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The Use of a Global Index of Acoustic Assessment for Predicting Noise in Industrial Rooms and Optimizing the Location of Machinery and Workstations

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper describes the results of a study aimed at developing a tool for optimizing the location of machinery and workstations. A global index of acoustic assessment of machines was developed for this purpose. This index and a genetic algorithm were used in a computer tool for predicting noise emission of machines as well as optimizing the location of machines and workstations in industrial rooms. The results of laboratory and simulation tests demonstrate that the developed global index and the genetic algorithm support measures aimed at noise reduction at workstations.
Rocznik
Strony
627--638
Opis fizyczny
Bibliogr. 14 poz., rys., tab., wykr.
Twórcy
autor
  • Central Institute for Labour Protection – National Research Institute (CIOP-PIB), Poland
Bibliografia
  • 1. Parent-Thirion A, Fernández Macías E, Hurley J, Vermeylen G. Fourth European working conditions survey. Dublin, Ireland: European Foundation for the Improvement of Living and Working Conditions; 2007. Retrieved July 21, 2014, from: http://eurofound.europa.eu/pubdocs/2006/98/en/2/ef0698en.pdf.
  • 2. Eurofound. Fifth European Working Conditions Survey. Luxembourg: Publications Office of the European Union; 2012. Retrieved July 21, 2014, from: http:// www.eurofound.europa.eu/publications/htmlfiles/ef1182.htm.
  • 3. Antoniak M. Warunki pracy w Polsce na tle krajów UE - wyniki Europejskiego Badania Warunków Pracy [Working conditions In Poland against a background of other EU member states - European Working Conditions Survey results]. Bezpieczeństwo Pracy. 2011;(9):26–8. In Polish, with an abstract in English. Retrieved July 21, 2014, from: http://www.ciop.pl/50075.
  • 4. Directive 2003/10/EC of the European Parliament and of the Council of 6 February 2003 on the minimum health and safety requirements regarding the exposure of workers to the risks arising from physical agents (noise) (Seventeenth individual Directive within the meaning of Article 16(1) of Directive 89/391/EEC). OJ. 2003;L42:38–44. Retrieved July 21, 2014, from: http://eur-lex.europa.eu/legalcontent/EN/TXT/PDF/?uri=CELEX:32003L0010&from=EN.
  • 5. Pleban D. Method of acoustic assessment of machinery based on global acoustic quality index. Archives of Acoustics. 2010;35(2):223–35. Retrieved July 21, 2014, from: http://acoustics.ippt.pan.pl/index.php/aa/article/viewFile/247/237.
  • 6. Pleban D. A global index of acoustic assessment of machines - results of experimental and simulation tests. International Journal of Occupational Safety and Ergonomics (JOSE). 2011;17(3): 277–86. Retrieved July 21, 2014, from: http://www.ciop.pl/45007.
  • 7. Goldberg DE. Genetic algorithms in search, optimization and machine learning. Boston, MA, USA: Addison-Wesley Longman; 1989.
  • 8. Gwiazda TD. Algorytmy genetyczne. Kompendium [Genetic algorithms. Compendium.] Vol. 1, Operator krzyżowania dla problemów numerycznych [Crossover for single-objective numerical optimization problems]. Warszawa, Poland: PWN; 2007.
  • 9. Morzyński L. Badania modelu systemu aktywnej redukcji hałasu wykorzystującego materiał inteligentny jako przetwornik wykonawczy [Experimental study of active noise control system based on piezoceramide actuator]. In: Materiały XIII Konferencji Naukowej Wibroakustyki i Wibrotechniki WibroTech [Proceedings of 13th Conference of Vibroacoustics and Vibrotechnology WibroTech]. 2007. p. 217–22.
  • 10. Lan TS, Chiu MC. Identification of noise sources in factory’s sound field by using genetic algorithm. Applied Acoustics. 2008;69(8):733–50.
  • 11. Morzyński L. Genetic algorithms in exposure to noise limitation. Perosh Newsletter. 2011(5):4–5. Retrieved July 21, 2014, from: http://www.perosh.eu/newsletter-n5-june-2011/.
  • 12. Morzyński L. Wykorzystanie algorytmów genetycznych do ograniczania zawodowej ekspozycji na hałas [Using genetic algorithms to limit occupational exposure to noise]. Bezpieczeństwo Pracy. 2011;(10):9–12. In Polish, with an abstract in English. Retrieved July 21, 2014, from: http://www.ciop.pl/54008.
  • 13. Asawarungsaengkul K, Nanthavanij S. Design of optimal noise hazard control strategy with budget constraint. International Journal of Occupational Safety and Ergonomics (JOSE). 2006;12(4):355–67. Retrieved July 21, 2014, from: http://www.ciop.pl/19584.
  • 14. Asawarungsaengkul K, Nanthavanij S. Chalidabhongse J. Decision support system for designing effective noise hazard prevention strategies. International Journal of Occupational Safety and Ergonomics (JOSE). 2007;13(4):451–70. Retrieved July 21, 2014, from: http://www.ciop.pl/24377.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a811fe4a-5520-4737-af6c-1f5c41f53556
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