图 书 馆
时变环境下的一种随机预测方法A Stochastic Methodology for Prognostics Under Time-Varying Environmental Future Profiles |
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| 课程网址: | http://videolectures.net/cidu2011_bian_stochastic/ |
| 主讲教师: | Linkan Bian |
| 开课单位: | 乔治亚理工学院 |
| 开课时间: | 2012-06-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a stochastic model of a sensor-based degradation signal for predicting, in real time, the residual lifetime of individual components subjected to a time-varying environment. We consider future environmental profi les that evolve in a deterministic manner. Unique to our model is the union of historical data with real time sensor-based data to update the degradation model and the residual life distribution (RLD) of the component within a Bayesian framework. The performance of our model is evaluated based on degradation signals from both numerical experiments and a case study using real bearing data. The results show that our approach provides more accurate estimates of the RLD, compared with benchmark models. |
| 关 键 词: | 传感器的退化信号; 随机模型; 时变环境; 组件的剩余寿命; 历史数据; 实时传感器的数据 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-10-17：cwx |
| 阅读次数: | 92 |