AE Identification of Flanged Connection Condition in Vibration Environment

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Abstract:

On the basis of vibration testing of flanged connection structure, AE signals gathered are carried on processing with MATLAB,mainly the reconstructed signals. The concepts of characteristic frequency band and the superiority frequency band are drawn, and the layers of wavelet packet decomposition are determined, and the frequency band distributed characteristics of acoustic emission (AE) are obtained. With the percentage of wavelet packet energy band, the strengths of superiority frequency band and the relationship of torque and it are gotten quantitatively and it is found that the energy has certain regularity with the torque changing, and proposed that express its rule characteristic with wavelet packet energy spectrum rate of change this target in order to achieve the identification of the connection structure condition.

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836-843

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June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yuan Zhenming. etc. The acoustic emission technology and applies [M]. Beijing: Mechanical industry publishing house, 1985: 21-35.

Google Scholar

[2] Geng Rongsheng. Recent development of acoustic emission [J]. Non-destructive testing, 2001, 20(2): 151-158.

Google Scholar

[3] Fu Yuanjie. Recognition of metal crack acoustic emission signal and research on warning method [D]. Nanning: Guangxi University, (2006).

Google Scholar

[4] GB/T3098. 13-1996, Mechanical properties of fasteners—Torsional test and minimum torques for bolts and screws with nominal diameters 1 mm to 10 mm[S]. Beijing: Chinese standard publishing house, (1997).

DOI: 10.3403/00540502u

Google Scholar

[5] Wang Gengfeng, Tang Qingrong. Wavelet packet analyzes of the energy distributions of signals of rock AE [J]. Geotechnical investigation & surveying, 2007, 8: 69-72.

Google Scholar

[6] Li Hongkun. etc. Investigation on fault diagnosis method for reciprocating engine by using wavelet packet energy distribution [J]. Mechanical engineer, 2008, 3: 35-37.

Google Scholar

[7] Geng Zhongxing, Qu Liangsheng. The Application of Wavelet Packet to Machinery Diagnosis [J]. Signal processing, 1994(4): 244- 249.

Google Scholar

[8] Zhang Lei. Identify the defect of bearing vibration and noise with wavelet packet energy spectrum [D]. Qingdao: Ocean University of China, (2005).

Google Scholar