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Proceedings Paper

The present status and development of acoustic emission technique in diagnosis of rotating machinery faults
Author(s): Yang Yu; Ping Yang
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Paper Abstract

In this paper, AE source, propagation characteristic, AE parameters, the noise and the advantages of acoustic emission method for the diagnosis are expounded. The last ten years research conclusions of many important experiments and the signal processing methods which were used for the diagnosis of rolling equipment faults are summarized. The results come from UK, USA and China, etc. The signal processing methods consist of Wavelet Transform, Wavelet Packets and Neural Network, etc. The contradictions of the results are discussed. These summaries are helpful to the new researchers. Through analyzing these results, we could conclude that although there is a lot of work to do, the diagnosis of early rolling equipment faults will be resolved by Acoustic Emission technology not vibration analysis.

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82852A (1 October 2011); doi: 10.1117/12.913545
Show Author Affiliations
Yang Yu, Shenyang Univ. of Technology (China)
Ping Yang, Shenyang Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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