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Journal articles on the topic 'Stationary Power'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Good, Michael R. R., Maksat Temirkhan, and Thomas Oikonomou. "Stationary Worldline Power Distributions." International Journal of Theoretical Physics 58, no. 9 (June 24, 2019): 2942–68. http://dx.doi.org/10.1007/s10773-019-04176-7.

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2

Rambuyan, Rogelio. "Fabricating Stationary Solar Power Generator." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 1.3 (June 25, 2020): 235–39. http://dx.doi.org/10.30534/ijatcse/2020/3591.32020.

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3

Williams, R. H., and E. D. Larson. "Aeroderivative Turbines for Stationary Power." Annual Review of Energy 13, no. 1 (November 1988): 429–89. http://dx.doi.org/10.1146/annurev.eg.13.110188.002241.

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4

Gitik, Moti, and Carmi Merimovich. "Power function on stationary classes." Annals of Pure and Applied Logic 140, no. 1-3 (July 2006): 75–103. http://dx.doi.org/10.1016/j.apal.2005.09.004.

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5

Weiner, Scott A. "Fuel cell stationary power business development." Journal of Power Sources 71, no. 1-2 (March 1998): 61–64. http://dx.doi.org/10.1016/s0378-7753(97)02787-0.

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6

Leo, Anthony, D. Brdar, C. Bentley, B. Ludemann, Mohammad Farooque, P. Oei, and Anthony Rauseo. "Stationary DFC® Power Plants Status." ECS Transactions 12, no. 1 (December 18, 2019): 729–35. http://dx.doi.org/10.1149/1.2921599.

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7

Gibson, A. A. P. "Stationary Power Method of Circuit Analysis." International Journal of Electrical Engineering & Education 31, no. 3 (July 1994): 230–36. http://dx.doi.org/10.1177/002072099403100305.

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Stationary power method of circuit analysis In the steady state, electrical LCR circuits with d.c. or a.c. signal sources can be studied using a stationary power principle. A straightforward analytic approach based on this principle is enunciated here. Some simple examples are provided for illustration.

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8

Kim, Gwangseob, Gichun Lee, and Beungkown Kim. "Estimates the Non-Stationary Probable Precipitation Using a Power Model." Journal of The Korean Society of Agricultural Engineers 56, no. 4 (July 31, 2014): 29–39. http://dx.doi.org/10.5389/ksae.2014.56.4.029.

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9

Mahnke, Reinhard, Jevgenijs Kaupužs, and Mārtiņš Brics. "Power Laws and Skew Distributions." Communications in Computational Physics 12, no. 3 (September 2012): 721–31. http://dx.doi.org/10.4208/cicp.010411.050811a.

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AbstractPower-law distributions and other skew distributions, observed in various models and real systems, are considered. A model, describing evolving systems with increasing number of elements, is considered to study the distribution over element sizes. Stationary power-law distributions are found. Certain non-stationary skew distributions are obtained and analyzed, based on exact solutions and numerical simulations.

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10

Li, Fang, Wei Chen, and Yishui Shui. "Analysis of Non-Stationarity for 5.9 GHz Channel in Multiple Vehicle-to-Vehicle Scenarios." Sensors 21, no. 11 (May 23, 2021): 3626. http://dx.doi.org/10.3390/s21113626.

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The vehicle-to-vehicle (V2V) radio channel is non-stationary due to the rapid movement of vehicles. However, the stationarity of the V2V channels is an important indicator of the V2V channel characteristics. Therefore, we analyzed the non-stationarity of V2V radio channels using the local region of stationarity (LRS). We selected seven scenarios, including three directions of travel, i.e., in the same, vertical, and opposite directions, and different speeds and environments in a similar driving direction. The power delay profile (PDP) and LRS were estimated from the measured channel impulse responses. The results show that the most important influences on the stationary times are the direction and the speed of the vehicles. The average stationary times for driving in the same direction range from 0.3207 to 1.9419 s, the average stationary times for driving in the vertical direction are 0.0359–0.1348 s, and those for driving in the opposite direction are 0.0041–0.0103 s. These results are meaningful for the analysis of the statistical characteristics of the V2V channel, such as the delay spread and Doppler spread. Small-scale fading based on the stationary times affects the quality of signals transmitted in the V2V channel, including the information transmission rate and the information error code rate.

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11

Kukačka, Leoš, Jan Kraus, Milan Kolář, Pascal Dupuis, and Georges Zissis. "Review of AC power theories under stationary and non-stationary, clean and distorted conditions." IET Generation, Transmission & Distribution 10, no. 1 (January 7, 2016): 221–31. http://dx.doi.org/10.1049/iet-gtd.2015.0713.

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12

MA Xi-qiang, 马喜强, 宋喜佳 Song Xi-jia, 刘维亚 LIU Wei-ya, and 郑喜凤 ZHENG Xi-feng. "Power-aware management for non-stationary service requests." Optics and Precision Engineering 22, no. 7 (2014): 1929–37. http://dx.doi.org/10.3788/ope.20142207.1929.

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13

Barndorff-Nielsen, Ole E., José Manuel Corcuera, and Mark Podolskij. "Power variation for Gaussian processes with stationary increments." Stochastic Processes and their Applications 119, no. 6 (June 2009): 1845–65. http://dx.doi.org/10.1016/j.spa.2008.09.004.

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14

Xu, Zhi gang, Zhan wen Liu, and Chang qing Zhang. "Fitting the power spectrum of stationary random sequence." International Journal of Information Technology and Management 19, no. 2/3 (2020): 118. http://dx.doi.org/10.1504/ijitm.2020.10027414.

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15

Zhang, Chang qing, Zhan wen Liu, and Zhi gang Xu. "Fitting the power spectrum of stationary random sequence." International Journal of Information Technology and Management 19, no. 2/3 (2020): 118. http://dx.doi.org/10.1504/ijitm.2020.106214.

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16

Dufour, Angelo U. "Fuel cells – a new contributor to stationary power." Journal of Power Sources 71, no. 1-2 (March 1998): 19–25. http://dx.doi.org/10.1016/s0378-7753(97)02732-8.

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17

Diongue, Abdou Kâ, and Dominique Guégan. "The stationary seasonal hyperbolic asymmetric power ARCH model." Statistics & Probability Letters 77, no. 11 (June 2007): 1158–64. http://dx.doi.org/10.1016/j.spl.2007.02.007.

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18

Leonowicz, Zbigniew. "Analysis of non‐stationary signals in power systems." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 23, no. 2 (June 2004): 381–91. http://dx.doi.org/10.1108/03321640410510550.

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19

Biswas, Anjan. "Quasi-stationary optical solitons with power law nonlinearity." Journal of Physics A: Mathematical and General 36, no. 16 (April 8, 2003): 4581–89. http://dx.doi.org/10.1088/0305-4470/36/16/308.

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20

Amara, Jomana, and David H. Papell. "Testing for Purchasing Power Parity using stationary covariates." Applied Financial Economics 16, no. 1-2 (January 2006): 29–39. http://dx.doi.org/10.1080/09603100500389374.

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21

Wang, Fu-Cheng, Po-Chen Kuo, and Hsueh-Ju Chen. "Control design and power management of a stationary PEMFC hybrid power system." International Journal of Hydrogen Energy 38, no. 14 (May 2013): 5845–56. http://dx.doi.org/10.1016/j.ijhydene.2013.03.021.

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22

Česnik, Martin, Janko Slavič, Lorenzo Capponi, Massimiliano Palmieri, Filippo Cianetti, and Miha Boltežar. "The relevance of non-stationarities and non-Gaussianities in vibration fatigue." MATEC Web of Conferences 165 (2018): 10011. http://dx.doi.org/10.1051/matecconf/201816510011.

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In classical fatigue of materials, the frequency contents of dynamic loading are well below the natural frequencies of the observed structure or test specimen. However, when dealing with vibration fatigue the frequency contents of dynamic loading and structure's dynamic response overlap, resulting in amplified stress loads of the structure. For such cases, frequency counting methods are especially convenient. Gaussianity and stationarity assumptions are applied in frequency-domain methods for obtaining dynamic structure's response and frequency-domain methods for calculating damage accumulation rate. Since it is common in real environments for the structure to be excited with non-Gaussian and non-stationary loads, this study addresses the effects of such dynamic excitation to experimental time-to-failure of a structure. Initially, the influence of non-Gaussian stationary excitation is experimentally studied via excitation signals with equal power density spectrum and different values of kurtosis. Since no relevant changes of structure's time-to-failure were observed, the study focused on non-stationary excitation signals that are also inherently non-Gaussian. The non-stationarity of excitation was achieved by amplitude modulation and significantly shorter times-to-failure were observed when compared to experiments with stationary non-Gaussian excitation. Additionally, the structure's time-to-failure varied with the rate of the amplitude modulation. To oversee this phenomenon the presented study proposes a non-stationarity index which can be obtained from the excitation time history. The non-stationarity index was experimentally confirmed as a reliable estimator for severity of non-stationary excitation. The non-stationarity index is used to determine if the frequencydomain methods can safely be applied for time-to-failure calculation.

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23

Wojaczek, Antoni. "Structures and Opportunities to Supply the Telecommunication Systems in Underground Mines." Archives of Mining Sciences 61, no. 2 (June 1, 2016): 323–34. http://dx.doi.org/10.1515/amsc-2016-0024.

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Abstract Telecommunication systems in underground mines require reliable power supply both of stationary and underground devices. Special problems connected with power supply occur in a case when subscriber devices are located in explosion hazard areas. The paper presents the basic problems connected with power supply of stationary elements of safety systems as well as subscriber devices located in explosion hazard areas that are significantly distant from stationary elements. Acceptable methods of supplying the subscribers devices under technical environment conditions of mine undergrounds have been determined.

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24

Cigolotti, Viviana, Matteo Genovese, and Petronilla Fragiacomo. "Comprehensive Review on Fuel Cell Technology for Stationary Applications as Sustainable and Efficient Poly-Generation Energy Systems." Energies 14, no. 16 (August 13, 2021): 4963. http://dx.doi.org/10.3390/en14164963.

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Fuel cell technologies have several applications in stationary power production, such as units for primary power generation, grid stabilization, systems adopted to generate backup power, and combined-heat-and-power configurations (CHP). The main sectors where stationary fuel cells have been employed are (a) micro-CHP, (b) large stationary applications, (c) UPS, and IPS. The fuel cell size for stationary applications is strongly related to the power needed from the load. Since this sector ranges from simple backup systems to large facilities, the stationary fuel cell market includes few kWs and less (micro-generation) to larger sizes of MWs. The design parameters for the stationary fuel cell system differ for fuel cell technology (PEM, AFC, PAFC, MCFC, and SOFC), as well as the fuel type and supply. This paper aims to present a comprehensive review of two main trends of research on fuel-cell-based poly-generation systems: tracking the market trends and performance analysis. In deeper detail, the present review will list a potential breakdown of the current costs of PEM/SOFC production for building applications over a range of production scales and at representative specifications, as well as broken down by component/material. Inherent to the technical performance, a concise estimation of FC system durability, efficiency, production, maintenance, and capital cost will be presented.

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25

Wodyk, Sebastian, and Grzegorz Iwanski. "Control of Three-Phase Power Electronic Converter With Power Controllers in Stationary Frame." IEEE Transactions on Industry Applications 56, no. 5 (September 2020): 5257–68. http://dx.doi.org/10.1109/tia.2020.3009311.

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26

Ogbonna, Chukwudi Justin, C. Jeol Nweke, Eleazer C. Nwogu, and Iheanyi Sylvester Iwueze. "Wavelet Transform as an Alternative to Power Transformation in Time Series Analysis." Bulletin of Mathematical Sciences and Applications 17 (November 2016): 57–74. http://dx.doi.org/10.18052/www.scipress.com/bmsa.17.57.

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This study examines the discrete wavelet transform as a transformation technique in the analysis of non-stationary time series while comparing it with power transformation. A test for constant variance and choice of appropriate transformation is made using Bartlett’s test for constant variance while the Daubechies 4 (D4) Maximal Overlap Discrete Wavelet Transform (DWT) is used for wavelet transform. The stationarity of the transformed (power and wavelet) series is examined with Augmented Dickey-Fuller Unit Root Test (ADF). The stationary series is modeled with Autoregressive Moving Average (ARMA) Model technique. The model precision in terms of goodness of fit is ascertained using information criteria (AIC, BIC and SBC) while the forecast performance is evaluated with RMSE, MAD, and MAPE. The study data are the Nigeria Exchange Rate (2004-2014) and the Nigeria External Reserve (1995-2010). The results of the analysis show that the power transformed series of the exchange rate data admits a random walk (ARIMA (0, 1, 0)) model while its wavelet equivalent is adequately fitted to ARIMA (1,1,0). Similarly, the power transformed version of the External Reserve is adequately fitted to ARIMA (3, 1, 0) while its wavelet transform equivalent is adequately fitted to ARIMA (0, 1, 3). In terms of model precision (goodness - of - fit), the model for the power transformed series is found to have better fit for exchange rate data while model for wavelet transformed series is found to have better fit for external reserve data. In forecast performance, the model for wavelet transformed series outperformed the model for power transformed series. Therefore, we recommend that wavelet transform be used when time series data is non-stationary in variance and our interest is majorly on forecast.

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27

Maksymenko, T. A., A. V. Loyan, and N. N. Koshelev. "Probe diagnostics of low-power stationary plasma thruster plume." Kosmìčna nauka ì tehnologìâ 11, no. 1s (2005): 24–27. http://dx.doi.org/10.15407/knit2005.01s.024.

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28

Munteanu, Iulian, Antoneta Iuliana Bratcu, and Laurenţiu Frangu. "Nonlinear Control for Stationary Optimization of Wind Power Systems." IFAC Proceedings Volumes 37, no. 19 (October 2004): 195–200. http://dx.doi.org/10.1016/s1474-6670(17)30682-1.

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29

Evdokimov, S. A., Yu N. Kondrashova, O. I. Karandaeva, and M. S. Gallyamova. "Stationary System for Monitoring Technical State of Power Transformer." Procedia Engineering 150 (2016): 18–25. http://dx.doi.org/10.1016/j.proeng.2016.07.270.

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30

Joo, Taehwan, Hongtak Lee, Sunbo Shim, and Songcheol Hong. "CMOS RF Power Amplifier for UHF Stationary RFID Reader." IEEE Microwave and Wireless Components Letters 20, no. 2 (February 2010): 106–8. http://dx.doi.org/10.1109/lmwc.2009.2038552.

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31

Staltsov, V. V., V. A. Makhlai, V. V. Chebotarev, and N. V. Kulik. "Plasma Injectors for Quasi-Stationary High-Power Plasmodynamic Systems." Instruments and Experimental Techniques 62, no. 4 (August 6, 2019): 522–27. http://dx.doi.org/10.1134/s0020441219030242.

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32

Biswas, Anjan. "Quasi-stationary optical solitons with dual-power law nonlinearity." Optics Communications 235, no. 1-3 (May 2004): 183–94. http://dx.doi.org/10.1016/j.optcom.2004.01.075.

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33

Bugrova, A. I., G. E. Bugrov, V. A. Davydov, A. V. Desyatskov, M. V. Kozintseva, A. S. Lipatov, A. A. Safronov, et al. "Experimental investigation of a low-power stationary plasma thruster." Technical Physics Letters 40, no. 1 (January 2014): 81–83. http://dx.doi.org/10.1134/s1063785014010179.

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34

Hooghiemstra, Gerard, Michael Keane, and Simon Van De Ree. "Power Series for Stationary Distributions of Coupled Processor Models." SIAM Journal on Applied Mathematics 48, no. 5 (October 1988): 1159–66. http://dx.doi.org/10.1137/0148069.

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35

Sivaramaiah, G., and V. R. Subramanian. "Lead/acid stationary batteries for power sector in India." Journal of Power Sources 28, no. 1-2 (November 1989): 201–5. http://dx.doi.org/10.1016/0378-7753(89)80094-1.

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36

Wang, Hao, and Xiao Mei Shi. "The Time Domain Simulation of Non-Stationary Road Roughness." Applied Mechanics and Materials 423-426 (September 2013): 1238–42. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.1238.

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The input of road roughness, which affects the ride comfort and the handling stability of vehicle, is the main excitation for the running vehicle. The time history of the road roughness was researched with the random phases, based on the stationary power spectrum density of the road roughness determined by the standards. Through the inverse Fourier transform, the random phases can be used to get the road roughness in time domain, together with the amplitude. Then, the time domain simulation of the non-stationary random excitation when the vehicle ran at the changing speed, would also be studied based on the random phases. It is proved that the random road excitation for the vehicle with the changing speed is stationary modulated evolution random excitation, and its power spectrum density is the stationary modulated evolutionary power spectrum density. And the numerical results for the time history of the non-stationary random inputs were also provided. The time history of the non-stationary random road can be used to evaluate the ride comfort of the vehicle which is running at the changing speed.

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37

Verdejo, Humberto, Wolfgang Kliemann, and Luis Vargas. "Performance of Power Systems under Sustained Random Perturbations." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/432548.

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This paper studies linear systems under sustained additive random perturbations. The stable operating point of an electric power system is replaced by an attracting stationary solution if the system is subjected to (small) random additive perturbations. The invariant distribution of this stationary solution gives rise to several performance indices that measure how well the system copes with the randomness. These indices are introduced, showing how they can be used for the optimal tuning of system parameters in the presence of noise. Results on a four-generator two-area system are presented and discussed.

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38

Shen, Xin, and Mark J. Holmes. "Are stock prices stationary? Some new evidence from a panel data approach." Studies in Economics and Finance 31, no. 4 (September 30, 2014): 387–405. http://dx.doi.org/10.1108/sef-09-2012-0106.

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Purpose – This paper investigates whether mean reversion holds for a panel of 16 OECD stock price indices for the period 1970 to 2011. Design/methodology/approach – We employ seemingly unrelated regression (SUR)-based linear and non-linear unit root tests which are not only able to exploit the power of panel data analysis but also account for cross sectional dependencies as well as identify which panel members are stationary. Findings – In contrast to a literature that offers mixed findings on stationarity, it was found that most of our sample is characterized as mean- or trend-reverting with approximated half-lives in the region of three to five years. Originality/value – In contrast to other panel unit root tests of stock prices, the authors identify which individual panel members are stationary and non-stationary using a SURADF test. A further novelty of our approach is that we also develop a SUR-based panel KSS test that allows us to explore the possibility that stock prices exhibit non-linear stationarity.

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39

Chen, Han Li, and Tao Qin. "Study on the Date Generation Process of Chinese Thermal Power." Applied Mechanics and Materials 128-129 (October 2011): 1234–37. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.1234.

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In China, the thermal power is the main structure of power source. We consider that analysis thermal power’s date generation process is very important to precise planning of thermal power and whole electricity market. For testing the impact of inspection and external factors on thermal power, we study date generation process of thermal power by structural change model that carry unit root test and trend stationary test. This conclusion indicates that thermal power’s date generation process is the unit root process of structure change and isn’t trending stationary process.

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40

Bonisławski, Michał, Marcin HOŁUB, Tadeusz Borkowski, and Przemysław Kowalak. "A Novel Telemetry System for Real Time, Ship Main Propulsion Power Measurement." Sensors 19, no. 21 (November 2, 2019): 4771. http://dx.doi.org/10.3390/s19214771.

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Modern ships are required to increase the energy efficiency and minimize fuel consumption. This paper presents the construction, main properties and exemplary measurement results of a novel system intended for main shaft power monitoring. The telemetry system consists of the stationary part, responsible for wireless supply energy transfer to the rotating part. Additional functions of the stationery unit include radio-based, bidirectional communication with the rotating, microcontroller-based unit, and Modbus-based communication with the graphical user interface. The non-stationary (rotating) part receives the necessary energy using the wireless transmission and performs the torque and speed measurement using strain gauge and a special setup of the wireless energy system. A novel system of flexible printed circuit board (PCB) coils is used for wireless energy transmission and increases the flexibility of the device while minimizing the necessary size, weight, and costs of the setup. The microcontroller unit used for measurements allows proper sampling of highly dynamic signals and can be used for advanced drive system diagnostics or as a typical power monitoring device. Such unit was installed on a ferry and operation was monitored for several sea trips. Main results depict characteristic power data referenced to vessel speed and specific fuel oil consumption (SFOC). Proposed system construction allows to reduce system costs and provides stable readings for long period of operation.

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41

Rudsits, Briar L., Will G. Hopkins, Christophe A. Hautier, and David M. Rouffet. "Force-velocity test on a stationary cycle ergometer: methodological recommendations." Journal of Applied Physiology 124, no. 4 (April 1, 2018): 831–39. http://dx.doi.org/10.1152/japplphysiol.00719.2017.

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Force-velocity tests performed on stationary cycle ergometers are widely used to assess the torque- and power-generating capacities of the lower limbs. The aim of this study was to identify how testing and modeling procedures influence the assessment of individual torque-cadence and power-cadence relationships. Seventeen males completed 62 ± 16 pedal cycles from six 6-s all-out efforts interspersed with 5 min of rest. True measures of maximal power for a particular cadence were obtained for 24 ± 3 pedal cycles, while power was only 94 ± 3% of the true maximum in 19 ± 5 pedal cycles. Pedal cycles showing maximal levels of power also displayed higher levels of electromyography (EMG: 89 ± 7 vs . 87 ± 7%) and coactivation (34 ± 11 vs . 31 ± 10 arbitrary units), as well as lower variability in crank torque and EMG profiles. Compared with the linear and second-order polynomial models that are traditionally used, a better goodness of fit was obtained when the torque-cadence and power-cadence relationships were predicted using second- and third-order polynomials, respectively. The later modeling procedures also revealed an asymmetry in the power-cadence relationship in most participants (i.e., 15 out of 17) and provided a better estimation of maximal cadence [Cmax: 214 ± 20 revolutions/min (rpm)] from the x-intercept of power-cadence relationships (C0: 214 ± 14 rpm). Therefore, we recommend predicting the individual shapes of torque- and power-cadence relationships using second- and third-order polynomial regressions after having selected pedal cycles during which true measures of cadence-specific maximal power were recorded. NEW & NOTEWORTHY This study is the first to demonstrate that suboptimal activation of the lower limb muscles accompanied reductions in cadence-specific levels of torque and power produced during a force-velocity test performed on a stationary cycle ergometer. This research is also the first to show that, in most noncyclist participants, torque-cadence relationships are not linear, whereas power-cadence relationships display asymmetric shapes, with power production decreasing rapidly when cadence increases beyond 180 revolutions/min.

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42

Rajashekara, Kaushik, and Akshay K. Rathore. "Power Conversion and Control for Fuel Cell Systems in Transportation and Stationary Power Generation." Electric Power Components and Systems 43, no. 12 (July 12, 2015): 1376–87. http://dx.doi.org/10.1080/15325008.2015.1034383.

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43

Linville, A. Frank, and Robert A. Meek. "Canceling stationary sinusoidal noise." GEOPHYSICS 57, no. 11 (November 1992): 1493–501. http://dx.doi.org/10.1190/1.1443216.

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Sinusoidal noise often contaminates seismic data. When this noise is large compared to seismic signals, it adversely affects prestack seismic processing and subsequent interpretation. We develop a digital least‐squares filtering algorithm for canceling stationary sinusoidal noise in seismic data. The method effectively cancels sinusoidal noise when the noise is stationary, which is typical for recordings of a few seconds in length. This procedure differs from the usual notch‐filtering techniques because the sinusoidal noise is canceled without notching the signal spectrum. Since the method requires that the line frequency be accurately known, the algorithm can automatically search the trace spectrum to find the exact sinusoidal frequency value needed for filter design. The algorithm is highly automated and requires no input parameters when the interference comes from power lines or generators. We use model and field data to quantify the algorithm’s performance.

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44

Ribeiro, Maria Eduarda, Taison Anderson Bortolin, Ludmilson Abritta Mendes, and Leonardo de Carvalho Souza Santa Rita. "Análise de Séries Hidrológicas na Bacia Hidrográfica afluente à Usina Hidrelétrica Castro Alves, RS." Revista Brasileira de Geografia Física 14, no. 4 (2021): 2042–58. http://dx.doi.org/10.26848/rbgf.v14.4.p2042-2058.

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This study aims to analyze the stationariety and homogeneity of rainfall and streamflow series of the contribution basin of Castro Alves Hydroeletric Power Plant, in Southern Brazil. The rainfall data were acquired from the Agência Nacional de Águas, and the average rainfall series was calculated for the period from 1945 to 2017. The streamflow data were acquired from the Operador Nacional do Sistema Elétrico covering a period from 1945 to 2017. The analysis were performed in the complete series and in two periods obtained from the same, referring to the period before and after 1970. Six statistical tests were used to check the stationarity: t-Student, F-Snedecor, Spearman Correlation Coefficent, Cox-Stuart, Mann-Whitney and Mann-Kendall. The verification of the point of change in the series of total annual precipitations, monthly totals and monthly average flows was performed using Pettitt’s test. The analysis results made it possible to conclude that the hydrological series are non-stationary. The period prior to 1970 was characterized as non-stationary. The period after 1970 showed significant signs of stationarity and homogeneity for both variables. Using the Pettitt test, a trend change was identified in the year 1971 and 1970 for the series of annual total precipitations and monthly mean flows, respectively. In the monthly analyzes of the series, it was found that the increase in the precipitated total was more accentuated in the dry months of May and November. This corroborates the more pronounced increase in the average monthly streamflow observed in those same months.

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45

Alibe, B. "Peak Wind Power Statistics." Journal of Energy Resources Technology 112, no. 3 (September 1, 1990): 170–73. http://dx.doi.org/10.1115/1.2905754.

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Probability distribution functions, mean upcrossing rates and other descriptors are developed for the power that can be potentially extracted from the wind. Wind power is proportional to the cube of the wind velocity. The wind velocity is modeled as a stationary Gaussian process. The distribution of the extreme power is developed from mean upcrossing rates and the assumption that crossings of high thresholds follow a Poisson probability law. The results obtained are valid for any amount of the mean wind speed.

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46

Migallón, Héctor, Violeta Migallón, and José Penadés. "Non-Stationary Acceleration Strategies for PageRank Computing." Mathematics 7, no. 10 (October 1, 2019): 911. http://dx.doi.org/10.3390/math7100911.

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In this work, a non-stationary technique based on the Power method for accelerating the parallel computation of the PageRank vector is proposed and its theoretical convergence analyzed. This iterative non-stationary model, which uses the eigenvector formulation of the PageRank problem, reduces the needed computations for obtaining the PageRank vector by eliminating synchronization points among processes, in such a way that, at each iteration of the Power method, the block of iterate vector assigned to each process can be locally updated more than once, before performing a global synchronization. The parallel implementation of several strategies combining this novel non-stationary approach and the extrapolation methods has been developed using hybrid MPI/OpenMP programming. The experiments have been carried out on a cluster made up of 12 nodes, each one equipped with two Intel Xeon hexacore processors. The behaviour of the proposed parallel algorithms has been studied with realistic datasets, highlighting their performance compared with other parallel techniques for solving the PageRank problem. Concretely, the experimental results show a time reduction of up to 58.4 % in relation to the parallel Power method, when a small number of local updates is performed before each global synchronization, outperforming both the two-stage algorithms and the extrapolation algorithms, more sharply as the number of processes increases.

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Duran-Tovar, Ivan Camilo, Fabio Andrés Pavas-Martínez, and Oscar German Duarte-Velasco. "Effects on lifetime of low voltage conductors due to stationary power quality disturbances." DYNA 82, no. 192 (August 25, 2015): 44–51. http://dx.doi.org/10.15446/dyna.v82n192.48568.

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<p>This paper presents a methodology to estimate the effects of heating and lifetime in Low Voltage conductors (LV) due to the presence of stationary power quality disturbances. Conductor overheating and cable insulation accelerated aging can be caused by temporary increases in the rms values of the voltages and currents due to stationary disturbances. Waveform distortion, unbalance and phase displacements can be considered among the stationary disturbances. For disturbances with short duration, there is no significant reductions in the insulation lifetime, but disturbances acting for long time periods will cause cumulative and detrimental effects. Currently valid models for insulation aging are employed; the expected power quality disturbance levels are extracted from power quality data bases. A discussion about the effects on insulation lifetime is presented.</p>

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Bowditch, John, and Richard L. Hills. "Power from Steam: A History of the Stationary Steam Engine." Technology and Culture 33, no. 4 (October 1992): 821. http://dx.doi.org/10.2307/3106607.

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Smith, Cecil O., and Richard L. Hills. "Power from Steam: A History of the Stationary Steam Engine." American Historical Review 96, no. 5 (December 1991): 1522. http://dx.doi.org/10.2307/2165317.

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CLEGHORN, S. "Pem fuel cells for transportation and stationary power generation applications." International Journal of Hydrogen Energy 22, no. 12 (December 1997): 1137–44. http://dx.doi.org/10.1016/s0360-3199(97)00016-5.

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