Study and Improving on Adaptive Filter

Hong Xia Pan; Ying Ying Zhang

doi:10.4028/www.scientific.net/AMM.121-126.1392

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Study and Improving on Adaptive Filter

Study and Improving on Adaptive Filter

Abstract:

In this paper the principle of adaptive filter and various least mean square (LMS) adaptive filter algorithm is studied, based on the related hyperbolic tangent function LMS algorithm is presented, referred to as CTanh-LMS algorithm. Simulation results show that, compared with other adaptive filter algorithm, this method has better denoising ability, and the algorithm is simple, fast convergence rate, and can satisfy the gearbox vibration signal denoising requirements. The proposed algorithm can not only solve the gearbox fault feature extraction, and give adaptive filter algorithm research provides a new means, has important theoretical significance and practical value.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

1392-1396

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.1392

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Online since:

October 2011

Authors:

Hong Xia Pan, Ying Ying Zhang

Keywords:

Adaptive Filter, Adaptive Noise Cancellation, CTanh-LMS Algorithm, Feature Extraction

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References

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