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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。
The adaptive digital filter algorithm is used to study the online identification of abnormal operating states of rotating machinery with complicated operating environment and no clear evaluation criteria. The adaptive digital filtering algorithm and identification principle are discussed, and the application examples are given. The results show that this method can clearly distinguish the normal state from the abnormal state. The method is computationally intensive and easy to realize online real-time identification.