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1

Abu el Ata-Doss, S., et P. Ponty. « Supervision of Controlled Processes in Non-Stationary Conditions ». IFAC Proceedings Volumes 18, no 5 (juillet 1985) : 351–56. http://dx.doi.org/10.1016/s1474-6670(17)60584-6.

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Verhoeven, Marijn J. M., et Harrie A. A. Verbon. « Expectations on pension schemes under non-stationary conditions ». Economics Letters 36, no 1 (mai 1991) : 99–103. http://dx.doi.org/10.1016/0165-1765(91)90063-q.

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Čiegis, Raimondas, Olga Štikonienė et Olga Suboč. « On one problem with non-local boundary conditions ». Lietuvos matematikos rinkinys 41 (17 décembre 2001) : 497–503. http://dx.doi.org/10.15388/lmr.2001.34636.

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In this article two problems with non-local boundary conditions are analysed: stationary dif­fusion problem with constant coeficients and non-local boundary condition, and stationary diffu­sion problem with additional convection term and non-local boundary condition. Finite difference schemes are constructed and investigated. The sufficient conditions for the existence of an unique solution are obtained.
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4

Vogel, Richard M., et Charles N. Kroll. « A comparison of estimators of the conditional mean under non-stationary conditions ». Advances in Water Resources 143 (septembre 2020) : 103672. http://dx.doi.org/10.1016/j.advwatres.2020.103672.

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Ganguli, Rajive, et Jon C. Yingling. « Algorithms to control coal segregation under non-stationary conditions ». International Journal of Mineral Processing 61, no 4 (avril 2001) : 261–71. http://dx.doi.org/10.1016/s0301-7516(00)00063-6.

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Ganguli, Rajive, et Jon C. Yingling. « Algorithms to control coal segregation under non-stationary conditions ». International Journal of Mineral Processing 61, no 4 (avril 2001) : 241–59. http://dx.doi.org/10.1016/s0301-7516(00)00064-8.

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Murari, A., M. Lungaroni, M. Gelfusa, E. Peluso et J. Vega. « Adaptive learning for disruption prediction in non-stationary conditions ». Nuclear Fusion 59, no 8 (4 juillet 2019) : 086037. http://dx.doi.org/10.1088/1741-4326/ab1ecc.

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Aliyev, A. M., A. R. Safarov, I. V. Balayev, I. I. Osmanova, A. M. Guseynova et F. G. Bayramov. « DEVELOPMENT OF A NON-STATIONARY MATHEMATICAL MODEL FOR THE PROCESS OF POLYMERIZATION OF PROPYLENE ». Azerbaijan Chemical Journal, no 4 (12 décembre 2020) : 6–11. http://dx.doi.org/10.32737/0005-2531-2020-4-6-11.

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The mathematical model has been developed for the process polymerization propylene proceeding under unsteady conditions due to the toxic effect of methylacetylene on it, leading to decrease of the productivity and quality of polypropylene. Non-stationary function to maintain the productivity at the optimum level obtained during the process in stationary conditions has been proposed. Using this mathematical model allow ones control the process, stabilize it at any time of the polymerization operation. The control scheme of algorithm of this process has been created
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Kukačka, Leoš, Jan Kraus, Milan Kolář, Pascal Dupuis et Georges Zissis. « Review of AC power theories under stationary and non-stationary, clean and distorted conditions ». IET Generation, Transmission & ; Distribution 10, no 1 (7 janvier 2016) : 221–31. http://dx.doi.org/10.1049/iet-gtd.2015.0713.

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Himani et Ratna Dahiya. « Condition monitoring of wind turbine for rotor fault detection under non stationary conditions ». Ain Shams Engineering Journal 9, no 4 (décembre 2018) : 2441–52. http://dx.doi.org/10.1016/j.asej.2017.04.002.

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DMITRIENKO, I. S. « Nonlinear non-stationary Alfvén resonance ». Journal of Plasma Physics 62, no 2 (août 1999) : 145–64. http://dx.doi.org/10.1017/s0022377899007758.

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For a cold plasma that is inhomogeneous (in the direction across an external homogeneous magnetic field), the nonlinear equation describing the spatial structure and temporal behaviour of a non-stationary disturbance in a resonance layer is obtained. The matching conditions for a disturbance through the resonance layer are obtained, and in the linear limit give a well-known linear matching. It is shown that the spatial and temporal behaviour of the resonance disturbance and the evolution of the resonant absorption in terms of nonlinear theory are determined by the ratio of the nonlinear to linear non-stationary spatial scales. The spatial–temporal profile of the disturbance in the resonance layer and the resonant absorption for different values of this ratio are calculated. A nonlinear decrease in the resonant absorption and a stratification of the resonance disturbance are revealed.
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Mashava, Destine, James Kuria Kimotho et Onesmus Mutuku Muvengei. « Gearbox Multiple Faults Diagnosis under Stationary and Non-Stationary Operating Conditions Using Convolutional Neural Networks ». Engineering Advances 2, no 1 (7 janvier 2022) : 1–17. http://dx.doi.org/10.26855/ea.2022.06.001.

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June, Wolfgang, et Andrea Polle. « Theory of proton flow along appressed thylakoid membranes under both non-stationary and stationary conditions ». Biochimica et Biophysica Acta (BBA) - Bioenergetics 848, no 3 (mars 1986) : 265–73. http://dx.doi.org/10.1016/0005-2728(86)90200-8.

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Cherniak, Gil, Jonathan Nemirovsky, Amikam Nemirovsky et Yael Nemirovsky. « Modeling Signal-to-Noise Ratio of CMOS Image Sensors with a Stochastic Approach under Non-Stationary Conditions ». Sensors 23, no 17 (23 août 2023) : 7344. http://dx.doi.org/10.3390/s23177344.

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A stochastic model for characterizing the conversion gain of Active Pixel Complementary metal–oxide–semiconductor (CMOS) image sensors (APS), assuming stationary conditions was recently presented in this journal. In this study, we extend the stochastic approach to non-stationary conditions. Non-stationary conditions occur in gated imaging applications. This new stochastic model, which is based on fundamental physical considerations, enlightens us with new insights into gated CMOS imaging, regardless of the sensor. The Signal-to-Noise Ratio (SNR) is simulated, allowing optimized performance. The conversion gain should be determined under stationary conditions.
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15

Pakdel, Hadis, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam et Majid Vazifedoust. « A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia ». ISPRS International Journal of Geo-Information 12, no 9 (6 septembre 2023) : 370. http://dx.doi.org/10.3390/ijgi12090370.

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The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is urgent. The aim of this paper is to develop a framework using the geeSEBAL platform, Generalised Extreme Value (GEV) models and spatiotemporal analysis techniques that incorporate the physical system in terms of cause and effect. Firstly, the geeSEBAL platform has enabled the estimation of actual evapotranspiration (ETa) with an unprecedented level of spatial-temporal resolution. Following this, the Non-stationary Extreme Value Analysis (NEVA) approach employs the Bayesian method using a Differential Evolution Markov Chain technique to calculate the frequency and magnitude of extreme values across the parameter space. Station and global climate datasets have been used to analyse the spatial and temporal variation of rainfall, reference evapotranspiration (ETo), ETa and water storage (WS) variables in the Lockyer Valley located in Southeast Queensland (SEQ), Australia. Frequency analysis of rainfall, ETa, and water storage deficit for 14 stations were performed using a GEV distribution under stationary and non-stationary assumptions. Comparing the ETa, ETo and ERA5 rainfall with station data showed reasonable agreement as follows: Pearson correlation of 0.59–0.75 for ETa, RMSE of 45.23–58.56 mm for ETa, Pearson correlation of 0.96–0.97 for ETo, RMSE of 73.13–87.73 mm for ETo and Pearson correlation of 0.87–0.92 for rainfall and RMSE of 37.53–57.10 mm for rainfall. The lower and upper uncertainty bounds between stationary and non-stationary conditions for rainfall station data of Gatton varied from 550.98 mm (stationary) to 624.97 mm (non-stationary), and for ERA5 rainfall datasets, 441.30 mm (stationary) to 450.77 mm (non-stationary). The results demonstrate that global climate datasets underestimate the difference between stationary and non-stationary conditions by 9.47 mm compared to results of 73.99 mm derived from station data. Similarly, the results demonstrate less variation between stationary and non-stationary conditions in water storage, followed by a sharp variation in rainfall and moderate variation in evapotranspiration. The findings of this study indicate that neglecting the non-stationary condition in some hydrometeorological variables can lead to underestimating their amounts. This framework can be applied to any geographical area for estimating extreme conditions, providing valuable insights for infrastructure planning and design, risk assessment and disaster management.
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Kopeitsev, Viktor N., Mikhael E. Romash et Aleksei Y. Varaksin. « Tornado-like non-stationary vortices : experimental modelling under laboratory conditions ». Natural Science 03, no 11 (2011) : 907–13. http://dx.doi.org/10.4236/ns.2011.311116.

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17

Belous, A. N., G. A. Kotov, D. A. Sapronov et B. A. Novikov. « DETERMINATION OF HEAT TRANSFER RESISTANCE IN NON-STATIONARY THERMAL CONDITIONS ». Vestnik Tomskogo gosudarstvennogo arkhitekturno-stroitel'nogo universiteta. JOURNAL of Construction and Architecture 22, no 6 (29 décembre 2020) : 83–93. http://dx.doi.org/10.31675/1607-1859-2020-22-6-83-93.

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One of the main normalized heat engineering indicators of enclosing structures is the resistance to heat transfer. On the territory of the CIS countries there are a huge number of real estate objects designed and built in accordance with outdated standards for the consumption of heat energy for heating and ventilation, requirements for the heat-protective shell of buildings, which leads to energy overspending. All real estate objects put into operation before the tightening of the above-mentioned standards require determining the actual thermal characteristics of the enclosing structures and bringing them into compliance with the current legislation. The article analyzes existing methods for determining the heat transfer resistance of enclosing structures in full-scale conditions, and identifies the advantages and disadvantages of these methods. Based on the fundamental research of construction Thermophysics, a mathematical model for determining the resistance to heat transfer in full-scale conditions is proposed, taking into account the shortcomings of existing methods.
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18

Martinsson, J. « Compensating distortion effects in repeated measurements under non-stationary conditions ». Measurement Science and Technology 20, no 2 (17 décembre 2008) : 025103. http://dx.doi.org/10.1088/0957-0233/20/2/025103.

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19

Diez-Ibarbia, A., A. Fernandez-del-Rincon, P. Garcia et F. Viadero. « Gear rattle dynamics under non-stationary conditions : The lubricant role ». Mechanism and Machine Theory 151 (septembre 2020) : 103929. http://dx.doi.org/10.1016/j.mechmachtheory.2020.103929.

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20

Varaksin, A. Y. « Modeling air and fire non-stationary whirls in laboratory conditions ». Journal of Physics : Conference Series 980 (mars 2018) : 012019. http://dx.doi.org/10.1088/1742-6596/980/1/012019.

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21

Rosero García, Javier, José Luis Romeral et Esteban Rosero García. « Detecting eccentricity faults in a PMSM in non-stationary conditions ». Ingeniería e Investigación 32, no 1 (1 janvier 2012) : 5–10. http://dx.doi.org/10.15446/ing.investig.v32n1.28512.

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Permanent magnet alternating current machines are being widely used in applications demanding high and rugged performance, such as industrial automation and the aerospace and automotive industries. This paper presents a study of a permanent magnet synchronous machine (PMSM) running in eccentricity; these machines' condition monitoring and fault detection would provide added value and they are also assuming growing importance. This paper investigates the effect of eccentricity faults on PMSM motors' current spectrum with a view to developing an effective condition-monitoring scheme using two-dimensional (2-D) finite element analysis (FEA). Stator current induced harmonics were investigated for fault conditions and advanced signal analysis involved continuous and discrete wavelet transforms. Simulation and experimental results are presented to substantiate that the proposed method worked over a wide speed range for motor operation and that it provided an effective tool for diagnosing PMSM operating condition.
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22

Silvestrini, Paolo. « Temperature dependence of macroscopic quantum effects in non-stationary conditions ». Physics Letters A 152, no 5-6 (janvier 1991) : 306–10. http://dx.doi.org/10.1016/0375-9601(91)90112-l.

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23

Mo, Chongxun, Changhao Jiang, Xingbi Lei, Weiyan Cen, Zhiwei Yan, Gang Tang, Lingguang Li, Guikai Sun et Zhenxiang Xing. « Optimal Scheduling of Reservoir Flood Control under Non-Stationary Conditions ». Sustainability 15, no 15 (25 juillet 2023) : 11530. http://dx.doi.org/10.3390/su151511530.

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To improve reservoir flood control and scheduling schemes under changing environmental conditions, we established an adaptive reservoir regulation method integrating hydrological non-stationarity diagnosis, hydrological frequency analysis, design flood calculations, and reservoir flood control optimization scheduling and applied it to the Chengbi River Reservoir. The results showed that the peak annual flood sequence and the variation point of the annual maximum 3-day flood sequence of the Chengbi River Reservoir was in 1979, and the variation point of the annual maximum 1-day flood sequence was in 1980. A mixed distribution model was developed via a simulated annealing algorithm, hydrological frequency analysis was carried out, and a non-stationary design flood considering the variation point was obtained according to the analysis results; the increases in the flood peak compared to the original design were 4.00% and 8.66%, respectively. A maximum peak reduction model for optimal reservoir scheduling using the minimum sum of squares of the downgradient flow as the objective function was established and solved via a particle swarm optimization algorithm. The proposed adaptive scheduling scheme reduced discharge flow to 2661 m3/s under 1000-year flood conditions, and the peak reduction rate reached 60.6%. Furthermore, the discharge flow was reduced to 2661 m3/s under 10,000-year flood conditions, and the peak reduction rate reached 65.9%.
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Ustinov, A. I., M. V. Kulinich et S. G. Kosintsev. « Influence of thermal contacts on heating aluminium plates under non-stationary heating conditions, using the SHS-process ». Paton Welding Journal 2023, no 10 (28 octobre 2023) : 18–23. http://dx.doi.org/10.37434/tpwj2023.10.03.

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Bartelmus, W., et R. Zimroz. « A new feature for monitoring the condition of gearboxes in non-stationary operating conditions ». Mechanical Systems and Signal Processing 23, no 5 (juillet 2009) : 1528–34. http://dx.doi.org/10.1016/j.ymssp.2009.01.014.

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Čiegis, R., A. Štikonas, O. Štikoniene et O. Suboč. « STATIONARY PROBLEMS WITH NONLOCAL BOUNDARY CONDITIONS ». Mathematical Modelling and Analysis 6, no 2 (15 décembre 2001) : 178–91. http://dx.doi.org/10.3846/13926292.2001.9637157.

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In this article a stationary problems with general nonlocal boundary conditions is considered. The differential problems and finite difference schemes for solving this problem are investigated. Stability estimates are proved in the maximum norm and the non‐negativity of the solution is investigated. All theoretical results are illustrated by representative examples.
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Lodetti, Stefano, Jorge Bruna, Julio J. Melero et José F. Sanz. « Wavelet Packet Decomposition for IEC Compliant Assessment of Harmonics under Stationary and Fluctuating Conditions ». Energies 12, no 22 (19 novembre 2019) : 4389. http://dx.doi.org/10.3390/en12224389.

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This paper presents the validation and characterization of a wavelet based decomposition method for the assessment of harmonic distortion in power systems, under stationary and non-stationary conditions. It uses Wavelet Packet Decomposition with Butterworth Infinite Impulse Response filters and a decomposition structure, which allows the measurement of both odd and even harmonics, up to the 63rd order, fully compliant with the requirements of the IEC 61000-4-7 standard. The method is shown to fulfil the IEC accuracy requirements for stationary harmonics, obtaining the same accuracy even under fluctuating conditions. Then, it is validated using simulated signals with real harmonic content. The proposed method is proven to be fully equivalent to Fourier analysis under stationary conditions, being often more accurate. Under non-stationary conditions, instead, it provides significantly higher accuracy, while the IEC strategy produces large errors. Lastly, the method is tested with real current and voltage signals, measured in conditions of high harmonic distortion. The proposed strategy provides a method with superior performance for fluctuating harmonics, but at the same time IEC compliant under stationary conditions.
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Solecki, William, et Cynthia Rosenzweig. « Climate Change, Extreme Events, and Hurricane Sandy : From Non-Stationary Climate to Non-Stationary Policy ». Journal of Extreme Events 01, no 01 (août 2014) : 1450008. http://dx.doi.org/10.1142/s2345737614500080.

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This paper illustrates and examines the development of a flexible climate adaptation approach and non-stationary climate policy in New York City in the post-Hurricane Sandy context. Extreme events, such as Hurricane Sandy, are presented as learning opportunities and create a policy window for outside-of-the-box solutions and experimentation. The research investigates the institutionalization of laws, standards, and codes that are required to reflect an increasingly dynamic set of local environmental stresses associated with climate change. The City of New York responded to Hurricane Sandy with a set of targeted adjustments to the existing infrastructure and building stock in a way that both makes it more resistant (i.e., strengthened) and resilient (i.e., responsive to stress) in the face of future extreme events. Post-Sandy New York experiences show that the conditions for a post-disaster flexible adaptation response exist, and evidence shows that the beginnings of a non-stationary policy generation process have been put into place. More broadly, post-disaster policy processes have been configured in New York to enable continuous co-production of knowledge by scientists and the community of decision-makers and stakeholders.
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FELLNER, KLEMENS, et GAËL RAOUL. « STABLE STATIONARY STATES OF NON-LOCAL INTERACTION EQUATIONS ». Mathematical Models and Methods in Applied Sciences 20, no 12 (décembre 2010) : 2267–91. http://dx.doi.org/10.1142/s0218202510004921.

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In this paper, we are interested in the large-time behaviour of a solution to a non-local interaction equation, where a density of particles/individuals evolves subject to an interaction potential and an external potential. It is known that for regular interaction potentials, stable stationary states of these equations are generically finite sums of Dirac masses. For a finite sum of Dirac masses, we give (i) a condition to be a stationary state, (ii) two necessary conditions of linear stability w.r.t. shifts and reallocations of individual Dirac masses, and (iii) show that these linear stability conditions imply local non-linear stability. Finally, we show that for regular repulsive interaction potential Wε converging to a singular repulsive interaction potential W, the Dirac-type stationary states [Formula: see text] approximate weakly a unique stationary state [Formula: see text]. We illustrate our results with numerical examples.
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Lukaševičs, Edmunds, et Ilmārs Kangro. « MATHEMATICAL MODELING OF DIFFUSION BOUNDARY PROBLEMS WITH PERIODIC BOUNDARY CONDITIONS USING MATLAB AND C++ FOR NUMERICAL AND ANALYTICAL SOLUTIONS ». HUMAN. ENVIRONMENT. TECHNOLOGIES. Proceedings of the Students International Scientific and Practical Conference, no 27 (30 octobre 2023) : 19–27. http://dx.doi.org/10.17770/het2023.27.7373.

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The article examines a second-order parabolic partial differential equation of a three-dimensional (3D) non-stationary boundary problem with constant diffusion coefficients and periodic boundary conditions in the x and y directions. The method for reducing the (3D) non-stationary boundary problem to the corresponding one-dimensional (1D) non-stationary boundary problem using periodic boundary conditions in the x and y directions is discussed. The stationary (analytical) solution of the obtained (1D) stationary boundary problem is also obtained. The numerical solutions of the 1D boundary problem are obtained using the Matlab package "pdepe" and the C++ programming language. As a practical application of the developed mathematical model, the article discusses calculating the concentration of heavy metal Ca in a peat layer based on the obtained experimental data (measurements).
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Ethridge, Don E., Sujit K. Roy et David W. Myers. « A Markov Chain Analysis of Structural Changes in the Texas High Plains Cotton Ginning Industry ». Journal of Agricultural and Applied Economics 17, no 2 (décembre 1985) : 11–20. http://dx.doi.org/10.1017/s0081305200025012.

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AbstractMarkov chain analysis of changes in the number and size of cotton gin firms in West Texas was conducted assuming stationary and non-stationary transition probabilities. Projections of industry structure were made to 1999 with stationary probability assumptions and six sets of assumed conditions for labor and energy costs and technological change in the non-stationary transition model. Results indicate a continued decline in number of firms, but labor, energy, and technology conditions alter the configuration of the structural changes.
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32

Krasnov, O. G., et O. K. Bogdanov. « VIBRATIONAL PROCESSES IN THE BALLAST LAYER UNDER NON-STATIONARY LOAD CONDITIONS ». World of Transport and Transportation 14, no 6 (28 décembre 2016) : 60–77. http://dx.doi.org/10.30932/1992-3252-2016-14-6-7.

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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT This article presents the results of experimental research of vibrational processes in the ballast layer at the depths of 100 mm and 200 mm below the sleeper sole under non-stationary loads caused by percussive interaction between the wheels with faults in the form of flat spots on the tread, and the rails. Dependencies are established of vibrational accelerations on the values of vertical percussive loads on the rail caused by faulty wheels. Keywords: railway track, vibrational processes, non-stationary loading, percussive forces, accelerations, crushed stone fragments, ballast layer, wheel faults.
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Sadeghi Loyeh, Nazanin, et Alireza Massah Bavani. « Daily maximum runoff frequency analysis under non-stationary conditions due to climate change in the future period : Case study Ghareh Sou basin ». Journal of Water and Climate Change 12, no 5 (8 janvier 2021) : 1910–29. http://dx.doi.org/10.2166/wcc.2021.074.

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Abstract The frequency analysis of the maximum instantaneous flood is mostly based on the stationary assumption. The purpose of the present study is to compare the results of maximum instantaneous flood analysis under stationary and non-stationary conditions in Ghareh Sou basin, and also answer the question as to whether there is a difference between estimating the return period of maximum instantaneous flood in stationary and non-stationary conditions. First, the values of the temperature, wind speed, and rainfall of the study area under the two scenarios of Representative Concentration Pathway (RCP) 2.6 and 8.5 of the Hadley Centre coupled Model, version3 (HadCM3) model were downscaled. In the following, the Variable Infiltration Capacity (VIC) model was utilized to generate daily runoff. For converting the daily discharge to the maximum instantaneous flood, four methods of Fuller, Sangal, Fill Steiner, and artificial neural network (ANN) were compared. Finally, the maximum instantaneous floods of the future period were introduced to the Non-stationary Extreme Value Analysis (NEVA) software. Based on the results obtained from the research, the lack of considering the non-stationary conditions in the flood frequency analysis can result in underestimating the maximum instantaneous flood, which can also provide more risks for the related hydraulic structures.
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Gomez, Jonatan, et Andres Rivera. « Non-Stationary Stochastic Global Optimization Algorithms ». Algorithms 15, no 10 (29 septembre 2022) : 362. http://dx.doi.org/10.3390/a15100362.

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Studying the theoretical properties of optimization algorithms such as genetic algorithms and evolutionary strategies allows us to determine when they are suitable for solving a particular type of optimization problem. Such a study consists of three main steps. The first step is considering such algorithms as Stochastic Global Optimization Algorithms (SGoals ), i.e., iterative algorithm that applies stochastic operations to a set of candidate solutions. The second step is to define a formal characterization of the iterative process in terms of measure theory and define some of such stochastic operations as stationary Markov kernels (defined in terms of transition probabilities that do not change over time). The third step is to characterize non-stationary SGoals , i.e., SGoals having stochastic operations with transition probabilities that may change over time. In this paper, we develop the third step of this study. First, we generalize the sufficient conditions convergence from stationary to non-stationary Markov processes. Second, we introduce the necessary theory to define kernels for arithmetic operations between measurable functions. Third, we develop Markov kernels for some selection and recombination schemes. Finally, we formalize the simulated annealing algorithm and evolutionary strategies using the systematic formal approach.
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Viloria-Marimón, Orlando M., Álvaro González-Álvarez et Javier A. Mouthón-Bello. « Analysis of the Behavior of Daily Maximum Rainfall within the Department of Atlántico, Colombia ». Water 11, no 12 (22 novembre 2019) : 2453. http://dx.doi.org/10.3390/w11122453.

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In the Colombian Caribbean region, there are few studies that evaluated the behavior of one of the most commonly used variables in hydrological analyses: the maximum daily rainfall (Pmax-24h). In this study, multiannual Pmax-24h time series from 19 rain gauges, located within the department of Atlántico, were analyzed to (a) determine possible increasing/decreasing trends over time, (b) identify regions with homogeneous behavior of Pmax-24h, (c) assess whether the time series are better suited under either a stationary or non-stationary frequency analysis, (d) generate isohyetal maps under stationary, non-stationary, and mixed conditions, and (e) evaluate the isohyetal maps by means of the calculation of areal rainfall (Pareal) in nine watersheds. In spite of the presence of both increasing and decreasing trends, only the Puerto Giraldo rain gauge showed a significant decreasing trend. Also, three regions (east, central, and west) with similar Pmax-24h behavior were identified. According to the Akaike information criterion test, 79% of the rain gauges showed better fit under stationary conditions. Finally, statistical analysis revealed that, under stationary conditions, the errors in the calculation of Pareal were more frequent, while the magnitude of the errors was larger under non-stationary conditions, especially in the central–south region.
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Blain, Gabriel Constantino. « Modeling extreme minimum air temperature series under climate change conditions ». Ciência Rural 41, no 11 (novembre 2011) : 1877–83. http://dx.doi.org/10.1590/s0103-84782011001100005.

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Considering the presence of non-stationary components, such as trends, in the extreme minimum air temperature series available from three locations of the State of São Paulo-Brazil, the aim of this research was to describe the probabilistic structure of this variable by using a non-stationary model (based on the general extreme value distribution; GEV model) in which the parameters are estimated as a function of time covariate. The Mann-Kendall test has proven the presence of significant increasing trends in all analyzed series. Furthermore, according to the Pettitt (changing-point) test, 1991 is the initial year of these trends (in the three locations). The applied selection criteria indicated that a GEV model in which the location parameter is estimated as a function of time is recommended to describe the probability structure of the variable under evaluation. The others two parameters of this model remained time-independent. According to this non-stationary model, the detected trends in the climate conditions of these locations have shown the same rate of change (0.04°C per year).
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Vuppalapati, Navya, et T. G. Venkatesh. « Modeling & ; analysis of software defined networks under non-stationary conditions ». Peer-to-Peer Networking and Applications 14, no 3 (2 février 2021) : 1174–89. http://dx.doi.org/10.1007/s12083-020-01026-w.

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Isensee, Leandro José, Adilson Pinheiro et Daniel Henrique Marco Detzel. « Dam Hydrological Risk and the Design Flood Under Non-stationary Conditions ». Water Resources Management 35, no 5 (mars 2021) : 1499–512. http://dx.doi.org/10.1007/s11269-021-02798-3.

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39

Sereda, B. P., I. V. Kruglyak, D. B. Sereda et D. O. Kruglyak. « RECEIVING PROTECTING COATINGS ON BINDING ALLOYS FOR NON-STATIONARY TEMPERATURE CONDITIONS ». Collection of scholarly papers of Dniprovsk State Technical University (Technical Sciences) 2, no 33 (10 février 2019) : 45–48. http://dx.doi.org/10.31319/2519-2884.33.2018.196.

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Palau, J. L., G. Pérez-Landa et M. M. Millán. « Concatenated non-stationary dispersive scenarios on complex terrain under summer conditions ». Atmospheric Chemistry and Physics Discussions 8, no 3 (5 juin 2008) : 10841–72. http://dx.doi.org/10.5194/acpd-8-10841-2008.

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Abstract. The results and discussions presented in this paper arise from a statistically representative study of the physical processes associated with the multimodal distribution of pollutants aloft and around a 343-m-tall chimney under summer conditions in the Iberian Peninsula. The indetermination of a transversal plume to the preferred transport direction during transitional periods implies a small (or null) physical significance of the classical definition of horizontal standard deviation of the concentration distribution. By experimentation and modelling, this paper analyses the atmospheric dispersion of the SO2 emissions from a power plant on complex terrain, describing the main dispersion features as an ensemble of "stationary dispersive scenarios" and reformulating some "classical" dispersive concepts to deal with the systematically monitored summer dispersive scenarios in inland Spain.
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Vu, Thi Thu Nga, Gilbert Teyssedre et Séverine Le Roy. « Electric Field Distribution in HVDC Cable Joint in Non-Stationary Conditions ». Energies 14, no 17 (30 août 2021) : 5401. http://dx.doi.org/10.3390/en14175401.

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Accessories such as joints and terminations represent weak points in HVDC cable systems. The DC field distribution is intimately dependent on the thermal conditions of the accessory and on material properties. Moreover, there is no available method to probe charge distribution in these conditions. In this work, the field distribution in non-stationary conditions, both thermally and electrically, is computed considering crosslinked polyethylene (XLPE) as cable insulation and different insulating materials (silicone, rubber, XLPE) for a 200 kV joint assembled in a same geometry. In the conditions used, i.e., temperatures up to 70 °C, and with the material properties considered, the dielectric time constant appears of the same order or longer than the thermal one and is of several hours. This indicates that both physical phenomena need to be considered for modelling the electric field distribution. Both the radial and the tangential field distributions are analysed, and focus is given on the field distribution under the stress cone on the ground side and near the central deflector on the high voltage side of the joint. We show that the position of the maximum field varies in time in a way that is not easy to anticipate. Under the cone, the smallest tangential field is obtained with the joint insulating material having the highest electrical conductivity. This results from a shift of the field towards the cable insulation in which the geometrical features produce a weaker axial component of the field. At the level of the central deflector, it is clear that the tangential field is higher when the mismatch between the conductivity of the two insulations is larger. In addition, the field grows as a function of time under stress. This work shows the need of precise data on materials conductivity and the need of probing field distribution in 3D.
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Yusubov, F. V., I. A. Aliyev et S. N. Guliyeva. « Study of adsorption separation of gas mixtures under non-stationary conditions ». Theoretical and Applied Ecology, no 2 (25 juin 2024) : 101–7. http://dx.doi.org/10.25750/1995-4301-2024-2-101-107.

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The influence of the initial concentration, rate and temperature of adsorption on the adsorption separation of gas mixtures (CO2, CH4, N2, H2S) is investigated. Components: N2 – 5%, H2S – 5%, CO2 – 5% and CH4 – 85%. And as an adsorbent granule of clinoptilolite of irregular shape were used. Isothermal adsorption of CO2 was obtained at different temperatures (293, 313, and 323 K). The obtained isotherms of CO2 adsorption showed that with an increase in temperature, the adsorption of CO2 decreased. The type of isotherms corresponds to Langmuir. The output curves of gas mixture adsorption depending on the gas flow rate and various main components of CO2 were also experimentally studied. The output curves of the adsorption of the CO2 component were studied at various gas flow rates of 20, 50, and 80 mL/min. Equilibrium time increases with a decrease in the gas flow rate. Output curves were also obtained depending on the initial CO2 concentrations of 5%, 10% and 20%. It was determined that with a decrease in the initial concentration of CO2, the equilibrium time also increases. Gas mixture components sorbed downwards: H2S→CO2→CH4→N2. The resulting system of model equations describing the adsorption separation of gas mixtures in a fixed adsorbent layer represents a complete mathematical model of the process under unsteady conditions. The obtained regularities of the process of adsorption of gas mixtures testify to the fact that the process takes place under non-stationary conditions. The proposed models for the optimal design of industrial absorbers can be used for adsorption separation of gas mixtures in the conditions of their unsteady flow.
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Idehara, Sérgio Junichi, et Milton Dias Junior. « Modal analysis of rotors with whirling motion under non-stationary conditions ». Journal of Sound and Vibration 481 (septembre 2020) : 115445. http://dx.doi.org/10.1016/j.jsv.2020.115445.

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Louah, Gérard, et Jean-Marc Morin. « A Problem with Stochastic Traffic Simulation Programs Under Non-Stationary Conditions ». IFAC Proceedings Volumes 30, no 8 (juin 1997) : 895–900. http://dx.doi.org/10.1016/s1474-6670(17)43935-8.

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Conti, Costanza, et Lucia Romani. « Algebraic conditions on non-stationary subdivision symbols for exponential polynomial reproduction ». Journal of Computational and Applied Mathematics 236, no 4 (septembre 2011) : 543–56. http://dx.doi.org/10.1016/j.cam.2011.03.031.

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Afonin, M. A., A. A. Kopyrin et A. A. Fomichev. « Kinetic model of actinides and lanthanides extraction in non-stationary conditions ». Journal of Alloys and Compounds 444-445 (octobre 2007) : 554–56. http://dx.doi.org/10.1016/j.jallcom.2007.03.083.

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Kopyrin, A. A., M. A. Afonin et T. Todd. « Separation of similar elements and isotopes separation in non-stationary conditions ». Journal of Alloys and Compounds 444-445 (octobre 2007) : 614–17. http://dx.doi.org/10.1016/j.jallcom.2007.04.226.

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Dudek, Sylwia, Piotr Kalita et Stanisław Migórski. « Stationary flow of non-Newtonian fluid with nonmonotone frictional boundary conditions ». Zeitschrift für angewandte Mathematik und Physik 66, no 5 (25 juin 2015) : 2625–46. http://dx.doi.org/10.1007/s00033-015-0545-7.

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Nosrati, Hamed, Mousa Shamsi, Sayed Mostafa Taheri et Mohammad Hossein Sedaaghi. « Adaptive Networks Under Non-Stationary Conditions : Formulation, Performance Analysis, and Application ». IEEE Transactions on Signal Processing 63, no 16 (août 2015) : 4300–4314. http://dx.doi.org/10.1109/tsp.2015.2436363.

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Kowalski, S. J., et J. Szadzińska. « Kinetics and Quality Aspects of Beetroots Dried in Non-Stationary Conditions ». Drying Technology 32, no 11 (10 juillet 2014) : 1310–18. http://dx.doi.org/10.1080/07373937.2014.915555.

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