OPTIMAL NOISE CONTROL ON PLANT USING SIMULATED ANNEALING

2008 ◽  
Vol 32 (3-4) ◽  
pp. 423-438 ◽  
Author(s):  
Tian-Syung Lan ◽  
Min-Chie Chiu
Keyword(s):  
Simulated Annealing ◽  
Occupational Safety ◽  
Noise Control ◽  
Simulated Data ◽  
Noise Sources ◽  
Economic Allocation ◽  
Plant Area ◽  
Sound Simulation ◽  
Accuracy Check ◽  
Machine Allocation

Noise control is important and essential in a manufacturing factory, where the noise level is restricted by the Occupational Safety and Health Act. Several researches on new techniques of single noise control have been well addressed and developed; however, the study of noise depression on the whole plant noise by using optimum allocation planning is hardly found. An improper machine allocation will not only result in the tremendous cost on noise control task, but also cause the harmful environment for the neighborhood; therefore, the approach of optimum and economic allocation of noise sources within a constrained plant area becomes crucial and obligatory. In this paper, a novel technique of simulated annealing (SA) is applied in the numerical optimization, and the multi-noise plant with various sound monitoring systems is also introduced. Before optimization, the single noise is tested and compared with the simulated data from SoundPlan, a commercial sound simulation package, for the accuracy check of the mathematical model. The result reveals to be within good agreements. The proposed SA optimization on the allocation of multi-noise plant surely provides an economic and effective methodology in reducing the sound accumulation around the plant boundary.

Noise identification in reverberant sound field by using simulated annealing

2008 ◽  
Vol 222 (2) ◽  
pp. 163-179 ◽  
Author(s):  
M-C Chiu
Keyword(s):  
Simulated Annealing ◽  
Noise Level ◽  
Occupational Safety ◽  
Noise Control ◽  
Free Field ◽  
Research Work ◽  
Sound Field ◽  
Noise Condition ◽  
Field Noise ◽  
Noise Identification

Noise control is important and essential in an enclosed machine room where the noise level is restricted by the occupational safety and health act. Before the appropriate noise abatement is performed, the identification work of location and free-field sound energy of equipment inside the reverberant sound field become crucial and an absolute prerequisite. Research on new techniques of single noise control and sound absorption system has been well addressed and developed; however, the research work on sound identification for an existing multi-noise enclosed room is rare and observably insufficient. Without the actual location and pure free-field noise level, noise control work will be improper and wasted; therefore, the numerical approach of noise recognition from the reverberant sound field becomes necessary and obligatory. In this paper, the novel technique of simulated annealing (SA) in conjunction with the method of minimized variation square is applied in the following numerical optimization. In addition, various sound monitoring systems in detecting the noise condition within the echo area is also introduced. Before noise identification can be carried out, the accuracy of the mathematical model in a single-noise enclosed system has to be checked by SoundPlan (a professional simulation package in sound field). Thereafter, the SA recognition of three kinds of multi-noise systems has to be exemplified and fully explored. The results reveal that either the locations or sound power levels (SWLs) of noises can be precisely distinguished. Consequently, this paper may provide an efficient and rapid way in distinguishing the location and free-field noise level of equipment in a complicated sound field.

scholarly journals An Evaluation of Active Noise Control in a Cylindrical Shell

1989 ◽  
Vol 111 (3) ◽  
pp. 337-342 ◽  
Author(s):  
R. J. Silcox ◽  
H. C. Lester ◽  
S. B. Abler
Keyword(s):  
Cylindrical Shell ◽  
Analytical Model ◽  
Noise Control ◽  
Active Noise Control ◽  
Effective Control ◽  
Elastic Cylindrical Shell ◽  
Noise Sources ◽  
Active Noise ◽  
Fixed Array ◽  
Forced Responses

This paper examines the physical mechanisms governing the use of active noise control in an extended volume of a cylindrical shell. Measured data were compared with computed results from a previously derived analytical model based on infinite shell theory. For both the analytical model and experiment, the radiation of external monopoles is coupled to the internal acoustic field through the radial displacement of the thin, elastic, cylindrical shell. An active noise control system was implemented inside the cylinder using a fixed array of discrete monopole sources, all of which lie in the plane of the exterior noise sources. Good agreement between measurement and prediction was obtained for both internal pressure response and overall noise reduction. Attenuations in the source plane greater than 15 dB were recorded along with a uniformly quieted noise environment over an indicative length inside the experimental model. Results indicate that for forced responses with extended axial distributions, axial arrays of control sources may be required. Finally, the Nyquist criteria for the number of azimuthal control sources is shown to provide for effective control over the full cylinder cross section.

scholarly journals Multichannel Feedforward Active Noise Control System with Optimal Reference Microphone SelectorBased on Time Difference of Arrival

2018 ◽  
Vol 8 (11) ◽  
pp. 2291 ◽  
Author(s):  
Kenta Iwai ◽  
Satoru Hase ◽  
Yoshinobu Kajikawa
Keyword(s):  
Noise Control ◽  
Acoustic Noise ◽  
Control Point ◽  
Active Noise Control ◽  
Broadband Noise ◽  
Time Difference ◽  
Arrival Direction ◽  
Noise Sources ◽  
Time Difference Of Arrival ◽  
Active Noise

In this paper, we propose a multichannel active noise control (ANC) system with an optimal reference microphone selector based on the time difference of arrival (TDOA). A multichannel feedforward ANC system using upstream reference signals can reduce various noises such as broadband noise by arranging reference microphones close to noise sources. However, the noise reduction performance of an ANC system degrades when the noise environment changes, such as the arrival direction. This is because some reference microphones do not satisfy the causality constraint that the unwanted noise propagates to the control point faster than the anti-noise used to cancel the unwanted noise. To solve this problem, we propose a multichannel ANC system with an optimal reference microphone selector. This selector chooses the reference microphones that satisfy the causality constraint based on the TDOA. Some experimental results demonstrate that the proposed system can choose the optimal reference microphones and effectively reduce unwanted acoustic noise.

A Review of Active Noise Control Applications on Noise Barrier in Three-Dimensional/Open Space: Myths and Challenges

2019 ◽  
Vol 18 (04) ◽  
pp. 1930002 ◽  
Author(s):  
Hsiao Mun Lee ◽  
Zhaomeng Wang ◽  
Kian Meng Lim ◽  
Heow Pueh Lee
Keyword(s):  
Open Space ◽  
Noise Control ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Construction Site ◽  
Noise Sources ◽  
Current State ◽  
Active Noise ◽  
Noise Barrier ◽  
Passive Noise

Active noise control (ANC), with counteracting sound in exact equal magnitude and opposite phase to the noise to be controlled, is often considered as a potential solution for solving complex noise problems. However, there are both myths and challenges in its implementations. In a crowded city like Singapore, many noise sources from construction site and subway track are located very close to the residential and commercial buildings. It was suggested by few researchers that by placing suitable control speakers at the construction site (working principle of ANC), the noise from the construction site could be prevented from propagating to the surrounding buildings. Similarly, for viaduct or subway track, by placing control speakers along the viaduct or track, the noise generated by the passing trains or vehicles could be reduced based on the principle of ANC technique. However, implementation of ANC technique on these noise issues is not easy as all of these noise control problems involve multiple noise sources with complex or transient frequency spectrum in large three-dimensional/open space. Therefore, the main intention of the present paper is to discuss the current state of the art of this topic as well as to examine the potential application and limitation of the ANC technique in mitigating unwanted noise, particularly in large three-dimensional/open space and with cooperation of passive noise barrier.

Development of Natural Fibre Non-Woven Materials’ Application as Car Interiors for Noise Reduction

2011 ◽  
Vol 332-334 ◽  
pp. 1531-1534 ◽  
Author(s):  
Ming Ma ◽  
Yuan Bai ◽  
Xiao Ming Qian
Keyword(s):  
Noise Reduction ◽  
Reference Point ◽  
Sound Absorption ◽  
Noise Control ◽  
Natural Fibre ◽  
Noise Sources ◽  
Absorption Properties ◽  
Vehicle Noise ◽  
Nonwoven Materials ◽  
Potential Market

This document mainly introduces the evaluation of vehicle noise, noise sources and noise control. The development of fibers used for noise reduction materials is described as well. Besides, it analyzes the advantages and the necessities of the natural fibre nonwoven materials applied for the noise control, illustrates the present research status and the factors that introduces the sound absorption properties of the natural fibre nonwoven composites used for noise reduction. The paper also gives some reference point for advice to the development of automotive nonwoven materials. it shows that natural fibre nonwoven materials have a huge potential market and worthy for scholars to make a further study.

scholarly journals Optimal Stratification and Allocation for the June Agricultural Survey

2018 ◽  
Vol 34 (1) ◽  
pp. 121-148
Author(s):  
Jonathan Lisic ◽  
Hejian Sang ◽  
Zhengyuan Zhu ◽  
Stephanie Zimmer
Keyword(s):  
Machine Learning ◽  
Simulated Annealing ◽  
Simulated Data ◽  
R Package ◽  
Computational Approach ◽  
Machine Learning Method ◽  
Learning Method ◽  
Computationally Efficient ◽  
Computational Speed ◽  
Efficient Machine

Abstract A computational approach to optimal multivariate designs with respect to stratification and allocation is investigated under the assumptions of fixed total allocation, known number of strata, and the availability of administrative data correlated with thevariables of interest under coefficient-of-variation constraints. This approach uses a penalized objective function that is optimized by simulated annealing through exchanging sampling units and sample allocations among strata. Computational speed is improved through the use of a computationally efficient machine learning method such as K-means to create an initial stratification close to the optimal stratification. The numeric stability of the algorithm has been investigated and parallel processing has been employed where appropriate. Results are presented for both simulated data and USDA’s June Agricultural Survey. An R package has also been made available for evaluation.

Identification and Ranking of Noise Sources on a Jumbo Drill Machine During Operation

2017 ◽  
Author(s):  
Hugo E. Camargo ◽  
Jeffrey S. Peterson ◽  
Amanda S. Azman
Keyword(s):  
Hearing Loss ◽  
Occupational Safety ◽  
Noise Exposure ◽  
Mining Industry ◽  
Drill String ◽  
Noise Sources ◽  
Transfer Path ◽  
Safety And Health ◽  
Conducting Research ◽  
Drill Holes

Noise-induced hearing loss (NIHL) is the second most prevalent illness in the mining industry. According to a study conducted by the National Institute for Occupational Safety and Health (NIOSH), in which over 42,000 audiograms from metal/nonmetal miners were analyzed, approximately 70% of miners have hearing impairment as compared to 9% of non-occupationally noise-exposed workers. One of the machines used extensively in metal/nonmetal mines responsible for high noise exposure levels of its operators is the jumbo drill, used to drill holes at the mines for blasting purposes. In this context, NIOSH is conducting research to develop engineering noise controls for jumbo drills that would reduce the prevalence of hearing loss among operators of this equipment. The first step of the noise control development process consists of identifying and ranking dominant noise sources present during operation of the jumbo drill. To this end, a noise study was conducted at NIOSH’s laboratories in which a microphone phased array system was used to identify dominant noise sources, and the transfer path analysis method was used to rank these sources based on their contribution to the operator location. Results showed that the drill string and the drilling mechanism — known as the drifter — are the dominant sound-radiating components in the operation of the jumbo drill.

Reducing Employee Noise Exposure in Manufacturing: A Review of the 2014 workshop

2021 ◽  
Vol 263 (1) ◽  
pp. 5272-5282
Author(s):  
William Murphy
Keyword(s):  
Hearing Loss ◽  
Occupational Safety ◽  
Noise Exposure ◽  
Noise Control ◽  
Loss Prevention ◽  
Control Engineering ◽  
New Techniques ◽  
Safety And Health ◽  
Buy Quiet ◽  
Innovative Techniques

In 2014, the Institute for Noise Control Engineering (INCE) Foundation, the Noise Control Foundation and the National Institute for Occupational Safety and Health organized a meeting of industry, government, and academic experts to discuss "Reducing Noise Exposures in the Manufacturing: Best Practices, Innovative Techniques, and the Workplace of the Future." This presentation will review the content of the recommendations for hearing loss prevention programs, successful implementations for noise control engineering, and new techniques to predict noise exposures in the workplace. Efforts to develop Buy Quiet programs and to promote the Safe-in-Sound Excellence in Hearing Loss Prevention and Innovation will be reviewed.

scholarly journals An adaptive algorithm, based on modified tanh non-linearity and fractional processing, for impulsive active noise control systems

2017 ◽  
Vol 37 (3) ◽  
pp. 495-508 ◽  
Author(s):  
Muhammad T Akhtar
Keyword(s):  
Adaptive Algorithm ◽  
Noise Control ◽  
Active Noise Control ◽  
Main Idea ◽  
Nonlinear Process ◽  
Order Moment ◽  
Least Mean Square ◽  
Noise Sources ◽  
Active Noise ◽  
Gradient Computation

This paper presents an adaptive algorithm for active control of noise sources that are of impulsive nature. The impulsive type sources can be better modeled as a stable distribution than the Gaussian. However, for stable distributions, the variance (second order moment) is infinite. The standard adaptive filtering algorithms, which are based on minimizing variance and assuming Gaussian distribution, converge slowly or become even unstable for stable (impulsive) processes. In order to improve the performance of the standard filtered-x least mean square (FxLMS)-based impulsive active noise control (IANC) systems, we propose two enhancements in this paper. First, we propose employing modified tanh function-based nonlinear process in the reference and error paths of the standard FxLMS algorithm. The main idea is to automatically give an appropriate weight to the various samples in the process, i.e. appropriately threshold the very large values so that system remains stable, and give more weight to samples below threshold limit so that the convergence speed can be improved. A second proposal is to incorporate the fractional-gradient computation in the update vector of IANC adaptive filter. Computer simulations have been carried out using experimental data for the acoustic paths. The simulation results demonstrate that the proposed algorithm is very effective for IANC systems.

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