References
- Kim, J. M., "The Health Effects of Industrial Noise," Journal of Korean society of Environmental Engineers, Vol. 29, No. 2, pp. 131-137, 2007.
- Lin, J. and Qu, L., "Feature Extraction Based on Morlet Wavelet and its Application for Mechanical Fault Diagnosis," Journal of Sound and Vibration, Vol. 234, No. 1, pp. 135-148, 2000. https://doi.org/10.1006/jsvi.2000.2864
- Park, S. J, Chung, W. S., Lee, S. Y., and Chung, T. J., "Fault Diagnosis of a Pump Using Acoustic and Vibration Signals," Proc. of KSPE Autumn Conference, pp. 883-887, 2002.
- Jung, J. H, Lee, G. Y., Kang, M. C., Kim, J. S., Lee, H. U., and et al., "Identification of Abnormal Compressor using Wavelet Transform," J. Korean Soc. Precis. Eng., No. 11, pp. 361-364, 1997.
- Yang, J. Y., Ha, M. K., Koo, Y., Yoon, M. C., Kwak, J. S., and Jung, J. S., "Detection of tool Failure by Wavelet Transform," Proc. of KSPE Spring Conference, pp. 1063-1066, 2002.
- Ha, M. K., Kwak, J. S., Jin, I. T., Kim, B. T., and Yang, J. Y., "Analysis and Denoising of Cutting Force Using Wavelet Transform," J. Korean Soc. Precis. Eng., Vol. 19, No. 12, pp. 78-85, 2002.
- Seo, Y. S., Ha, H. U., and Lee, J. M., "The Recognition Algorithm of Bad-Insulator using Microphone Array," Proc. of KIIS Spring Conference, Vol. 20, No. 1, pp. 75-78, 2010.
- Kim, K. H. and Kim, Y. H., "Noise Source Localization using Comparison between Candidate Signal and Beam-Former Output in Time Domain," Proc. of the Korean Society for Noise and Vibration Engineering Conference, No. 2, Paper No. 543, 2010.
- Seo, D. H., Jeon, J. H., Park, C. S., and Kim, Y. H., "Peridic Impulse Train Source Localization by using Beam-Forming Method in Time Domain," Proc. of Korean Society for Noise and Vibration Engineering conference, pp. 492-493, 2009.
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