Identify for Scroll Compressor Noise Using Vibration Signal Based on Neural Network

被引：2

作者：

Wang, Zhen ^{[1
]}

Chen, Dali ^{[1
]}

Zhao, Hongjian ^{[1
]}

机构：

[1] Dalian Univ, Inst Vibrat & Noise, Dalian 116622, Liaoning, Peoples R China

来源：

MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-3 | 2011年 / 295-297卷

关键词：

Scroll Compressor; Neural Network; Vibration; Noise;

D O I：

10.4028/www.scientific.net/AMR.295-297.2201

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

From the theory of structure-bone sound radiation, the properties of vibration and noise of scroll compressor are analyzed, and the relationship of them is researched. On the basis of the analysis, the feasibility for measuring noise level using vibration signal is demonstrated. Then, the noise radiant efficiency curve is plotted using the test data, and disadvantages of this mean are pointed out. At last, a new method of measuring noise level using vibration signal, which is proved in practice effectively, is presented based on neural network.

引用

页码：2201 / 2204

页数：4

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