Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 48 for “"Average Model"”.
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New product forecasting of appliance and consumables : moving average model
… For appliance forecast, three forecasting models are selected and used by the final demand plaining software while only Moving Average Model is explained in detail in this paper. Moreover, this paper also demonstrates the methodology to forecast consumable pods.
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Modeling of Multi-Pulse Transformer/Rectifier Units in Power Distribution Systems
… is also an interest in developing small-signal models so that stability issues can be studied. This thesis presents a procedure for the average model of multi-pulse transformer/rectifier topologies. The dq rotating reference frame was used to develop the average model and parameter estimation is …
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Modeling and measurement of switching converters
The methods of modeling and measurement of switching converters are discussed in this thesis. The average model is very simple but is inaccurate when modulation frequencies approach to one-half of the switching frequency. The discrete model can accurately predict the modulation envelope of the …
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Modeling and Control of a Synchronous Generator With Electronic Load
… a three-phase diode rectifier requires adequate modeling in both time and frequency domain. In particular, the system's control-loops, responsible for stability and proper impedance matching between generator and load, are difficult to design without an accurate small-signal model. A …
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New Multi-Phase Diode Rectifier Average Models for AC and DC Power System Studies
… the system smaller, lighter and more reliable. Average models provide a good solution to system simulation and can also serve as the basis to derive the small signal model for system-level study using linear control theory. A new average modeling approach for three-phase and nine-phase diode …
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Level of Agreement in the Mental Models of Human Factors Practitioners and Systems Engineers Working in Collaborative Teams
… study relied on measurement of individual mental models, using a graphical brainstorming tool to capture functional decompositions, argued as representing the problem domain component of an individual mental model. This study compared individual functional decomposition models against an average …
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Integrating Contemporary Attitude Theory With the Concept of Commitment (Involvement, Smoking)
… to the consequences of smoking. Commitment model formulations resembling three compensatory attitude models were investigated: the Fishbein attitude model, a weighted-average model, and the Vector model.
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On the Circuit Oriented Average Large Signal Modeling of Power Converters and its Applications
… and efficient Circuit Oriented Large Signal Average Models (COLSAMs) that approximate the slow dynamics manifold of the moving average values of the relevant state variables for Pulse-Width Modulated (PWM) dc to dc and three-phase to dc power converters is developed. These COLSAMs can cover …
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High-Frequency Modeling and Analyses for Buck and Multiphase Buck Converters
… is not clear, either. Since the widely-used average model eliminates the inherent switching functions, it is not able to predict the converter's high-frequency performance. In this dissertation, the primary objectives are to develop the methodology of high-frequency modeling for the buck and …
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An average modeling approach of hybrid power systems for use in mobile refrigeration applications
This thesis presents averaging-based models of hybrid electric power systems for refrigeration units in delivery trucks. The background of the mobile refrigeration industry is stated, and the motivation of the proposed hybrid-powered ac motor drive is discussed. The model is intended to be used for …
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Development of dynamic recursive models for freeway travel time predictions
… the development of a sound prediction model for travel times is desirable. A comprehensive literature review about existing prediction models was conducted by investigating the advantages, disadvantages, and limitations of each model. Based on the features and properties of previous …
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Modeling and control of zero-voltage transition three-phase PWM boost rectifier
Average and small signal modeling of zero-voltage transition three-phase boost rectifier is performed. The effect of ZVT is introduced in the existing model for the three-phase boost rectifier using the time-averaging equivalent circuit approach. The small signal model is derived from the average …
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Vine copula modelling of dependence and portfolio optimization with application to mining and energy stock return series from the Australian market
This thesis models the dependence risk profile, investment risk and portfolio allocation features of seven 20-stock portfolios from the mining, energy, retail and manufacturing sectors of the Australian market in the context of the 2008-2009 global financial crisis (2008-2009 GFC) and pre-GFC, GFC, …
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Development and analysis of hybrid adaptive neuro-fuzzy inference systems for the recognition of weak signals preceding earthquakes
… providing the system is adequately trained. An average model for EEP signals has been identified based on a time function describing the evolution of the number of propagating cracks. Pattern recognition is performed by the neural network to identify the average EEP model from within the …
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Comparison of linear parametric models for predicting fMRI response
In this study, five different linear parametric models including Autoregressive model (ARX), Autoregressive Moving Average Model (ARMAX), Box-Jenkins Model (BJ), Instrument Variable Model (IV) and Prediction Error Model (PEM) were used to predict the fMRI response and their performances compared. …
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Design and control of microsatellite clusters for tracking missions
… a constellation of clusters that minimizes the average model-based target tracking error. A two part approach, (1) constellation design and (2) cluster design, reduces the overall orbit determination complexity. The constellation design provides continuous, 24 hour coverage of the occupancy …
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An improved switching converter model
The nonlinear modeling and analysis of dc-dc converters in the continuous mode and discontinuous mode has been done by averaging and discrete-sampling techniques. The averaging technique is simple to use and averages the output voltage. The discrete technique is very complex and cumbersome, but …
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Empirical Bayes methods in time series analysis
… time series parameters: The autoregressive model, moving average model, mixed autoregressive-moving average, regression with time series errors, regression with unobservable variables, serial correlation, multiple time series and spectral density function. In each case, empirical Bayes …
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Analysis of Inductor-Coupled Zero-Voltage-Transition Converters
… effect of SVM schemes is also investigated. An average model of the ZVT converter is developed using both the timing analysis and the investigation of SVM schemes, and small-signal analysis using the average model predicts the steady-state characteristics of the converter.
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Parameter estimation for series observed with round-off error
… for estimating parameters of a finite moving average time series which is observed only after rounding. Method of moments estimators are proposed for estimation of parameters of time series observed with general measurement error, including error, ε<sub>n</sub>, which is correlated with the …
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