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    • 28. 发明授权
    • Method and apparatus for predicting electric induction machine failure
during operation
    • 运行期间电感电机故障预测方法及装置
    • US5629870A
    • 1997-05-13
    • US251814
    • 1994-05-31
    • Samir F. FaragThomas G. HabetlerJay H. Schlag
    • Samir F. FaragThomas G. HabetlerJay H. Schlag
    • G01R31/34G01R23/00
    • G01R31/343Y10S706/912
    • Methods and apparatus for identifying in real time an operating condition of an in-service electrical device which draws a power load by monitoring spectral content of the power signature and associating spectral components with device operating conditions. In the preferred embodiment, motor (12) power line current signature is sampled by data conditioning sampler (18). Preprocessor (30) spectrally separates the current signature into plural frequency domain components having respective frequency and magnitude values. Spectral characteristic component selector filter (40) selects for analysis at least one specific spectral component by referencing a base of stored knowledge of operational characteristics of the motor. A neural network (50) associates without supervision the selected detected spectral component with an operating condition of the motor (12). The base of stored knowledge is updated with new operating condition associations which have been made during real-time monitoring. A post processor (60) may enunciate the association to a user via an output device and it may generate a control signal to operate electrical distribution system protection or control apparatus.
    • 用于通过监视功率签名的频谱内容并将频谱分量与设备操作条件相关联来实时识别在役电气设备的操作状态的方法和装置,其绘制功率负载。 在优选实施例中,马达(12)电力线电流签名由数据调节采样器(18)采样。 预处理器(30)将当前签名频谱地分离成具有各自频率和幅度值的多个频域分量。 光谱特征分量选择器滤波器(40)通过参考存储的电动机操作特性知识的基础来选择用于分析至少一个特定频谱分量。 神经网络(50)在没有监视的情况下将所选择的检测到的频谱分量与电机(12)的操作条件相关联。 存储知识的基础是在实时监控期间进行的新的操作条件关联的更新。 后处理器(60)可以经由输出设备向用户发出关联,并且可以产生控制信号以操作配电系统保护或控制装置。