Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 295-297)
Chapter
Chapter 7: Common Aspects of Manufacturing
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, D. L. Chen, H. J. Zhao, "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
Export
Price
$32.00
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