Noise Level Prediction by Combination Sound Signal

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Abstract:

In the paper, a new method for accuracy noise monitoring method is presented in detail. Noise level estimation and together two vibration signals have been used to predict the noise level. The results show that the sound signal method can effectively improve the accuracy of noise monitoring, which can be very useful for further research and noise control. This method is very convenient in the testing workshop.

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692-695

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September 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] L. Jie, W. Dengfeng, J. Yongsun: The Noise Source Identification and Noise Control of Automobile Gearbox, Noise and Vibration Control, Vol. 3 (2006), pp.67-69.

Google Scholar

[2] L. Lianyu, MA Xiaojiang, CAI Qingxi, Application and Research of Substituting Vibration for Sound, Approach in Test for Performance of Motorcar–Gearbox, Machine Tools and Hydraulics, Vol. 7 (2004), pp.156-158.

Google Scholar

[3] A. Dehong, H. Wenxiu, Y. Yihong: Improved combination forecast method and its application in short term load forecasting of a power system, System Engineering and Electronics, Vol. 26 (2004), pp.842-844.

Google Scholar

[4] W. Mingzan, C. Senfa: Diesel Engine Vibration Signal Prediction Based Neural Networks, Chinese Journal of mechanical engineering, Vol. 38 (2002), pp.144-147.

DOI: 10.3901/jme.2002.04.144

Google Scholar

[5] X. Xiaoli, X. Hongan, C. Aidong: A Combined Predicting Model Based on Neural Network of Variable Weighting Modulus to Rotary Sets, China Mechanical Engineering, Vol. 14 (2003), pp.332-335.

Google Scholar

[6] J. Antoni, J. Daniere, et al. Effective vibration analysis of IC engines using cyclostationarity. Part I-A methodology for condition monitoring. Journal of Sound and Vibration, Vol. 257 (2002), pp.815-837.

DOI: 10.1006/jsvi.2002.5062

Google Scholar