A global rotor noise control method based on near-field acoustic holography and sound field reproduction

Xu, Xice; Lu, Yang; Ma, Jinchao; Shao, Mengxue

doi:10.1016/j.ast.2022.107549

Cited by 10 publications

(5 citation statements)

References 20 publications

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“…The acoustic holography method measures the sound pressure on a two-dimensional surface and uses a reconstruction algorithm to reconstruct the three-dimensional acoustic field on the surface of the sound source, finally presents the acoustic field in the form of a graph. The acoustic holography method uses not only the intensity information of the acoustic signal but also its phase information [14,15]. The result is very intuitive, and it can easily localize, quantify, and feature extract the acoustic source, as well as show the propagation path of the noise.…”

Section: Induction Motor Sound Source Identificationmentioning

confidence: 99%

“…The PULSE Reflex acoustic camera package from Brüel & Kjaer is used for the test, including the acoustic camera hardware components and the PULSE Reflex array analysis software. The acoustic holography experiment can be visualized to see the specific location of the larger points of noise radiation and can be obtained in the steady state operation of the motor state of the distribution of noise, to take measures to reduce vibration and noise to provide guidance [14]. The sound source The acoustic holography experiment can be the very intuitive observation of the specific location of the larger noise radiation point and can be detailed to obtain the distribution of the noise source when the motor is running, to take targeted measures to reduce the vibration noise of the motor to provide guidance.…”

Section: Induction Motor Sound Source Identificationmentioning

confidence: 99%

See 1 more Smart Citation

Electromagnetic noise characteristics analysis and noise traceability in induction motor

Cheng,

Wang,

Zhang

2024

J. Phys.: Conf. Ser.

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To investigate the electromagnetic vibration and noise issues in induction motors, this study employs a combined methodology of experimental, theoretical, and simulation approaches to analyze the characteristics of electromagnetic noise. Initially, a theoretical analysis of the radial electromagnetic force of the motor is conducted, followed by a simulation of the motor’s electromagnetic vibration and noise at a working condition of 3000 rpm, incorporating a Multiphysics coupled analysis of electromagnetic-vibration-noise. Vibration testing on a specific compressor motor reveals that the primary vibration noise characteristic frequency is centered around 2000 Hz. A comparison between simulation and experimental results shows a high degree of congruence, indicating the reliability of the simulation method. Subsequently, an acoustic camera kit, Brüel & Kjær PULSE Reflex, based on a beamforming method, is employed for noise source identification and acoustic holography testing at 3000 rpm, which successfully localizes the noise sources. The analysis and experiments provided herein can serve as a reference for the development of electromagnetic vibration noise suppression techniques in induction motors.

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Section: Induction Motor Sound Source Identificationmentioning

confidence: 99%

Section: Induction Motor Sound Source Identificationmentioning

confidence: 99%

Electromagnetic noise characteristics analysis and noise traceability in induction motor

Cheng,

Wang,

Zhang

2024

J. Phys.: Conf. Ser.

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“…where R is the distance between the source and the field point, that is, the distance from the sound source r Ei to the sound fieldr Hj , and k is the wave number. The first step in the ESM of NAH is to obtain the equivalent source intensity column vector W using equation (3).…”

Section: Theory Of Nah Based On Esmmentioning

confidence: 99%

“…Near-field acoustic holography (NAH) [1][2][3][4] reconstructs the acoustic quantities at the source surface and at any point in the entire three-dimensional sound field by measuring the complex acoustic pressure or vibration velocity on the near-field because of its large measuring surface and high density of sensors.…”

Section: Introductionmentioning

confidence: 99%

Application of equivalent source intensity density interpolation in near-field acoustic holography

Gao

Yang

et al. 2023

Meas. Sci. Technol.

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The spatial resolution of near-field acoustic holography based on the equivalent source method (ESM) is closely related to the number of measurement points, the higher the number of measurement points, the higher the resolution. However, the number of measurement points in the actual measurement cannot be increased infinitely. To solve the contradiction between the resolution and the number of measurement points, this paper proposes an equivalent source density interpolation method (ESDIM). First, the equivalent source intensity is obtained using the sound pressure measured by the array element and the Green function, and the equivalent source intensity density is obtained based on the equivalent source intensity and grid area. Second, the Hermite interpolation function was used to obtain the interpolated equivalent source intensity density. However, as the number of interpolated grids increased, the resolution, computation, and running time of ESDIM increased, and the number of subdivided grids per unit grid was 9-25 in this study. Finally, the sound field was reconstructed based on the obtained interpolated equivalent source intensity and Green transfer function, and the reconstruction accuracies of ESDIM and ESM were compared and analyzed. The simulation and experimental data processing results showed that the resolution of the equivalent source intensity density interpolation method was higher than that of the equivalent source method.

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“…[15]- [17]. This will be done by comparing the two algorithms namely, the LMS and RLS algorithms [18]. The research will make use of a simulated version that is constructed and programmed via MATLAB Simulink [19].…”

Section: Introductionmentioning

confidence: 99%

Development of an adaptive finite impulse response filter optimization algorithm using rough set theory

Africa

Mercado

Sim

2023

IJEECS

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Signal processing is crucial that as one sends information, there is a corresponding process to encode, decode, and clean the signal of unwanted noise and disruptions via use of filters. Due to the environment and how unpredictable it can be and how noise can come from almost anywhere, the typical filter to be used are adaptive filters. Adaptive filters are non-linear filters and have been used regularly regarding adaptive signal processing, this means that the filter changes accordingly and adapts to the environmental noise surrounding it. The world today has numerous applications for adaptive filters such as channel equalization and acoustic noise cancellation. This incentivizes the further development of this specific technology and the constant research that is ongoing. The main component when it comes to adaptive filtering is the algorithms used for the filter. This research compares the least mean square (LMS) and recursive least square (RLS) algorithms concerning their effectiveness in filtering out unwanted acoustic noises. The paper will cover the design and implementation of an optimized rough set based adaptive finite impulse response (FIR) filter for acoustic noise cancellation. The microstrip and bowtie antenna were used to relay the data. The software MATLAB was used for the simulation.

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A global rotor noise control method based on near-field acoustic holography and sound field reproduction

Cited by 10 publications

References 20 publications

Electromagnetic noise characteristics analysis and noise traceability in induction motor

Electromagnetic noise characteristics analysis and noise traceability in induction motor

Application of equivalent source intensity density interpolation in near-field acoustic holography

Development of an adaptive finite impulse response filter optimization algorithm using rough set theory

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