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An Improved ANC Algorithm for the Attenuation of Industrial Fan Noise

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Abstract

Purpose

In this article, a new ANC algorithm is proposed to attenuate the noise of industrial fans. It was named MC-FXLMS/F algorithm. It has showed to have a higher level of attenuation in comparison to other classical algorithms found in the literature. It is seen that the performance of the MC-FXLMS/F is superior when applying specific levels for the reference signal and also considering a substantial number of filter coefficients.

Methods

In the literature, it is possible to find different methods to perform the attenuation of the noise generated by the blades pass frequency, being one of the methods the active noise control. As it is possible to predict the periodicity of noise generated by fans, it is possible to use synthesized signals to be used as a reference signal for an active noise control system. In this work, two classical ANC algorithms, namely the FXLMS and the C-FXLMS/F were also evaluated and implemented. They were compared to the new algorithm. in terms of efficiency (for different types of synthesized and narrowband reference signals). The power spectral density results were presented for variations in the signal levels with and without active noise control.

Results

The results showed the applicability of using pure tones to attenuate specific frequencies of the noise spectrum. The algorithms C-FXLMS/F and MC-FXLMS/F were shown to be more sensitive to high levels of the reference signal in contrast to the FXLMS algorithm that benefits from higher levels.

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Acknowledgements

This work was supported by CNPq (National Council for Scientific and Technological Development) and UFMG (Federal University of Minas Gerais).

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Authors and Affiliations

  1. Structure Engineering Department, Fed. Univ. Minas Gerais, Av Antonio Carlos 6627, Belo Horizonte, 31270-901, Brazil

    Fernando Basílio Félix & Max de Castro Magalhães

  2. Mechanical Engineering Department, Fed. Univ. Minas Gerais, Av Antonio Carlos 6627, Belo Horizonte, 31270-901, Brazil

    Guilherme de Souza Papini

Authors
  1. Fernando Basílio Félix
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  2. Max de Castro Magalhães
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  3. Guilherme de Souza Papini
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Correspondence to Fernando Basílio Félix.

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Félix, F.B., de Castro Magalhães, M. & de Souza Papini, G. An Improved ANC Algorithm for the Attenuation of Industrial Fan Noise. J. Vib. Eng. Technol. 9, 279–289 (2021). https://doi.org/10.1007/s42417-020-00225-2

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  • DOI: https://doi.org/10.1007/s42417-020-00225-2

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