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.
- Manufacturing Engineering Division
Study of Microphone Array for Noise Reduction in Sound Based Micro-Tool Wear Monitoring
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Huang, C, & Lu, M. "Study of Microphone Array for Noise Reduction in Sound Based Micro-Tool Wear Monitoring." Proceedings of the ASME 2011 International Manufacturing Science and Engineering Conference. ASME 2011 International Manufacturing Science and Engineering Conference, Volume 2. Corvallis, Oregon, USA. June 13–17, 2011. pp. 235-242. ASME. https://doi.org/10.1115/MSEC2011-50099
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