Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.5
Journals
Applied Sciences
Special Issues
Noise Measurement, Acoustic Signal Processing and Noise Control
share announcement

Noise Measurement, Acoustic Signal Processing and Noise Control

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 1106

Special Issue Editor

Dr. Yat Sze Choy

E-Mail Website
Guest Editor
Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong
Interests: sound-induced vibration; noise control; building acoustics; environmental noise measurement and control; sound source identification
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Noise measurement, acoustic signal processing, and noise control are all related fields and they are very important for system analyses, experimental validation, and the manipulation of unwanted signals or noise. Noise measurement and signal processing involve quantifying the level and characteristics of a signal or noise and manipulating and interpreting signals in a system or environment. Acoustic signal processing also encompasses a wide range of techniques and algorithms that are used to extract meaningful information from signals, enhance signal quality, and remove or reduce noise. This processing can also involve multiple sensors in different locations and different algorithms. Noise control aims to reduce or eliminate unwanted noise to create a more desirable acoustic environment, based on noise measurements and signal processing. Noise control can be achieved through sound insulation, vibration isolation, active noise cancellation, sound reflections due to impedance mismatch or vibro-acoustic coupling, or the absorption of sound by porous materials, microperforated structures, or meta-materials. Therefore, the topic of noise measurement, acoustic signal processing, and noise control encompasses a range of multidisciplinary areas, including the development of technology, algorithm establishment, measurements, sensor arrangement, the signal processing of acoustics, vibration and machinery signals, signals from fluid dynamics, and the development and analysis of noise control technology. All papers on technology used for these purposes and its applications are welcome.

Dr. Yat Sze Choy
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sound source generation
  • sound source identification and characterization
  • signal processing
  • signal reconstruction
  • signal analysis
  • vibration signal analysis
  • automobile or vehicle noise
  • machinery noise
  • structural failure diagnoses
  • sensor arrangement
  • noise control
  • sound absorption
  • sound reflection
  • noise reduction

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

22 pages, 6169 KiB  
Article
Design of Robust Broadband Frequency-Invariant Broadside Beampatterns for the Differential Loudspeaker Array
by Yankai Zhang, Hongjian Wei and Qiaoxi Zhu
Appl. Sci. 2024, 14(14), 6383; https://doi.org/10.3390/app14146383 - 22 Jul 2024
Viewed by 298
Abstract
The directional loudspeaker array has various applications due to its capability to direct sound generation towards the target listener and reduce noise pollution. Differential beamforming has recently been applied to the loudspeaker line array to produce a broadside frequency-invariant radiation pattern. However, the [...] Read more.
The directional loudspeaker array has various applications due to its capability to direct sound generation towards the target listener and reduce noise pollution. Differential beamforming has recently been applied to the loudspeaker line array to produce a broadside frequency-invariant radiation pattern. However, the existing methods cannot achieve a compromise between robustness and broadband frequency-invariant beampattern preservation. This paper proposed a robust broadband differential beamforming design to allow the loudspeaker line array to radiate broadside frequency-invariant radiation patterns with robustness. Specifically, we propose a method to determine the ideal broadside differential beampattern by combining multiple criteria, namely null positions, maximizing the directivity factor, and achieving a desired beampattern with equal sidelobes. We derive the above ideal broadside differential beampattern into the target beampattern in the modal domain. We propose a robust modal matching method with Tikhonov regularization to optimize the loudspeaker weights in the modal domain. Simulations and experiments show improved frequency-invariant broadside beamforming over the 250–4k Hz frequency range compared with the existing modal matching and null-constrained methods. Full article
(This article belongs to the Special Issue Noise Measurement, Acoustic Signal Processing and Noise Control)
►▼ Show Figures

Figure 1

20 pages, 9785 KiB  
Article
Evaluation of Noise-Reduction Techniques for Gas-Turbine Test Stands: A Preliminary Analysis
by Laurentiu Cristea and Marius Deaconu
Appl. Sci. 2024, 14(13), 5702; https://doi.org/10.3390/app14135702 - 29 Jun 2024
Viewed by 412
Abstract
Emphasizing the importance of acoustic attenuation in maintaining compliance with stringent noise regulations and enhancing workplace safety, this analysis covers theoretical and practical aspects of prediction methods used for the development of sound attenuators for gas-turbine testing stands. This paper presents a preliminary [...] Read more.
Emphasizing the importance of acoustic attenuation in maintaining compliance with stringent noise regulations and enhancing workplace safety, this analysis covers theoretical and practical aspects of prediction methods used for the development of sound attenuators for gas-turbine testing stands. This paper presents a preliminary analysis and evaluation of the improvement of the Embleton method for projecting a noise attenuator for industrial applications, especially for gas-turbine test stands. While primarily focusing on the static acoustic behavior of the attenuator, certain considerations were also made regarding flow conditions, Mach number-dependent attenuation, pressure drop, and self-generated noise aspects to provide a comprehensive perspective on applying a suitable evaluation method. The study investigates different calculation methods for the assessment of noise reduction for linear and staggered baffles applied on a scaled reduced model of an attenuator. Thus, the critical parameters and development requirements necessary for effective noise reduction in high-performance gas-turbine testing environments will be evaluated in a downscaled model. Key factors examined include the selection of design parameters and configurations from various topological options (single, double, and triple parallel baffles vs. double and triple staggered baffles). Advanced computational methods, like analytic and finite-element analysis (FEM), are used to predict acoustic performance and evaluate the prediction method. Experimental validation is performed to corroborate the simulation results, ensuring the reliability and efficiency of the attenuator. The results indicate that an improved prediction method led to a better design for a sound-attenuator module, which can significantly reduce noise levels without compromising the operational performance of the gas turbine inside a test cell. Full article
(This article belongs to the Special Issue Noise Measurement, Acoustic Signal Processing and Noise Control)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop