| 引用本文: | 胡 峰,孙国基.SISO过程突发性故障基于滑动容错拟合的在线诊断(英文)[J].控制理论与应用,2001,18(3):427~432.[点击复制] |
| HU Feng,SUN Guo-ji.Online Diagnosis of Faults Using Sliding Fault-Tolerant Fit for SISO Process[J].Control Theory and Technology,2001,18(3):427~432.[点击复制] |
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| SISO过程突发性故障基于滑动容错拟合的在线诊断(英文) |
| Online Diagnosis of Faults Using Sliding Fault-Tolerant Fit for SISO Process |
| 摘要点击 1281 全文点击 1056 投稿时间：1999-05-04 修订日期：2001-01-10 |
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| DOI编号 10.7641/j.issn.1000-8152.2001.3.021 |
| 2001,18(3):427-432 |
| 中文关键词 容错拟合 故障检测 故障幅度辨识 |
| 英文关键词 fault tolerant fit fault detection fault magnitude identification |
| 基金项目 |
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| 中文摘要 |
| 以SISO过程输出环节脉冲型故障为研究对象, 建立了过程轨线具有容错功能的滑动容错拟合算法. 以滑动容错拟合算法为基础, 构造了一组适用于多故障过程脉冲型故障的在线检测方法, 以及故障幅度的统计辨识算法. 通过理论分析和仿真计算, 证实了本文滑动容错拟合和故障在线诊断方法的有效性. |
| 英文摘要 |
| A sliding fault tolerant (SFT) algorithm is built for fitting trajectories of a SISO process when some pulse type faults arise from output components of the process. Based on the SFT algorithm, a series of practical program is given to online detect pulse type faults in process and to identify magnitudes of these faults. Simulation results show that these new methods are efficient. |