| 基于动力学模型的柔性加工设备机电系统状态监测与故障预警 |
| |
| 引用本文： | 邱静,温熙森,胡政.基于动力学模型的柔性加工设备机电系统状态监测与故障预警[J].国防科技大学学报,1998,20(3):84-88. |
| |
| 作者姓名： | 邱静 温熙森 胡政 |
| |
| 作者单位： | 国防科技大学机械电子工程与仪器系 |
| |
| 摘 要： | 在建立的加工设备机电系统精确动力学模型及对模型参数实时辨识的基础上［１］，建立柔性加工设备机电系统的状态监测模型，包括ＢＡＹＥＳ故障检测、突发故障检测及故障分析与定位等；同时利用Ｋｕｌ－ｂａｃｋ信息距离和多层递阶ＡＲ模型实现系统的状态与故障预警。在加工设备上的实验表明模型可行有效，它能排除柔性多变工况、时变性及随机干扰对监测与预警功能的影响，提高其鲁棒性和自适应能力。
|
| 关 键 词： | 柔性加工设备，机电系统，动力学模型，状态监测，故障预警 |
| 收稿时间： | 1997/9/26 0:00:00 |
Condition Monitoring and Fault Prediction of Mechanical-Electronic Systems of Flexible Machining Devices Based on Dynamics Model |
| |
| Qiu Jing,Wen Xisen and Hu zheng.Condition Monitoring and Fault Prediction of Mechanical-Electronic Systems of Flexible Machining Devices Based on Dynamics Model[J].Journal of National University of Defense Technology,1998,20(3):84-88. |
| |
| Authors: | Qiu Jing Wen Xisen and Hu zheng |
| |
| Affiliation: | Department of Mechatronic Engineering and Instrumentation, NUDT, Changsha, 410073;Department of Mechatronic Engineering and Instrumentation, NUDT, Changsha, 410073;Department of Mechatronic Engineering and Instrumentation, NUDT, Changsha, 410073 |
| |
| Abstract: | Based on the dynamics models and their identification of mechanical-electronic systems of flexible machining devices, we have built up a real condition monitoring model which includes BAYES fault detection, abrupt fault detection and fault analysis&location. Utilizing the Kullback information distance and the multilevel hierarchical AR model, we have realized the prediction and alarming of faults of flexible machining devices. The experiments on the JCS-020 Machine Center have indicated the models are feasible and valid. They can properly eliminate the influence of the changeful machining mode and process, the factors of time-varying and random disturbances on the condition monitoring, fault diagnosis and prediction, and greatly improve robustness and adaptability of monitoring and diagnosis in the FMS environments. |
| |
| Keywords: | flexible machining device mechanical-electronic system dynamics model condition monitoring fault prediction & alarming |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《国防科技大学学报》浏览原始摘要信息 |
|
点击此处可从《国防科技大学学报》下载全文 |
