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Artykuły w czasopismach na temat "Loads estimation"

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Lythe, G. R., i D. Surry. "Wind-induced torsional loads on buildings". Canadian Journal of Civil Engineering 19, nr 4 (1.08.1992): 711–23. http://dx.doi.org/10.1139/l92-079.

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This paper examines the mean and peak torsional wind loads on tall buildings using two data bases of torsion measured experimentally in wind tunnel tests: the first, a large data base of mean torsional loads; and the second, a smaller data base of peak torsions. Although the mean load constitutes only a part of the total peak load required for design, it provides considerable insight into the aerodynamics of torsion, while improvement in its estimation also improves the estimation of the total peak load, using empirical gust factor methods. Comparisons between experimental results and the corresponding provisions of the 1985 National Building Code of Canada and Commentary indicate that, while the NBCC is a good estimator of mean shear loads, it significantly underestimates the mean torsional loads on tall buildings. The experimental data are further analysed to provide an improved estimation method for both the mean and the peak torsion. For mean torsion, this involves evaluating various definitions of the torsion coefficient and classifying building shapes in order to decrease the variability of the associated coefficients. This process leads to some notion of those shapes susceptible to large torsional loads and the most important building parameters on which to base predictions. This insight, along with the data base of peak torsion, is used to simplify and improve an existing method for estimating peak torsion, which was developed using a smaller data base. Key words: torsion, wind loading, codes, wind tunnel tests, tall buildings.
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Rao, Zhushi, Qinzhong Shi i Ichiro Hagiwara. "Optimal Estimation of Dynamic Loads for Multiple-Input System". Journal of Vibration and Acoustics 121, nr 3 (1.07.1999): 397–401. http://dx.doi.org/10.1115/1.2893993.

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An optimal method is developed to estimate the dynamic loads for systems subjected to multiple inputs. The method focuses on minimizing the ensemble mean square error of the estimation. First, the inverse system analysis technique is employed to establish the error estimation equation. Then, by applying the noncausal Wiener filtering theory, the optimal estimator of dynamic loads is derived out. Numerical simulation work demonstrates that the method is of a good ability in suppressing the influence of measurement noises on estimation accuracy. Meanwhile, the simulating calculation of load estimation by a conventional method is also performed and the comparison of both results shows that the method proposed in this paper is rather effective and practicable for dynamic load estimation.
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Deesomsuk, Teerachai, i Tospol Pinkaew. "Effectiveness of Vehicle Weight Estimation from Bridge Weigh-in-Motion". Advances in Civil Engineering 2009 (2009): 1–13. http://dx.doi.org/10.1155/2009/312034.

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The effectiveness of vehicle weight estimations from bridge weigh-in-motion system is studied. The measured bending moments of the instrumented bridge under a passage of vehicle are numerically simulated and are used as the input for the vehicle weight estimations. Two weight estimation methods assuming constant magnitudes and time-varying magnitudes of vehicle axle loads are investigated. The appropriate number of bridge elements and sampling frequency are considered. The effectiveness in term of the estimation accuracy is evaluated and compared under various parameters of vehicle-bridge system. The effects of vehicle speed, vehicle configuration, vehicle weight and bridge surface roughness on the accuracy of the estimated vehicle weights are intensively investigated. Based on the obtained results, vehicle speed, surface roughness level and measurement error seem to have stronger effects on the weight estimation accuracy than other parameters. In general, both methods can provide quite accurate weight estimation of the vehicle. Comparing between them, although the weight estimation method assuming constant magnitudes of axle loads is faster, the method assuming time-varying magnitudes of axle loads can provide axle load histories and exhibits more accurate weight estimations of the vehicle for almost of the considered cases.
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Rajani, B., i C. Zhan. "On the estimation of frost loads". Canadian Geotechnical Journal 33, nr 4 (20.08.1996): 629–41. http://dx.doi.org/10.1139/t96-088-309.

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Frost load is an important loading condition to consider for the design of buried pipes. Though frost loads can be much greater than earth loads, it is not presently possible to estimate frost loads except using heuristic arguments. This paper describes the development of simplified methods to estimate frost load. Important variables are identified that can explain how the effects of frost loading can be mitigated. Sensitivity analyses are presented to highlight the importance of the different variables involved in the simplified methods. Frost loads measured in a field case study are compared with calculated frost loads in trenches with clay and sand backfills. Key words: frost load, frost depth, buried pipe, trench backfills, trench width.
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Yamamoto, K., i T. Suetsugi. "Estimation of particulate nutrient load usingturbidity meter". Water Science and Technology 53, nr 2 (1.01.2006): 311–20. http://dx.doi.org/10.2166/wst.2006.065.

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The “Nutrient Load Hysteresis Coefficient” was proposed to evaluate the hysteresis of the nutrient loads to flow rate quantitatively. This could classify the runoff patterns of nutrient load into 15 patterns. Linear relationships between the turbidity and the concentrations of particulate nutrients were observed. It was clarified that the linearity was caused by the influence of the particle size on turbidity output and accumulation of nutrients on smaller particles (diameter <23 μm). The L-Q-Turb method, which is a new method for the estimation of runoff loads of nutrients using a regression curve between the turbidity and the concentrations of particulate nutrients, was developed. This method could raise the precision of the estimation of nutrient loads even if they had strong hysteresis to flow rate. For example, as for the runoff load of total phosphorus load on flood events in a total of eight cases, the averaged error of estimation of total phosphorus load by the L-Q-Turb method was 11%, whereas the averaged estimation error by the regression curve between flow rate and nutrient load was 28%.
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Rong, Haina, i Francisco de León. "Load Estimation of Complex Power Networks from Transformer Measurements and Forecasted Loads". Complexity 2020 (22.01.2020): 1–14. http://dx.doi.org/10.1155/2020/2941809.

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This paper presents a load estimation method applicable to complex power networks (namely, heavily meshed secondary networks) based on available network transformer measurements. The method consists of three steps: network reduction, load forecasting, and state estimation. The network is first mathematically reduced to the terminals of loads and measurement points. A load forecasting approach based on temperature is proposed to solve the network unobservability. The relationship between outdoor temperature and power consumption is studied. A power-temperature curve, a nonlinear function, is obtained to forecast loads as the temperature varies. An “effective temperature” reflecting complex weather conditions (sun irradiation, humidity, rain, etc.) is introduced to properly consider the effect on the power consumption of cooling and heating devices. State estimation is adopted to compute loads using network transformer measurements and forecasted loads. Experiments conducted on a real secondary network in New York City with 1040 buses verify the effectiveness of the proposed method.
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Li, Yanxi, Xingwen Quan, Zhanmang Liao i Binbin He. "Forest Fuel Loads Estimation from Landsat ETM+ and ALOS PALSAR Data". Remote Sensing 13, nr 6 (20.03.2021): 1189. http://dx.doi.org/10.3390/rs13061189.

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Fuel load is the key factor driving fire ignition, spread and intensity. The current literature reports the light detection and ranging (LiDAR), optical and airborne synthetic aperture radar (SAR) data for fuel load estimation, but the optical and SAR data are generally individually explored. Optical and SAR data are expected to be sensitive to different types of fuel loads because of their different imaging mechanisms. Optical data mainly captures the characteristics of leaf and forest canopy, while the latter is more sensitive to forest vertical structures due to its strong penetrability. This study aims to explore the performance of Landsat Enhanced Thematic Mapper Plus (ETM+) and Advanced Land Observing Satellite (ALOS) Phased Arrayed L-band Synthetic Aperture Radar (PALSAR) data as well as their combination on estimating three different types of fuel load—stem fuel load (SFL), branch fuel load (BFL) and foliage fuel load (FFL). We first analyzed the correlation between the three types of fuel load and optical and SAR data. Then, the partial least squares regression (PLSR) was used to build the fuel load estimation models based on the fuel load measurements from Vindeln, Sweden, and variables derived from optical and SAR data. Based on the leave-one-out cross-validation (LOOCV) method, results show that L-band SAR data performed well on all three types of fuel load (R2 = 0.72, 0.70, 0.72). The optical data performed best for FFL estimation (R2 = 0.66), followed by BFL (R2 = 0.56) and SFL (R2 = 0.37). Further improvements were found for the SFL, BFL and FFL estimation when integrating optical and SAR data (R2 = 0.76, 0.81, 0.82), highlighting the importance of data selection and combination for fuel load estimation.
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Jin, Sen, i Shyh-Chin Chen. "Application of QuickBird imagery in fuel load estimation in the Daxinganling region, China". International Journal of Wildland Fire 21, nr 5 (2012): 583. http://dx.doi.org/10.1071/wf11018.

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A high spatial resolution QuickBird satellite image and a low spatial but high spectral resolution Landsat Thermatic Mapper image were used to linearly regress fuel loads of 70 plots with size 30 × 30 m over the Daxinganling region of north-east China. The results were compared with loads from field surveys and from regression estimations by surveyed stand characteristics. The results show that fuel loads were related to stand characteristics, such as stand mean diameter at breast height and stand height. As the QuickBird image using the shadow fraction method represented the stand characteristics well, fuel loads were well estimated from the QuickBird image. QuickBird estimations outperformed those from the lower spatial resolution Thermatic Mapper image. For many fuel classes, the QuickBird estimations were as good as those regressed from surveyed stand characteristics, and thus similar to the surveyed fine and total dead fuel loads. However, coarse fuel loads were not estimated as well using both satellite images owing to their intrinsic low association with stand characteristics. Despite this limitation in estimating coarse fuels, very-high-resolution images such as QuickBird are still valuable in estimating fine fuels, which are critically important in the practice of fire management.
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Tinkham, Wade T., Chad M. Hoffman, Jesse M. Canfield, Emma Vakili i Robin M. Reich. "Using the photoload technique with double sampling to improve surface fuel loading estimates". International Journal of Wildland Fire 25, nr 2 (2016): 224. http://dx.doi.org/10.1071/wf15027.

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Accurate surface fuel load estimates based on the planar intercept method require a considerable amount of time and cost. Recently the photoload method has been proposed as an alternative for sampling of fine woody surface fuels. To evaluate the use of photoload fuel sampling, six simulated fuel beds of 100 photoload visual estimates and destructively sampled fuel loads were generated at three levels of fuel loading (0.016, 0.060, and 0.120 kg m–2) and two levels of variability (coefficients of variation of ~42 and 85%). We assessed the accuracy and precision of simple random sampling with and without double sampling on surface fuel load estimation. Direct visual estimates often overestimated fuel loads where actual fuel loading was low and underestimated fuel loads where fuel loads were large. We found that double sampling with a classical regression estimation approach provided the most accurate and precise fuel load estimates, substantially improving the accuracy and precision achieved over standard photoload estimation when ń ≥ 20 and double sampling rate ≥20%. These results indicate that fine woody fuel loading estimation with the photoload technique can be improved by incorporating a double sampling approach.
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Peters, K. A., i K. A. Busch. "Strain estimation for external event loads". Nuclear Engineering and Design 96, nr 2-3 (październik 1986): 437–40. http://dx.doi.org/10.1016/0029-5493(86)90281-5.

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Rozprawy doktorskie na temat "Loads estimation"

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Kim, Hak Joon. "Estimation for tunnel lining loads". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq23005.pdf.

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Fowler, Christopher G. "Robust estimation of limit loads for cracked components". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0001/MQ42382.pdf.

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Modenese, Luca. "Biomechanics, musculoskeletal modelling, hip joint loads prediction, muscle force estimation". Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/39476.

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A musculoskeletal model of the lower limb has been implemented and assessed in order to be used as a predictive tool to quantify the hip contact force (HCF) vector acting between the femoral head and the pelvic acetabulum. The model is based on a published anatomical dataset, which has been critically revised and extended. The HCFs obtained through the model have been assessed at multiple levels of detail against measurements from instrumented prostheses from a publicly available dataset. In the first instance, a direct comparison has been undertaken in order to verify predicted HCF magnitudes close to the measured and muscle recruitment consistent with electromyographic activation profiles reported in the literature. Secondly, a trend validation was performed to ensure the correct behaviour of the model when the same daily living task (level walking) was performed with different modalities. Finally, a falsification of the model was performed by challenging it to predict the exact components of the measured hip contact forces for both level walking and stair climbing. The closest achievable predictions were also calculated, together with the accuracy of a conventional use of the model not exploiting a priori knowledge of the joint contact forces. Once the assessment of the model was completed, a dataset of anthropometric, kinematic and kinetic data was collected on eight young healthy subjects performing daily living activities. As a demonstration of the potential use of the dataset, a subject specific model was generated and used to estimate HCF direction and magnitude for level walking and stair climbing, the same activities investigated during model validation. The model was further extended in order to include the upper part of the body and potentially analyze full body kinematics and kinetics. A further modified version of the model was finally developed in order to be used in finite elements analyses or more generally in applications requiring equilibrated sets of muscle and joint forces acting on a bone structure, as the highly discretized representation of the muscles makes the model particularly suitable for this kind of use. The developed model has been implemented in the open source software OpenSim and is freely available for download and use in research.
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Lodhi, Muhammad S. "RESPONSE ESTIMATION OF REINFORCED CONCRETE COLUMNS SUBJECTED TO LATERAL LOADS". The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269631164.

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Mansor, Shuhaimi. "Estimation of bluff body transient aerodynamic loads using an oscillating model rig". Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/13208.

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A method for the estimation of transient aerodynamic data from dynamic wind tunnel tests has been developed and employed in the study of the unsteady response of simple automotive type bodies. The experimental setup consists of the test model mounted to the oscillating model facility such that it is constrained to oscillate with a single degree of freedom of pure yawing motion. The yaw position is recorded from a potentiometer and the time response provides the primary measurement. Analysis of the wind-off and wind-on response allows the transient aerodynamic loads to be estimated. The frequency of oscillation, (synonymous with the frequency of disturbing wind input) is modified by altering the mechanical stiffness of the facility. The effects of Reynolds number and oscillation frequency are considered and the model is shown to exhibit damped, self-sustained and self-excited behaviour. The transient results are compared with a quasi-steady prediction based on conventional tunnel balance data and presented in the form of aerodynamic magnification factor. The facility and analysis techniques employed are presented and the results of a parametric study of model rear slant angle and of the influence of C-pillar strakes is reported. The results are strongly dependent on shape but for almost all rear slant angles tested the results show that the transient response exceeds that predicted from steady state data. The level of unsteadiness is also significantly influenced by the rear slant angles. The addition of C-pillar strakes is shown to stabilise the flow with even small strakes yielding responses below that of steady state. From the simulation results the self-sustained oscillation is shown to occur when the aerodynamic damping cancels the mechanical damping. The unsteadiness in the oscillation can be simulated by adding band-limited white noise with an intensity close to that of the turbulence intensity found in the wake. From vehicle crosswind simulation results the aerodynamic yaw moment derivative and its magnification factor are shown to be the important parameters influencing the crosswind sensitivity and path deviation.
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Leitch, Katherine McArthur. "Estimating Tributary Phosphorus Loads Using Flow-Weighted Composite Storm Sampling". Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/10078.

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Quantification of total phosphorus (TP) loads entering a lake or reservoir is important because phosphorus is most often the limiting nutrient in terms of algae growth, thus phosphorus can control the extent of eutrophication. Four methods for assessing the annual tributary phosphorus loads to two different Virginia reservoirs were analyzed, three methods that use tributary monitoring program data and one that uses land-use and rainfall data. In this project, one tributary has been extensively monitored for many years and served as a control on which the other methods were tested. The key difference between this research and previous studies is the inclusion of flow-weighted composite storm sampling instead of simple grab sample analyses of storm flow. Three of the methods employed flow stratification, and the impact of the base flow separation point was examined. It was found that the Regression Method developed in this research was the least sensitive to the base flow separation point, which is a valuable attribute because a wrong choice will not significantly affect the estimate. The Monte Carlo Method was found to underestimate the TP loads. The amount of rainfall impacted the accuracy of the methods, with more error occurring in a year with lower precipitation.
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Neubert, Michael Christopher. "Estimation of Required Restraint Forces in Z-Purlin Supported, Sloped Roofs Under Gravity Loads". Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/44512.

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The current specification provisions for the prediction of lateral restraint forces in Z-purlin supported roof systems under gravity loads are in Section D3.1 of the 1996 AISI Cold-Formed Specification. The design equations contained in these provisions are empirical and based on statistical analysis. They were developed using elastic stiffness models of flat roofs and were verified by experimental testing. The provisions need refinement, because the treatment of roof slope and system effects is incorrect. Also, the current design provisions are based upon an assumed panel stiffness value, ignoring the significant difference in required restraint force that occurs when panel stiffness is varied. Therefore, a new restraint force design procedure, having a stronger reliance on engineering principles, is proposed. This new treatment of the static forces in Z-purlin roofs led to a more accurate method of addressing roof slope. Elastic stiffness models, with varying roof slope, panel stiffness, and cross-sectional properties, were used to develop the proposed procedure. The basis of the procedure is to determine the lateral restraint force required for a single purlin system and then extend this result to systems with multiple restrained purlin lines. Roof slope is incorporated into the calculation of the single purlin restraint force, which includes eccentric gravity loads and forces induced by Z-purlin asymmetry. The procedure includes a system effect factor to account for the observed nonlinear increase in restraint force with the number of restrained purlins. An adjustment factor varies the predicted restraint force depending on the shear stiffness of the roof panel. The proposed procedure applies to five bracing configurations: support, third-point, midspan, quarter point, and third-point plus support restraints.
Master of Science
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Carn, Cheril, i cheril Carn@dsto defence gov au. "The inverse determination of aircraft loading using artificial neural network analysis of structural response data with statistical methods". RMIT University. Aerospace, Mechanical and Manufacturing Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080109.090600.

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An artificial Neural Network (ANN) system has been developed that can analyse aircraft flight data to provide a reconstruction of the aerodynamic loads experienced by the aircraft during flight, including manoeuvre, buffet and distributed loading. For this research data was taken from the International Follow-On Structural Test Project (IFOSTP) F/A-18 fatigue test conducted by the Royal Australian Air Force and Canadian Forces. This fatigue test involved the simultaneous application of both manouevre and buffet loads using airbag actuators and shakers. The applied loads were representative of the actual loads experienced by an FA/18 during flight tests. Following an evaluation of different ANN types an Ellman network with three linear layers was selected. The Elman back-propagation network was tested with various parameters and structures. The network was trained using the MATLAB 'traingdx' function with is a gradient descent with momentum and adaptive learning rate back-propagation algorithm. The ANN was able to provide a good approximation of the actual manoeuvre or buffet loads at the location where the training loads data were recorded even for input values which differ from the training input values. In further tests the ability to estimate distributed loading at locations not included in the training data was also demonstrated. The ANN was then modified to incorporate various methods for the calculation and prediction of output error and reliability Used in combination and in appropriate circumstances, the addition of these capabilities significantly increase the reliability, accuracy and therefore usefulness of the ANN system's ability to estimate aircraft loading.To demonstrate the ANN system's usefulness as a fatigue monitoring tool it was combined with a formulae for crack growth analysis. Results inficate the ANN system may be a useful fatigue monitoring tool enabling real time monitoring of aircraft critical components using existing strain gauge sensors.
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Giri, Suman. "A Framework for Estimating Energy Consumed by Electric Loads Through Minimally Intrusive Approaches". Research Showcase @ CMU, 2015. http://repository.cmu.edu/dissertations/564.

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This dissertation explores the problem of energy estimation in supervised Non-Intrusive Load Monitoring (NILM). NILM refers to a set of techniques used to estimate the electricity consumed by individual loads in a building from measurements of the total electrical consumption. Most commonly, NILM works by first attributing any significant change in the total power consumption (also known as an event) to a specific load and subsequently using these attributions (i.e. the labels for the events) to estimate energy for each load. For this last step, most proposed solutions in the field impart simplifying assumptions to make the problem more tractable. This has severely limited the practicality of the proposed solutions. To address this knowledge gap, we present a framework for creating appliance models based on classification labels and aggregate power measurements that can help relax many of these assumptions. Within the framework, we model the problem of utilizing a sequence of event labels to generate energy estimates as a broader class of problems that has two major components (i) With the understanding that the labels arise from a process with distinct states and state transitions, we estimate the underlying Finite State Machine (FSM) model that most likely generated the observed sequence (ii) We allow for the observed sequence to have errors, and present an error correction algorithm to detect and correct them. We test the framework on data from 43 appliances collected from 19 houses and find that it improves errors in energy estimates when compared to the case with no correction in 19 appliances by a factor of 50, leaves 17 appliances unchanged, and negatively impacts 6 appliances by a factor of 1.4. This approach of utilizing event sequences to estimate energy has implications in virtual metering of appliances as well. In a case study, we utilize this framework in order to substitute the need of plug-level sensors with cheap and easily deployable contacless sensors, and find that on the 6 appliances virtually metered using magnetic field sensors, the inferred energy values have an average error of 10:9%.
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Löfgren, Isabelle. "Interharmonic Analysis of Sustainable Energy Sources and Loads : Comparing two signal processing methods for estimation of interharmonics". Thesis, Högskolan Dalarna, Energiteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34236.

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In this report, studies on interharmonics from three different measurement sites are performed. The first site is a wind park with three turbines, where the measurements are performed at the point of common coupling of these three. The second site is a network which consists of a PV inverter and two types of EV chargers – a DC charger or an AC charger. Measurements are performed with three different set-ups in this site – only AC charger connected, only DC charger connected, and AC charger and PV inverter connected simultaneously. The third site where measurements were made is a microgrid using frequency control in order to signal how the microgrid should operate at the moment. The interharmonic analysis was conducted using desynchronized processing technique (DP) and Sliding-Window Estimation of Signal Parameters via Rotational Invariance Techniques (SlidingWindow ESPRIT or SWESPRIT). The result from the wind park is that closely and evenly spaced interharmonics can be seen when the current suddenly increases (could be fast variations in wind speed). It is however uncertain if these interharmonics are caused by spectral leakage or not since SWESPRIT estimates the fundamental frequency to vary drastically when wind speed varies. It is observed that the SWESPRIT estimation of fundamental frequency could be caused by sudden changes in phase angle as the current varies. Further investigation and analysis are needed. The result from the measurements on the site with EV chargers and a PV inverter is that eight distinct patterns can be observed. Some patterns appear to come from the upstream grid, while some appear to be caused by either one of the EV chargers or the PV inverter, or interaction between them. Further studies are needed. The result from the microgrid measurements is that two distinct patterns at high frequencies (above 1000 Hz) can be observed during grid connected mode and island mode, respectively. During transitions between grid connection and island mode or vice versa, the fundamental frequency varies drastically, and it is therefore hard to analyse potential interharmonics and draw inferences. Further studies are needed. Advantages and disadvantages, as well as ideas for improvements, of the two applied signal processing methods are discussed throughout the different case-studies.
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Książki na temat "Loads estimation"

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Georgia. Department of Transportation. Evaluation of bridge load-bearing capacity estimation technology. [Georgia: Dept. of Transportation, 2008.

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Liebermann, Timothy D. User's manual for estimation of dissolved-solids concentrations and loads in surface water. Denver, Colo: Dept. of the Interior, U.S. Geological Survey, 1987.

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Lieberman, Timothy D. User's manual for estimation of dissolved-solids concentrations and loads in surface water. Denver, Colo: Dept. of the Interior, U.S. Geological Survey, 1987.

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Mullaney, John R. Estimation of nitrogen yields and loads from basins draining to Long Island Sound, 1988-98. East Hartford, Conn: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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Alanen, Raili. Analysis of electrical energy consumption and neural network estimation and forecasting of loads in a paper mill. Espoo [Finland]: Technical Research Centre of Finland, 2000.

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Liárraga, Joy S. Estimation and analysis of nutrient and suspended-sediment loads at selected sites in the Potomac River Basin, 1993-95. Baltimore, Md: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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Driver, Nancy E. Techniques for estimation of storm-runoff loads, volumes, and selected constituent concentrations in urban watersheds in the United States. Washington, DC: Dept. of the Interior, 1990.

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Driver, Nancy E. Techniques for estimation of storm-runoff loads, volumes, and selected constituent concentrations in urban watersheds in the United States. Washington: U.S. G.P.O., 1990.

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Lizárraga, Joy S. Estimation and analysis of nutrient and suspended-sediment loads at selected sites in the Potomac River Basin, 1993-95. Baltimore, Md: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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Ockerman, Darwin J. Simulation of streamflow and estimation of streamflow constituent loads in the San Antonio River Watershed, Bexar County, Texas, 1997-2001. Austin, Tex: U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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Części książek na temat "Loads estimation"

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Mazzoleni, Paolo, i Emanuele Zappa. "Human Induced Dynamic Loads Estimation Based on Body Motion". W Sensors, Instrumentation and Special Topics, Volume 6, 119–25. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9507-0_13.

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Haynes, Colin M., Michael D. Todd i Kevin L. Napolitano. "Uncertainty Quantification of Weighted Residual Method in Loads Estimation". W Topics in Model Validation and Uncertainty Quantification, Volume 4, 125–32. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2431-4_13.

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Saripilli, Jai Ram, Sharad Dhavalikar i Debabrata Sen. "Estimation of Design Slosh-Induced Loads Using Numerical Simulations". W Lecture Notes in Civil Engineering, 1025–45. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4624-2_61.

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Jordaan, Ian, i John Pond. "Scale Effects and Randomness in the Estimation of Compressive Ice Loads". W IUTAM Symposium on Scaling Laws in Ice Mechanics and Ice Dynamics, 43–54. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9735-7_4.

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Duan, Weili, i Kaoru Takara. "Estimation of Nutrient and Suspended Sediment Loads in the Ishikari River". W Impacts of Climate and Human Activities on Water Resources and Quality, 127–59. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9394-5_7.

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Joshi, Kaustubh, i Nilanjan Saha. "Estimation of Ship Heave and Pitch Under Wave Loads Using Kalman Filtering". W Lecture Notes in Civil Engineering, 371–84. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8506-7_31.

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Stratiy, Pavel. "Numerical-and-Analytical Method of Estimation Insulated Glass Unit Deformations Caused by Climate Loads". W International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017, 970–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70987-1_105.

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Dziendzikowski, Michal, Wojciech Zielinski, Piotr Reymer, Marcin Kurdelski, Piotr Synaszko, Witold Klimczyk, Andrzej Leski i Krzysztof Dragan. "Substitute Models for Structural Components Loads Estimation Based on Flight Parameters and Statistical Inference Methods". W ICAF 2019 – Structural Integrity in the Age of Additive Manufacturing, 1128–37. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21503-3_89.

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Mukhametzyanov, Z. R., A. V. Rubtsov i A. S. Valiev. "Estimation of Influence Character of Installation Loads on Degree of Corrosive Wear of Column Apparatus". W Proceedings of the 4th International Conference on Industrial Engineering, 1999–2006. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95630-5_215.

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Shindo, J., A. K. Bregt i T. Hakamata. "Evaluation of Estimation Methods and Base Data Uncertainties For Critical Loads of Acid Deposition in Japan". W Acid Reign ’95?, 2571–76. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-007-0864-8_115.

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Streszczenia konferencji na temat "Loads estimation"

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Souza, R. R. N., D. F. Coutinho, R. Tonkoski, S. L. C. Silva, M. Tello, V. M. Canalli, G. A. D. Dias i in. "Nonlinear Loads Parameters Estimation and Modeling". W 2007 IEEE International Symposium on Industrial Electronics. IEEE, 2007. http://dx.doi.org/10.1109/isie.2007.4374723.

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Valdes, Julio J., Catherine Cheung i Weichao Wang. "Computational intelligence methods for helicopter loads estimation". W 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose). IEEE, 2011. http://dx.doi.org/10.1109/ijcnn.2011.6033451.

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Valdes, Julio J., Catherine Cheung i Weichao Wang. "Evolutionary computation methods for helicopter loads estimation". W 2011 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2011. http://dx.doi.org/10.1109/cec.2011.5949805.

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Mathieu, Johanna L., i Duncan S. Callaway. "State Estimation and Control of Heterogeneous Thermostatically Controlled Loads for Load Following". W 2012 45th Hawaii International Conference on System Sciences (HICSS). IEEE, 2012. http://dx.doi.org/10.1109/hicss.2012.545.

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Vrettos, Evangelos, Johanna L. Mathieu i Goran Andersson. "Control of thermostatic loads using moving horizon estimation of individual load states". W 2014 Power Systems Computation Conference (PSCC). IEEE, 2014. http://dx.doi.org/10.1109/pscc.2014.7038310.

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White, Jonathan, Brandon Ennis i Thomas G. Herges. "Estimation of Rotor Loads Due to Wake Steering". W 2018 Wind Energy Symposium. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-1730.

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Liu Aili, Ma Hongxu i Dai Hongde. "Estimation method for ship deformation under wave loads". W 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5535384.

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Pandey, M. D., i H. J. Sutherland. "Probabilistic Analysis of List Data for the Estimation of Extreme Design Loads for Wind Turbine Components". W ASME 2003 Wind Energy Symposium. ASMEDC, 2003. http://dx.doi.org/10.1115/wind2003-866.

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Streszczenie:
Robust estimation of wind turbine design loads for service lifetimes of 30 to 50 years that are based on field measurements of a few days is a challenging problem. Estimating the long-term load distribution involves the integration of conditional distributions of extreme loads over the mean wind speed and turbulence intensity distributions. However, the accuracy of the statistical extrapolation is fairly sensitive to both model and sampling errors. Using measured inflow and structural data from the LIST program, this paper presents a comparative assessment of extreme loads using three distributions: namely, the Gumbel, Weibull and Generalized Extreme Value distributions. The paper uses L-moments, in place of traditional product moments, to reduce the sampling error. The paper discusses the application of extreme value theory and highlights its practical limitations. The proposed technique has the potential of improving estimates of the design loads for wind turbines.
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PLOSTINS, P. "Estimation of the initial aerodynamic loads on sabot components". W 12th Atmospheric Flight Mechanics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-1839.

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Souza, R. R. N., D. F. Coutinho, F. S. Dos Reis i P. F. Ribeiro. "Estimation of parameterized nonlinear loads: A time-domain approach". W 2008 IEEE Power Electronics Specialists Conference - PESC 2008. IEEE, 2008. http://dx.doi.org/10.1109/pesc.2008.4592694.

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Raporty organizacyjne na temat "Loads estimation"

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Shi, Fan, Jennifer E. Michaels i Sang J. Lee. In Situ Estimation of Applied Biaxial Loads with Lamb Waves (Preprint). Fort Belvoir, VA: Defense Technical Information Center, lipiec 2012. http://dx.doi.org/10.21236/ada564281.

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Crawford, Claire, Rowena Crawford i Wenchao (Michelle) Jin. Estimating the public cost of student loans. Institute for Fiscal Studies, kwiecień 2014. http://dx.doi.org/10.1920/re.ifs.2014.0094.

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Richardson, William M. General Procedure for Lifetime Seaway Load Estimation (LSLE) With Examples. Fort Belvoir, VA: Defense Technical Information Center, maj 2007. http://dx.doi.org/10.21236/ada477122.

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Tom McDermott. Load Modeling and State Estimation Methods for Power Distribution Systems: Final Report. Office of Scientific and Technical Information (OSTI), maj 2010. http://dx.doi.org/10.2172/978615.

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Crowe, R. D., M. Kummerer i A. K. Postma. Estimation of heat load in waste tanks using average vapor space temperatures. Office of Scientific and Technical Information (OSTI), grudzień 1993. http://dx.doi.org/10.2172/10118671.

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Azuma, David L. Estimating snow load in California for three recurrence intervals. Berkeley, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1985. http://dx.doi.org/10.2737/psw-rn-379.

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Akbari, H., J. Eto, I. Turiel, K. Heinemeier, B. Lebot, B. Nordman i L. Rainer. Integrated estimation of commercial sector end-use load shapes and energy use intensities. Office of Scientific and Technical Information (OSTI), styczeń 1989. http://dx.doi.org/10.2172/7260522.

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Masiutenko, M. N., i N. P. Masiutenko. TO DEVELOPING AN ALGORITHM OF ESTIMATION AND NORMALIZATION OF ANTHROPOGENIC LOAD IN AGROLANDSCAPES. ФГБОУ ВО Курская ГСХА, 2018. http://dx.doi.org/10.18411/issn1997-0749.2018-06-02.

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Prowell, I., A. Elgamal, C. Uang i J. Jonkman. Estimation of Seismic Load Demand for a Wind Turbine in the Time Domain: Preprint. Office of Scientific and Technical Information (OSTI), marzec 2010. http://dx.doi.org/10.2172/974465.

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Shibata, Naoki, Goro Obinata i Yasuhiro Kajiwara. Estimation of Load to Human-Operator by Model-Based Approach~Effect of Visual Distractions. Warrendale, PA: SAE International, maj 2005. http://dx.doi.org/10.4271/2005-08-0243.

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