[1] Wang Jiajun, Xu Feiyun,. Improved adaptive filter and its applicationin acoustic emission signals [J]. Journal of Southeast University (English Edition), 2019, 35 (1): 43-50. [doi:10.3969/j.issn.1003-7985.2019.01.007]

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

35

Issue:

2019 1

Page:

43-50

Research Field:

Materials Sciences and Engineering

Publishing date:

2019-03-30

Info

Title:

Improved adaptive filter and its applicationin acoustic emission signals

Author(s):

Wang Jiajun;  Xu Feiyun

School of Mechanical Engineering, Southeast University, Nanjing 211189, China

Keywords:

acoustic emission;  adaptive filtering;  envelope demodulation;  least mean square(LMS)algorithm;  variable iteration step

PACS:

TG115.28

DOI:

10.3969/j.issn.1003-7985.2019.01.007

Abstract:

In order to de-noise and filter the acoustic emission(AE)signal, the adaptive filtering technology is applied to AE signal processing in view of the special attenuation characteristics of burst AE signal. According to the contradiction between the convergence speed and steady-state error of the traditional least mean square(LMS)adaptive filter, an improved LMS adaptive filtering algorithm with variable iteration step is proposed on the basis of the existing algorithms. Based on the Sigmoid function, an expression with three parameters is constructed by function translation and symmetric transformation.As for the error mutation, e(k)and e(k-1)are combined to control the change of the iteration step. The selection and adjustment process of each parameter is described in detail, and the MSE is used to evaluate the performance. The simulation results show that the proposed algorithm significantly increases the convergence speed, reduces the steady-state error, and improves the performance of the adaptive filter. The improved algorithm is applied to the AE signal processing, and the experimental signal is demodulated by an empirical mode decomposition(EMD)envelope to obtain the upper and lower envelopes. Then, the expected function related to the AE signal is established. Finally, the improved algorithm is substituted into the adaptive filter to filter the AE signal. A good result is achieved, which proves the feasibility of adaptive filtering technology in AE signal processing.

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Memo

Memo:

Biographies: Wang Jiajun(1993—), male, graduate; Xu Feiyun(corresponding author), male, doctor, professor, fyxu@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.51575101).
Citation: Wang Jiajun, Xu Feiyun.Improved adaptive filter and its application in acoustic emission signals[J].Journal of Southeast University(English Edition), 2019, 35(1):43-50.DOI:10.3969/j.issn.1003-7985.2019.01.007.

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