3390/s22207783
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6Academic Journal
المؤلفون: Eduardo Arrufat‐Pié, Mario Estévez‐Báez, José Mario Estévez‐Carreras, Calixto Machado‐Curbelo, Gerry Leisman, Carlos Beltrán
المصدر: Engineering Reports, Vol 3, Iss 8, Pp n/a-n/a (2021)
مصطلحات موضوعية: EEG, Hilbert–Huang transform, multivariate empirical mode decomposition, non‐stationary analysis, spectral analysis, Engineering (General). Civil engineering (General), TA1-2040, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2577-8196
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7Academic Journal
المؤلفون: Ahmed Farouk Kineber, AH Ali, N Elshaboury, AE Oke, M Arashpour
مصطلحات موضوعية: Building industry studies, Value management, Implementation barriers, Residential building projects, Multi-criteria evaluation, Stationary analysis
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8Academic Journal
المؤلفون: H. H. Draz, S. R. I. Gabran, Mohamed Basha, Hassan Mostafa, Mohamed F. Abu-Elyazeed, Amal Zaki
المصدر: BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-14 (2018)
مصطلحات موضوعية: Microelectrode, Finite element model, Buckling analysis, Stationary analysis, FOM, Medical technology, R855-855.5
وصف الملف: electronic resource
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9Academic Journal
المؤلفون: Muramatsu, Mayu, Yashiro, Keiji, Kawada, Tatsuya, Tarada, Kenjiro
المصدر: Engineering Computations, 2017, Vol. 34, Issue 6, pp. 1956-1988.
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10Academic Journal
المؤلفون: Yonas Dibike, Hyung-Il Eum, Paulin Coulibaly, Joshua Hartmann
المصدر: Climate; Volume 7; Issue 7; Pages: 88
مصطلحات موضوعية: Athabasca River, climate projection, hydrologic modelling, peak-flow, return period, stationary analysis, non-stationary analysis
جغرافية الموضوع: agris
وصف الملف: application/pdf
Relation: https://dx.doi.org/10.3390/cli7070088
الاتاحة: https://doi.org/10.3390/cli7070088
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11Conference
المؤلفون: Dester, Plinio, S, Fricker, Christine, Mohamed, Hanene
المساهمون: Networks, Algorithms and Probabilities (RAP2), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Dynamics of Geometric Networks (DYOGENE), Département d'informatique - ENS Paris (DI-ENS), École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria), Modélisation aléatoire de Paris X (MODAL'X), Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS), labex MME-DII, J. A. Fill, M. D. Ward, ANR-11-LABX-0023,MME-DII,Modèles Mathématiques et Economiques de la Dynamique, de l'Incertitude et des Interactions(2011)
المصدر: 29th International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2018).
https://inria.hal.science/hal-01666326
29th International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2018)., Jun 2018, Uppsala, Sweden. ⟨10.4230/LIPIcs.AofA.2018.22⟩مصطلحات موضوعية: Local choice, Balance equations, Stationary analysis, Power series expansion, Queueing model, 2012 ACM Subject Classification Mathematics of computing → Stochastic processes Keywords and phrases queueing model, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
Relation: hal-01666326; https://inria.hal.science/hal-01666326; https://inria.hal.science/hal-01666326v2/document; https://inria.hal.science/hal-01666326v2/file/LocalChoiceAofA2018%20%281%29.pdf
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12
المؤلفون: R. George Ratcliffe, Nicholas J. Kruger
المصدر: Journal of Experimental Botany
مصطلحات موضوعية: AcademicSubjects/SCI01210, Flux balance analysis, Physiology, Stable isotope ratio, Chemistry, Metabolic network, steady-state analysis, Plant Science, Non stationary analysis, Plants, eXtra Botany, Models, Biological, Metabolic pathway, Viewpoint, metabolic flux analysis, metabolic network, Metabolic flux analysis, non-stationary analysis, metabolic phenotype, Metabolic phenotype, Biological system, Metabolic Networks and Pathways, Organism
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13Dissertation/ Thesis
المؤلفون: Arango Castrillón, Juan David
المساهمون: Guevara Carazas, Fernando Jesús, Restrepo Martínez, Alejandro, Gestión, Operación y Mantenimiento de Activos - Gomac, Restrepo Martínez, Alejandro 0000-0001-8978-2077, Arango Castrillón, Juan David 0000-0002-4615-9186, Guevara Carazas, Fernando Jesús 0000-0001-8529-4383
مصطلحات موضوعية: 530 - Física::534 - Sonido y vibraciones relacionadas, 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería, Ingeniería mecánica, Vibración - Mediciones, Rolling Element Bearing, Vibration Analysis, Non-stationary Speed, Cyclo-non-stationary analysis, Computer order tracking, Spectral Kurtosis, Rodamiento, Análisis de Vibraciones, Velocidad variable, Cyclo-No Estacionareidad, Order Tracking Computarizado, Kurtosis Espectral
وصف الملف: 167 páginas; application/pdf
Relation: RedCol; LaReferencia; R. Potter and M. Gribler, “Computed order tracking obsoletes older methods,” SAE Tech. Pap., no. l, pp. 63–67, 1989.; R. B. Randall and J. Antoni, “Rolling element bearing diagnostics---A tutorial,” Mech. Syst. Signal Process., vol. 25, no. 2, pp. 485–520, 2011.; F. Bonnardot, R. B. Randall, and J. Antoni, “Enhanced unsupervised noise cancellation using angular resampling for planetary bearing fault diagnosis,” Int. J. Acoust. Vib., vol. 9, no. 2, pp. 51–60, 2004.; P. D. McFadden, “Interpolation techniques for time domain averaging of gear vibration,” Mech. Syst. Signal Process., vol. 3, no. 1, pp. 87–97, 1989.; C. Peeters et al., “Review and comparison of tacholess instantaneous speed estimation methods on experimental vibration data,” Mech. Syst. Signal Process., vol. 129, pp. 407–436, 2019.; P. D. McFadden and J. D. Smith, “Model for the vibration produced by a single point defect in a rolling element bearing,” J. Sound Vib., vol. 96, no. 1, pp. 69–82, 1984.; I. Howard, “A Review of Rolling Element Bearing Vibration ‘Detection, Diagnosis and Prognosis,’” DSTO-AMRL Report, DSTO-RR-00113, no. October 1994, pp. 35–41, 1994.; B. P. Graney and K. Starry, “Rolling element bearing analysis,” Mater. Eval., vol. 70, no. 1, 2012.; D. Abboud, M. Elbadaoui, W. A. Smith, and R. B. Randall, “Advanced bearing diagnostics: A comparative study of two powerful approaches,” Mechanical Systems and Signal Processing, vol. 114. pp. 604–627, 2019.; D. Abboud, J. Antoni, M. Eltabach, and S. Sieg-Zieba, “Angle\time cyclostationarity for the analysis of rolling element bearing vibrations,” Meas. J. Int. Meas. Confed., vol. 75, pp. 29–39, 2015.; N. K. Verma and T. S. S. Subramanian, “Cost benefit analysis of intelligent condition based maintenance of rotating machinery,” 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA). 2012.; B. Al-Najjar and I. Alsyouf, “Enhancing a company’s profitability and competitiveness using integrated vibration-based maintenance: A case study,” Eur. J. Oper. Res., vol. 157, no. 3, pp. 643–657, 2004.; B. Al-Najjar, “The lack of maintenance and not maintenance which costs: A model to describe and quantify the impact of vibration-based maintenance on company’s business,” Int. J. Prod. Econ., vol. 107, no. 1, pp. 260–273, May 2007.; R. B. Randall, Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications. John Wiley & Sons, 2011.; P. D. McFadden and J. D. Smith, “Vibration monitoring of rolling element bearings by the high-frequency resonance technique --- a review,” Tribology International, vol. 17, no. 1. pp. 3–10, 1984.; M. J. Dowling, “Application of non-stationary analysis to machinery monitoring,” in 1993 {IEEE} International Conference on Acoustics, Speech, and Signal Processing, 1993, vol. 1, pp. 59--62 vol.1.; D. Rémond, J. Antoni, and R. B. Randall, “Editorial for the special issue on Instantaneous Angular Speed ({IAS}) processing and angular applications,” Mechanical Systems and Signal Processing, vol. 44, no. 1–2. pp. 1–4, 2014.; {OREDA}: Offshore Reliability Data Handbook. OREDA Participants, 2009.; M. El Hachemi Benbouzid, “A review of induction motors signature analysis as a medium for faults detection,” IEEE Trans. Ind. Electron., vol. 47, no. 5, pp. 984–993, 2000.; R. R. Schoen, T. G. Habetler, F. Kamran, and R. G. Bartfield, “Motor bearing damage detection using stator current monitoring,” IEEE Trans. Ind. Appl., vol. 31, no. 6, pp. 1274–1279, 1995.; C. Peeters, P. Guillaume, and J. Helsen, “Vibration-based bearing fault detection for operations and maintenance cost reduction in wind energy,” Renew. Energy, vol. 116, pp. 74–87, 2018.; W. A. Smith and R. B. Randall, “Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study,” Mech. Syst. Signal Process., vol. 64–65, pp. 100–131, 2015.; J. Antoni, F. Bonnardot, A. Raad, and M. El Badaoui, “Cyclostationary modelling of rotating machine vibration signals,” Mech. Syst. Signal Process., vol. 18, no. 6, pp. 1285–1314, 2004.; E. Mendel et al., “Automatic bearing fault pattern recognition using vibration signal analysis,” IEEE Int. Symp. Ind. Electron., pp. 955–960, 2008.; D. Wang, X. Zhao, L. L. Kou, Y. Qin, Y. Zhao, and K. L. Tsui, “A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis,” Mech. Syst. Signal Process., vol. 122, no. January, pp. 754–768, 2019.; O. Janssens et al., “Convolutional Neural Network Based Fault Detection for Rotating Machinery,” J. Sound Vib., vol. 377, pp. 331–345, 2016.; W. Zhang, M. P. Jia, L. Zhu, and X. A. Yan, “Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis,” Chinese J. Mech. Eng. (English Ed., vol. 30, no. 4, pp. 782–795, 2017.; R. Zhang, H. Tao, L. Wu, and Y. Guan, “Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions,” IEEE Access, vol. 5, pp. 14347–14357, 2017.; J. Antoni, “The spectral kurtosis: A useful tool for characterising non-stationary signals,” Mech. Syst. Signal Process., vol. 20, no. 2, pp. 282–307, 2006.; J. Antoni and R. B. Randall, “The spectral kurtosis: Application to the vibratory surveillance and diagnostics of rotating machines,” Mech. Syst. Signal Process., vol. 20, no. 2, pp. 308–331, 2006.; J. Antoni, “Fast computation of the kurtogram for the detection of transient faults,” Mech. Syst. Signal Process., vol. 21, no. 1, pp. 108–124, 2007.; R. B. Randall, J. Antoni, and S. Chobsaard, “The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals,” Mech. Syst. Signal Process., vol. 15, no. 5, pp. 945–962, 2001.; A. C. McCormick and A. K. Nandi, “Cyclostationarity in Rotating Machine Vibrations 1 Introduction 2 Wide-sense Cyclostationarity,” Mech. Syst. Signal Process., vol. 12, no. 2, pp. 225–242, 1998.; J. Antoni, “Cyclic spectral analysis in practice,” Mech. Syst. Signal Process., vol. 21, no. 2, pp. 597–630, 2007.; M. D. Coats and R. B. Randall, “Order-Tracking with and without a tacho signal for gear fault diagnostics,” Aust. Acoust. Soc. Conf. 2012, Acoust. 2012 Acoust. Dev. Environ., no. November, pp. 447–454, 2012.; K. R. Fyfe and E. D. S. Munck, “Analysis of computed order tracking,” Mech. Syst. Signal Process., vol. 11, no. 2, pp. 187–205, 1997.; S. J. Idehara, A. Luiz, A. Mesquita, U. A. Miranda, M. D. Jr, and D. Ph, “Order tracking methods analysis,” no. 1, 2003.; S. Schmidt, P. S. Heyns, and J. P. de Villiers, “A tacholess order tracking methodology based on a probabilistic approach to incorporate angular acceleration information into the maxima tracking process,” Mech. Syst. Signal Process., vol. 100, pp. 630–646, 2018.; J. Urbanek, T. Barszcz, and J. Antoni, “A two-step procedure for estimation of instantaneous rotational speed with large fluctuations,” Mech. Syst. Signal Process., vol. 38, no. 1, pp. 96–102, 2013.; Q. Leclère, H. André, and J. Antoni, “A multi-order probabilistic approach for Instantaneous Angular Speed tracking debriefing of the CMMNO?14 diagnosis contest,” Mech. Syst. Signal Process., vol. 81, pp. 375–386, 2016.; D. Abboud, J. Antoni, S. Sieg-Zieba, and M. Eltabach, “Deterministic-random separation in nonstationary regime,” J. Sound Vib., vol. 362, pp. 305–326, 2016.; P. Borghesani, P. Pennacchi, R. B. Randall, N. Sawalhi, and R. Ricci, “Application of cepstrum pre-whitening for the diagnosis of bearing faults under variable speed conditions,” Mech. Syst. Signal Process., vol. 36, no. 2, pp. 370–384, 2013.; D. Abboud, S. Baudin, J. Antoni, D. Rémond, M. Eltabach, and O. Sauvage, “The spectral analysis of cyclo-non-stationary signals,” Mech. Syst. Signal Process., 2016.; G. D’Elia, Z. Daher, and J. Antoni, “A novel approach for the cyclo-non-stationary analysis of speed varying signals,” Proc. ISMA 2010 - Int. Conf. Noise Vib. Eng. Incl. USD 2010, pp. 2801–2814, 2010.; W. A. Smith, R. B. Randall, X. de C. du Mée, and P. Peng, “Use of cyclostationary properties to diagnose planet bearing faults in variable speed conditions,” in 10th {DST} group international conference on health and usage monitoring systems, 17th Australian aerospace congress, 2017, pp. 26–28.; J. Berntsen, A. Brandt, and K. Gryllias, “Enhanced demodulation band selection based on Operational Modal Analysis (OMA) for bearing diagnostics,” Mech. Syst. Signal Process., vol. 181, no. July, p. 109300, 2022.; A. Mauricio, D. Helm, M. Timusk, J. Antoni, and K. Gryllias, “Novel Cyclo-Nonstationary Indicators for Monitoring of Rotating Machinery Operating Under Speed and Load Varying Conditions,” J. Eng. Gas Turbines Power, vol. 144, no. 4, Apr. 2022.; A. Mauricio et al., “Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence,” Mech. Syst. Signal Process., vol. 140, p. 106673, 2020.; M. Nakhaeinejad and M. D. Bryant, “Dynamic modeling of rolling element bearings with surface contact defects using bond graphs,” J. Tribol., vol. 133, no. 1, pp. 1–12, 2011.; J. D. Arango and A. Restrepo-martinez, “Rolling Element Bearing Diagnosis by Improved Envelope Spectrum : Optimal Frequency Band Selection,” vol. 15, no. 8, pp. 322–330, 2021.; A. Mauricio, W. A. Smith, R. B. Randall, J. Antoni, and K. Gryllias, “Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions,” Mech. Syst. Signal Process., vol. 144, p. 106891, 2020.; F. Cong, J. Chen, G. Dong, and M. Pecht, “Vibration model of rolling element bearings in a rotor-bearing system for fault diagnosis,” J. Sound Vib., vol. 332, no. 8, pp. 2081–2097, 2013.; L. R. Kahn, “Single-Sideband Transmission by Envelope Elimination and Restoration,” Proc. IRE, vol. 40, no. 7, pp. 803–806, 1952.; C. Mishra, A. K. Samantaray, and G. Chakraborty, “Ball bearing defect models: A study of simulated and experimental fault signatures,” J. Sound Vib., vol. 400, no. July, pp. 86–112, 2017.; https://repositorio.unal.edu.co/handle/unal/84318; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.co/
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14Academic Journal
المساهمون: Oliveros Pantoja, Ingrid, Soto Ortíz, José Daniel, Zurek Varela, Leandro Alberto, Jiménez Mattos, Elvin
مصطلحات موضوعية: Micro-red aislada, paneles solares, energía solar fotovoltaica, analisis dinámico, análisis estacionario, solar panels, photovoltaic solar energy, dynamic analysis, stationary analysis, Isolated micro-grid
وصف الملف: image/png; application/pdf
Relation: http://hdl.handle.net/10584/7765
الاتاحة: http://hdl.handle.net/10584/7765
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15Academic Journal
المؤلفون: Moughty, John James, Casas Rius, Joan Ramon
المساهمون: Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental, Universitat Politècnica de Catalunya. EC - Enginyeria de la Construcció
مصطلحات موضوعية: Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructurals, Structural health monitoring, damage detection, modal analysis, machine learning, non-stationary analysis, signal processing, Monitorització de salut estructural
وصف الملف: 24 p.
Relation: http://www.mdpi.com/2076-3417/7/5/510; info:eu-repo/grantAgreement/EC/H2020/642453/EU/Training in Reducing Uncertainty in Structural Safety/TRUSS; Moughty, J., Casas, J. A state of the art review of modal-based damage detection in bridges: development, challenges, and solutions. "Applied sciences", Maig 2017, vol. 7, núm. 5, p. 1-24.; http://hdl.handle.net/2117/105103
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16
المؤلفون: Z.S. Valiyeva
المصدر: Экономика и социум. :777-780
مصطلحات موضوعية: Stationary analysis
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17
المؤلفون: S. K. Samanta, R. Nandi
المصدر: American Journal of Mathematical and Management Sciences. 39:362-382
مصطلحات موضوعية: Queueing theory, 021103 operations research, Stationary analysis, Applied Mathematics, 0211 other engineering and technologies, 02 engineering and technology, Queueing system, 01 natural sciences, General Business, Management and Accounting, Buffer (optical fiber), 010104 statistics & probability, Matrix geometric method, Applied mathematics, 0101 mathematics, Spectral method, Mathematics
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18
المؤلفون: Nguyen Duc Hoa, Nguyen Xuan Thai, Nguyen Van Duy, Hugo Nguyen, Chu Manh Hung, Nguyen Van Hieu, Tran Manh Hung
المصدر: Journal of Science: Advanced Materials and Devices, Vol 5, Iss 1, Pp 40-47 (2020)
مصطلحات موضوعية: SnO2 nanowires, Materials science, Stationary analysis, Materials Science (miscellaneous), Air pollution, Nanowire, 02 engineering and technology, Real-time monitoring, 010402 general chemistry, medicine.disease_cause, 01 natural sciences, Automotive engineering, Biomaterials, Software, medicine, lcsh:TA401-492, Annan elektroteknik och elektronik, Data processing, Other Electrical Engineering, Electronic Engineering, Information Engineering, business.industry, Portable gas sensors, 021001 nanoscience & nanotechnology, Chip, 0104 chemical sciences, Electronic, Optical and Magnetic Materials, Computer data storage, Ceramics and Composites, lcsh:Materials of engineering and construction. Mechanics of materials, 0210 nano-technology, business, Realization (systems), H2S gas
وصف الملف: application/pdf
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19
المؤلفون: Carlos Beltrán, José Mario Estévez-Carreras, Gerry Leisman, Eduardo Arrufat-Pié, Calixto Machado‐Curbelo, Mario Estévez-Báez
المصدر: Engineering Reports, Vol 3, Iss 8, Pp n/a-n/a (2021)
مصطلحات موضوعية: multivariate empirical mode decomposition, Multivariate empirical mode decomposition, Quantitative Biology::Neurons and Cognition, non‐stationary analysis, Fast Fourier transform, Mathematical analysis, Non stationary analysis, QA75.5-76.95, Engineering (General). Civil engineering (General), Hilbert–Huang transform, Spectral line, spectral analysis, Electronic computers. Computer science, Broadband, Spectral analysis, EEG, TA1-2040, Mathematics
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20Academic Journal
المؤلفون: Bean, NG, Malgorzata O'Reilly, Palmowski, Z
مصطلحات موضوعية: Stochastic analysis and modelling, Laplace-Stieltjes transform, Markov chain, stationary analysis, stochastic fluid-fluid model, stochastic fluid model, transient analysis, matrix-analytic methods