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Model predictive current control (MPCC) is a powerful control strategy for the control of three-phase power converters. Conventional MPCC achieves good steady state performance and quick dynamic response by selecting the optimal voltage vector. However, this method is highly dependent on the accuracy of the model and parameters, which means that the steady state performance will deteriorate when the...
Deposition and congestion of foulants in the compressor section of gas turbine engines (GTE) degrades the compressor and leads to performance deterioration of the GTE at the system level. Compressor fouling may develop over a short time, but it is recoverable by washing and cleaning. Reliable prediction of the fouling as a function of time is helpful for planning compressor wash services. In this...
Prognostics of a specific asset based on data from a fleet of same assets, but operated in different environmental and operational conditions is an important and common problem in Prognostics and Health Management (PHM). Traditional data-driven models trained on all fleet data provide only a general degradation trend, without capturing the specificity of the degradation process of the different assets...
Monitoring the performance of gas turbine engines (GTEs) by sampling the operating parameters of the GTEs is the central part of the GTEs health management program. The rate of data sampling and the consequent analyses of the sampled data are restricted to the available resources. It especially appears as a principal constraint where the data is manually logged by the operators. In a recent research...
Chabagou, a small watershed in Loess Plateau, is a typical area with waterfall and geographic features. The research on the adaptability of different erosion and sediment yield models will be of great importance to the productive practice and the research on erosion and sediment in these areas. The thesis chooses two different types of erosion models (empirical watershed scale model and distributed...
at present, China's urbanization is in a stage of rapid development, resulting in the existing "single-core" urban spatial structure has been unable to meet the requirements of the dense population and various economic and social activities in the cities. Therefore, to alleviate population pressure in urban centers, many new districts have been gradually risen around some big cities, and...
Single grey system forecasting model has its limitation, and the bearing characteristic of the pile in soft soil is extremely complicated. Its load-settlement curve usually can not fit the exponential curve, and the single forecasting model cannot fit it completely. In order to improve the prediction's accuracy on vertical ultimate bearing capability forecast, some grey system forecasting models have...
In this paper, we present a new spectrum-hole prediction model for cognitive radio (CR) systems based on the IEEE 802.11 wireless local areas networks. We have also analyzed the distribution of interval between two consecutive packets (ITCP) based on a simple two-user network. For multiuser networks, we have investigated the distribution of ITCP and study its characteristics using Bayesian inference...
This paper introduces the key technologies and tourism applications of networking autonomic system. The paper focuses especially in the theories, architectures and algorithms being used. It discusses the requirements for networking autonomic system in China and introduces a data mining and intelligent predicting system of tourism emergency based on networking autonomic system, which concentrates on...
In this paper, a novel method based on former cases for plastic surgery prediction is presented. This method takes a pre-operative frontal facial picture as an input. Landmarks of the face are then extracted and constitute a distance vector. As a set of facial parameters, such a vector is entered into either a support vector regression (SVR) predictor or a k-nearest neighbor (KNN) predictor which...
In view of the forecast of the coal spontaneous combustion, an analysis model to forecast the possibility of coal spontaneous combustion was established. Then, an analysis method of positive and negative association rules based on data mining was proposed. Application of the method can mine rules from the explicit and implicit factors related to coal spontaneous combustion. It can not only overcome...
Wind speed forecasting is significant to the security and stability of electric power system. Aiming to forecast wind speed more efficiently, a hybrid forecasting method based on empirical mode decomposition(EMD) and time-series analysis has been presented in this paper. Employing the EMD technique to decompose the original data into a residue and many intrinsic mode function(IMF) components, which...
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