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  

USING ADAPTIVE DIGITAL FILTER ARITHMETIC FOR ROTARY MACHINE RUNNING STATE IDENTIFICATION

作　　者：彭志科[1] 何永勇[1] 卢青[1] 褚福磊[1] 

机构地区：[1]清华大学精密仪器及机械学系,北京100084

出　　处：《机械工程学报》2001年第9期49-52,共4页Journal of Mechanical Engineering

基　　金：国家'九五'攀登计划项目'大型机电系统中若干动力学关键技术的 研究'资金(PD9521908Z2)资助项目。

摘　　要：用自适应数字滤波算法研究了一类运行环境复杂、没有明确评 价标准的旋转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。On-line identification the running state for kin d 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 archive d easily.

关 键 词：自适应数字滤波算法 时间序列 ARIMA模型 状态辨识 旋转机械 

分 类 号：TH17[机械工程—机械制造及自动化] TN713.7[电子电信—电路与系统]