摘要
针对凝汽器真空信号去噪声问题,根据检测环境和被测对象的特性,运用独立成分分析方法,合理引入虚拟噪声通道,并建立了凝汽器真空去噪模型。仿真实验表明:独立成分分析方法可获得很好的去噪声效果,对凝汽器真空信号去噪声有实用价值。
In view of the matter of noise cancellation of condenser vacuum signals, ICA （Independent Composition Analysis） is used in accordance with the detected conditions and the characteristics of detected objects, virtual noise channel is introduced and the deoising model for condenser vacuum signals is established. From the practice of de-noising simulation, it can identify that the ICA model is efficient for de-noising which is of great value to de-noising against condenser vacuum signal.
出处
《发电设备》
2012年第4期260-262,共3页
Power Equipment
关键词
凝汽器
真空信号
独立成分分析
虚拟通道
去噪声
condenser
vacuum signal
ICA （Independent Composition Analysis）
virtual noise channel
de-noising
