Identify for Scroll Compressor Noise Using Vibration Signal Based on Neural Network

Zhen Wang; Da Li Chen; Hong Jian Zhao

doi:10.4028/www.scientific.net/AMR.295-297.2201

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 295-297Identify for Scroll Compressor Noise Using...

Identify for Scroll Compressor Noise Using Vibration Signal Based on Neural Network

Abstract:

From the theory of structure-bone sound radiation, the properties of vibration and noise of scroll compressor are analyzed, and the relationship of them is researched. On the basis of the analysis, the feasibility for measuring noise level using vibration signal is demonstrated. Then, the noise radiant efficiency curve is plotted using the test data, and disadvantages of this mean are pointed out. At last, a new method of measuring noise level using vibration signal, which is proved in practice effectively, is presented based on neural network.

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Manufacturing Science and Technology, AEMT2011

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Periodical:

Advanced Materials Research (Volumes 295-297)

Pages:

2201-2204

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.295-297.2201

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Online since:

July 2011

Authors:

Zhen Wang, Da Li Chen, Hong Jian Zhao

Keywords:

Neural Network (NN), Noise, Scroll Compressor, Vibration

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References

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