| 2 | Detecting Icing on the Blades of a Wind Turbine Using a Deep Neural Network显示文摘The blades of wind turbines located at high latitudes are often covered with ice in late autumn and winter,where this affects their capacity for power generation as well as their safety.Accurately identifying the icing of the blades of wind turbines in remote areas is thus important,and a general model is needed to this end.This paper proposes a universal model based on a Deep Neural Network(DNN)that uses data from the Supervisory Control and Data Acquisition(SCADA)system.Two datasets from SCADA are first preprocessed through undersampling,that is,they are labeled,normalized,and balanced.The features of icing of the blades of a turbine identified in previous studies are then used to extract training data from the training dataset.A middle feature is proposed to show how a given feature is correlated with icing on the blade.Performance indicators for the model,including a reward function,are also designed to assess its predictive accuracy.Finally,the most suitable model is used to predict the testing data,and values of the reward function and the predictive accuracy of the model are calculated.The proposed method can be used to relate continuously transferred features with a binary status of icing of the blades of the turbine by using variables of the middle feature.The results here show that an integrated indicator systemis superior to a single indicator of accuracy when evaluating the prediction model. | Tingshun Li Jiaohui Xu Zesan Liu Dadi Wang Wen Tan | 2023 | Computer Modeling in Engineering & Sciences2023，，2： | 0 |
| 3 | Clustered trajectories anonymity in wireless sensor networks显示文摘This paper proposes a clustered trajectories anonymity scheme(CTA) that enhances the k-anonymity scheme to provide the intended level of source location privacy in mobile event monitoring when a global attacker is assumed.CTA applies isomorphic property of rotation to create traces of the fake sources distributions which are similar to those of the real sources.Thus anonymity of each trajectory and that of the clustered is achieved.In addition,location k-diversity is achieved by distributing fake sources around the base station.To reduce the time delay,tree rooted at the base station is constructed to overlap part of the beacon interval of the nodes in the hierarchy.Both the analytical analysis and the simulation results prove that our scheme provides perfect anonymity with improved energy overhead and time delay. | Seble Hailu Dady Wang Jiahao Qin Zhiguang Yang Fan | 2015 | High Technology Letters2015，21，2： | 0 |
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