摘要
从结构声辐射原理出发,研究了涡旋压缩机表面振动信号与噪声信号特性,以及它们之间的相关性,进而阐述了利用其表面振动信号实现其噪声测量的可行性;然后,通过试验获取了其表面声辐射效率曲线,由分析结果指出了目前结构声测量的弊端;最后,提出了基于神经网络噪声的振动加速度测量新方法,并在工程中得到了较好地验证。
From the theory structure-bone sound radiation, the properties of scroll compressor vibration and noise are analyzed ,and the relationship of them is researched. On basis of analysis ,the feasibility for measuring noise level using vibration signal is demonstrated fourthly. Then, the noise radiant efficiency curve is plot using test data, and disadvantages of this mean are pointed out. At last, the new method for measuring noise level using vibration signal ,which is proved in practice effectively, is presented based on neural network.
出处
《压缩机技术》
2008年第4期4-6,共3页
Compressor Technology
基金
大连市科技攻关项目(2004A1GX073)
关键词
涡旋压缩机
神经网络
振动信号
噪声
scroll compressor
neural network
vibration signal
noise
