doi: 10.7763/IJESD.2012.V3.178
Analysis of Noise Emitted from Electrical Machines Using TOPSIS Technique
Pijush Kanti Bhattacharjee1
,
Tirtharaj Sen2 ,
Debamalya Banerjee3 ,
Bijan Sarkar3
- 1the Department of Electronics and Telecommunication Engineering, Assam University [A Central University], Silchar, Assam, India
- 2the Department of Electrical Engineering, Asansol Engineering College, Kanyapur, Vivekananda Sarani, Asansol, Burdwan-713305, India
- 3the Department of Production Engineering which is a centre of Advanced Study in Jadavpur University, Kolkata, India
Abstract
This paper studies the noise emitted from different types of electrical machines having various rating. Noise related parameters like LAeq (Equivalent continuous A-weighted sound level), LAE (Sound exposure level), LAV (Average sound level) and TWA (Time weighted average level) are measured in a machine laboratory. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), an important MCDM (Multi Criteria Decision Making) tool, is used to identify the best alternative. After analyzing the noise exposure parameters from the electrical machines by TOPSIS technique, it is found that the DC Generator, Wound Rotor Induction Motor, and DC Shunt Motor are emitting maximum noise and are set as the worst machine for controlling the noise, causing environmental pollution in full order.
Keywords
- Noise dosimeter
- LAeq (equivalent continuous A-weighted sound level)
- LAE (Sound exposure level)
- LAV (Average sound level)
- TWA (time weighted average level)
- MCDM (multi criteria decision making)
- AHP (analytical hierarchy process)
- TOPSIS (technique fo
How to Cite
Pijush Kanti Bhattacharjee, Tirtharaj Sen, Debamalya Banerjee, and Bijan Sarkar, "Analysis of Noise Emitted from Electrical Machines Using TOPSIS Technique," International Journal of Environmental Science and Development, vol. 3, no. 1, pp. 5-9, 2012. https://doi.org/10.7763/IJESD.2012.V3.178
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).