| 桥吊实时工况统计分析与预测 |
| |
| 引用本文： | 续秀忠,蒋姗.桥吊实时工况统计分析与预测[J].上海海事大学学报,2010,31(4):59-62. |
| |
| 作者姓名： | 续秀忠 蒋姗 |
| |
| 作者单位： | 上海海事大学,物流工程学院,上海,201306 |
| |
| 基金项目： | 上海市教育委员会预算支出项目（20080091） |
| |
| 摘 要： | 为准确掌握桥式起重机(简称桥吊)的动态信息，对上海外高桥集装箱桥吊的实时工况进行统计分析与预测.通过分析桥吊起升电机的振动信号和温度信号统计特性，得到振动与温度的关系；通过对信号数据的预处理，建立支持向量机(Support Vector Machine, SVM)训练模型，其中对惩罚参数和核函数参数采用交叉验证的方法进行优化；利用得到的训练模型预测后继的振动信号.与单纯用振动信号或温度信号所建的模型相比，这种振动信号与温度信号相结合的模型对电机振动信号预测的准确性更高.
|
| 关 键 词： | 桥式起重机 实时工况 统计分析 预测 支持向量机 |
| 收稿时间： | 5/19/2010 9:42:36 AM |
| 修稿时间： | 7/5/2010 2:02:01 PM |
Statistical analysis and prediction on real time operating condition of bridge crane |
| |
| XU Xiuzhong,JIANG Shan.Statistical analysis and prediction on real time operating condition of bridge crane[J].Journal of Shanghai Maritime University,2010,31(4):59-62. |
| |
| Authors: | XU Xiuzhong JIANG Shan |
| |
| Abstract: | In order to grasp the dynamic information of bridge crane accurately, the statistical analysis and prediction on real time working condition of container bridge crane in Waigaoqiao port in Shanghai is conducted. Through the statistical feature analysis on vibration signal and temperature signal of lifting motor of bridge crane, the relationship between vibration and temperature is obtained; through preprocessing the data of vibration signal and temperature signal, the Support Vector Machine (SVM) model is established, and the penalty parameter and kernel function parameter are optimized by cross validation. The model is then used to predict the vibration signal. Compared with the models which are established according to vibration signal or temperature signal respectively, the model which combines vibration signal and temperature signal provides more accurate prediction of the vibration signal of the lifting motor. |
| |
| Keywords: | bridge crane real time working condition statistical analysis prediction support vector machine |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《上海海事大学学报》浏览原始摘要信息 |
| 点击此处可从《上海海事大学学报》下载免费的PDF全文 |
|
