• CN:11-2187/TH
  • ISSN:0577-6686

›› 2001, Vol. 37 ›› Issue (9): 49-52.

• 论文 • 上一篇    下一篇

自适应数字滤波算法应用于旋转机械运行状态辨识的研究

彭志科;何永勇;卢青;褚福磊   

  1. 清华大学精密仪器及机械学系
  • 发布日期:2001-09-15

USING ADAPTIVE DIGITAL FILTER ARITHMETIC FOR ROTARY MACHINE RUNNING STATE IDENTIFICATION

Peng Zhike;He Yongyong;Lu Qing;Chu Fulei   

  1. Qinghua University
  • Published:2001-09-15

摘要: 用自适应数字滤波算法研究了一类运动环境复杂、没有明确评价标准的放置机械的异常运行状态的在线辨识问题。讨论了自适应数字滤波算法和辨识原理,并给出了应用实例。结果表明,该方法可以把正常状态和异常状态明确地区分开来。该方法计算量小,容易实现在线实时辨识。

关键词: ARIMA模型, 时间序列, 状态辨识, 自适应数字滤波算法

Abstract: On-line identification the running state for kind of rotary machines, which are often running under complicated condition and have not clear evaluation criterion for states, is studied by adaptive digital filter arithmetic. The adaptive digital filter arithmetic and the identification principle are discussed, an application example is given, and the result indicates that the method can discriminate between normal states and abnormal states. By this method, computation cost is low, and on-line identification can be archived easily.

Key words: Adaptive digital filter arithmetic, ARIMA model, State identification, Time series

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