Literature DB >> 24214295

Objective approach for analysis of noise source characteristics and acoustic conditions in noisy computerized embroidery workrooms.

Mohsen Aliabadi1, Rostam Golmohammadi, Muharram Mansoorizadeh.   

Abstract

It is highly important to analyze the acoustic properties of workrooms in order to identify best noise control measures from the standpoint of noise exposure limits. Due to the fact that sound pressure is dependent upon environments, it cannot be a suitable parameter for determining the share of workroom acoustic characteristics in producing noise pollution. This paper aims to empirically analyze noise source characteristics and acoustic properties of noisy embroidery workrooms based on special parameters. In this regard, reverberation time as the special room acoustic parameter in 30 workrooms was measured based on ISO 3382-2. Sound power quantity of embroidery machines was also determined based on ISO 9614-3. Multiple linear regression was employed for predicting reverberation time based on acoustic features of the workrooms using MATLAB software. The results showed that the measured reverberation times in most of the workrooms were approximately within the ranges recommended by ISO 11690-1. Similarity between reverberation time values calculated by the Sabine formula and measured values was relatively poor (R (2) = 0.39). This can be due to the inaccurate estimation of the acoustic influence of furniture and formula preconditions. Therefore, this value cannot be considered representative of an actual acoustic room. However, the prediction performance of the regression method with root mean square error (RMSE) = 0.23 s and R (2) = 0.69 is relatively acceptable. Because the sound power of the embroidery machines was relatively high, these sources get the highest priority when it comes to applying noise controls. Finally, an objective approach for the determination of the share of workroom acoustic characteristics in producing noise could facilitate the identification of cost-effective noise controls.

Mesh:

Year:  2013        PMID: 24214295     DOI: 10.1007/s10661-013-3499-2

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  5 in total

1.  Occupational noise in printing companies.

Authors:  Aleksandra Mihailovic; Selena D Grujic; Jelena Kiurski; Jelena Krstic; Ivana Oros; Ilija Kovacevic
Journal:  Environ Monit Assess       Date:  2010-12-17       Impact factor: 2.513

2.  Assessing the acoustical climate of underground stations.

Authors:  Elzbieta Nowicka
Journal:  Int J Occup Saf Ergon       Date:  2007

3.  Location of noise sources in fluid power machines.

Authors:  Wiesław Fiebig
Journal:  Int J Occup Saf Ergon       Date:  2007

4.  Assessment of noise level in sundry processing and manufacturing industries in Ilorin metropolis, Nigeria.

Authors:  Olayinka S Oyedepo; Abdullahi A Saadu
Journal:  Environ Monit Assess       Date:  2009-03-10       Impact factor: 2.513

5.  Determination of noise induced hearing loss in mining: an application of hierarchical loglinear modelling.

Authors:  Mustafa Onder; Seyhan Onder; Atakan Mutlu
Journal:  Environ Monit Assess       Date:  2011-05-27       Impact factor: 2.513

  5 in total
  1 in total

1.  Application of Genetic Algorithm to Predict Optimal Sowing Region and Timing for Kentucky Bluegrass in China.

Authors:  Erxu Pi; Liqun Qu; Xi Tang; Tingting Peng; Bo Jiang; Jiangfeng Guo; Hongfei Lu; Liqun Du
Journal:  PLoS One       Date:  2015-07-08       Impact factor: 3.240

  1 in total

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