| 基于独立成分分析的凝汽器真空信号去噪仿真研究 |
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| 引用本文： | 闫哲,王明春,陈贤贤. 基于独立成分分析的凝汽器真空信号去噪仿真研究[J]. 发电设备, 2012, 26(4): 260-262 |
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| 作者姓名： | 闫哲 王明春 陈贤贤 |
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| 作者单位： | 东南大学能源与环境学院,南京,210096 |
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| 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。
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| 关 键 词： | 凝汽器 真空信号 独立成分分析 虚拟通道 去噪声 |
Simulation on Noise Cancellation for Condenser Vacuum Signals based on ICA |
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| YAN Zhe , WANG Ming-chun , CHEN Xian-xian. Simulation on Noise Cancellation for Condenser Vacuum Signals based on ICA[J]. Power Equipment, 2012, 26(4): 260-262 |
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| Authors: | YAN Zhe WANG Ming-chun CHEN Xian-xian |
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| Affiliation: | (School of Energy &Environment Engineering,Southeast University,Nanjing 210096,China) |
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| Abstract: | 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 de-noising 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. |
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| Keywords: | condenser vacuum signal ICA(Independent Composition Analysis) virtual noise channel de-noising |
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