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首页> 外文会议>ASME international manufacturing science and engineering conference 2011 >Study of Microphone Array for Noise Reduction in Sound Based Micro-Tool Wear Monitoring
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Study of Microphone Array for Noise Reduction in Sound Based Micro-Tool Wear Monitoring

机译：基于声音的微工具磨损监测中用于降噪的麦克风阵列的研究

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摘要

An experienced technician can usually identify the cutting condition by hearing the sound generated during the cutting and the sound signal can be expected to detect the features closely related to the tool condition. However, the background noise always contaminates the signal obtained by microphone system during cutting and reduces the chance of applying the sound based micro tool condition monitoring system in industry. In order to reduce the noise effect and improve the system performance, a microphone array integrated with Wiener filter was designed and implemented in this study to enhance the noise reduction capability for monitoring system. The experimental results show that the microphone array integrated with Wiener filter provides a better solution than single microphone integrated with Wiener filter or the microphone array without the post filter design in reducing the broadband background noise.
机译：经验丰富的技术人员通常可以通过听见切削过程中产生的声音来确定切削条件，并且可以预期声音信号会检测出与刀具条件密切相关的特征。然而，背景噪声在切割期间总是污染麦克风系统获得的信号，并减少了在工业中应用基于声音的微型工具状态监测系统的机会。为了降低噪声影响并提高系统性能，本研究设计并实现了集成了维纳滤波器的麦克风阵列，以增强监听系统的降噪能力。实验结果表明，与集成有维纳滤波器的单个麦克风或没有后置滤波器设计的麦克风阵列相比，集成有维纳滤波器的麦克风阵列在降低宽带背景噪声方面提供了更好的解决方案。

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