节点文献
小卫星电源系统遥测数据的区间预测技术
Prediction interval technique for small satellite power system telemetry data
【摘要】 针对因受到一些未知因素的影响,卫星电源系统遥测数据会呈现出非线性、非平稳的特点,首先利用àTrous小波方法建立小卫星电源系统遥测数据的预测模型.在此基础上,根据实际工程应用需要给出了该模型的预测区间构造方法,预测值不再是一个点值,而是具有一定置信度的区间,因此该方法更具有工程实用价值.最后用某小卫星遥测数据验证了所提方法的可行性.
【Abstract】 Prediction interval technique can not only analyze the trend of future data,but also provide the range of future data at certain confidence degree.Firstly,à Trous wavelet is employed to establish a prediction model for small satellite power system telemetry data,which is non-linear and non-stationary under the influence of certain unknown factors.Then,a prediction interval construction approach for the above model is presented,which generates a prediction value with a certain confidence interval instead of a point value.Finally,the feasibility of the proposed method is also verified using the satellite telemetry data.
【Key words】 satellite power system; prediction interval; confidence degree; wavelet; trend forecast;
- 【文献出处】 华中科技大学学报(自然科学版) ,Journal of Huazhong University of Science and Technology(Nature Science Edition) , 编辑部邮箱 ,2009年S1期
- 【分类号】V423.44
- 【被引频次】7
- 【下载频次】277