| 复杂声场中的频谱分离 |
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| 引用本文： | 顾咺,陈进,钟平.复杂声场中的频谱分离[J].振动与冲击,2002,21(1):54-56,61. |
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| 作者姓名： | 顾咺 陈进 钟平 |
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| 作者单位： | 上海交通大学振动、冲击、噪声国家重点实验室,上海,200030 |
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| 基金项目： | 国家自然科学基金“基于盲源分离的复合声频信号处理与故障诊断方法”资助，项目编号 :50 0 750 52，北京市光电转换装置与噪声信号处理技术实验室资助项目 |
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| 摘 要： | 工厂里多台机器同时运行时发出的声音和环境噪声一起构成复杂声场，每台机器的声学诊断都受到其它机器的严重干扰。用一组传声器在不同位置测得声音信号，利用盲源分离思想并结合声学故障诊断特点对混合信号进行频谱分离，得到各台机器的特征频谱结构图，使得对每台机器进行声学故障诊断成为可能。经过仿真测试和实验研究，证明了该算法的有效性，并通过讨论指出进一步研究的方向。
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| 关 键 词： | 复杂声场 盲源分离 故障诊断 频谱分离 旋转机器 振动 声学诊断 噪声 |
The Spectrum Separation in the Complex Sound Field |
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| Gu Xuan,Chen Jin,Zhong Ping.The Spectrum Separation in the Complex Sound Field[J].Journal of Vibration and Shock,2002,21(1):54-56,61. |
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| Authors: | Gu Xuan Chen Jin Zhong Ping |
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| Abstract: | In the complex sound field which,for example,is made up of the sound from several running machines and the noise from environment,the diagnosis for individual machine is severely disturbed by sound from machines surrounded.Using a set of microphones to measure the sound signal in different positions with the help of the theory of Blind Source Separation(BSS) and the knowledge of fault diagnosis,the mixed signal can be seperated to get every machine's spectrum.The algorithm is tested to be effective through simulation and experiment. |
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| Keywords: | complex sound field blind source separation fault diagnosis |
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