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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 295-297)

Edited by:

Pengcheng Wang, Liqun Ai, Yungang Li, Xiaoming Sang and Jinglong Bu

Pages:

2201-2204

DOI:

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

Citation:

Z. Wang et al., "Identify for Scroll Compressor Noise Using Vibration Signal Based on Neural Network", Advanced Materials Research, Vols. 295-297, pp. 2201-2204, 2011

Online since:

July 2011

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Price:

$35.00

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