| 基于时间序列数据挖掘的旋转机械故障预报 |
| |
| 引用本文： | 苏圣超,张正道,朱大奇.基于时间序列数据挖掘的旋转机械故障预报[J].南京航空航天大学学报,2006,38(Z1):120-123. |
| |
| 作者姓名： | 苏圣超 张正道 朱大奇 |
| |
| 作者单位： | 江南大学控制科学与工程研究中心,无锡,214122 |
| |
| 基金项目： | 江苏省自然科学基金;教育部科学技术研究重点项目 |
| |
| 摘 要： | 提出一种基于时间序列数据挖掘的故障预报新方法。把故障前兆因子作为一种暂态,根据旋转机械轴承振动的实验数据建立时间序列．利用时延嵌入的方法重构状态空间,在状态空间中使用遗传算法搜寻最优暂态束．组成暂态集。用暂态集对旋转机械轴承振动的测试数据进行分析．判断是否为故障前兆因子．从而实现故障预报。
|
| 关 键 词： | 时间序列 数据挖掘 旋转机械 故障预报 |
| 修稿时间： | 2006年3月1日 |
Fault Prediction for Rotating Machinery Based on Time Series Data Mining |
| |
| Su Shengchao,Zhang Zhengdao,Zhu Daqi.Fault Prediction for Rotating Machinery Based on Time Series Data Mining[J].Journal of Nanjing University of Aeronautics & Astronautics,2006,38(Z1):120-123. |
| |
| Authors: | Su Shengchao Zhang Zhengdao Zhu Daqi |
| |
| Abstract: | A new fault prediction method based on time series data mining is proposed.Fault symptoms are regarded as a sort of temporal patterns hidden in the time series formed by rotating machinery bear- ing vibration data.The time series is embedded into a reconstructed phase space with time-delay.In this phase space,genetic algorithms are used to search optimal temporal pattern clusters.The optimal col- lection is comprised of temporal pattern clusters and then is used to test the other bearing vibration data of the rotating machinery.Once the symptom is detected,the fault is forecasted. |
| |
| Keywords: | time series data mining rotating machinery fault prediction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
