Noise Dose Emitted from Different Electrical Machines Compared
Tirtharaj Sen1, Pijush Kanti Bhattacharjee2, Debamalya Banerjee3, Bijan Sarkar4
1Tirtharaj Sen, Assistant Professor, Department of Electrical Engineering, Asansol Engineering College, Kanyapur, Vivekananda Sarani, Asansol, Burdwan, India.
2Pijush Kanti Bhattacharjee, Assistant Professor, Department of Electronics and Communication Engineering, Assam University [A Central University], Silchar, Assam, India.
3Debamalya Banerjee, Reader, Department of Production Engineering, Jadavpur University, Kolkata, India.
4Bijan Sarkar, Professor, Department of Production Engineering, Jadavpur University, Kolkata, India.
Manuscript received on August 22, 2011. | Revised Manuscript received on August 31, 2011. | Manuscript published on September 05, 2011. | PP: 219-226 | Volume-1 Issue-4, September 2011. | Retrieval Number: D0128081411/2011©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper deals with the study and comparison of noise dose emitted from different electrical machines. The study has been done in an electrical machine laboratory. Readings of noise parameters are taken from different machines using a noise dosimeter and the different noise related variables such as Leq (Equivalent continuous A-weighted sound level), LAV (Average sound level), LAE (Sound exposure level), TWA (Time weighted average) are compared for different ac and dc machines. Nomographic technique based on graphical analysis is used for finding out percentage noise dose and comparing that with the data collected from dosimeter. This study gives a complete measurement of noise levels and its parameters for different electrical machines ac and dc types, and hence it is a source to detect mechanical faults of the machines which are causing the noise produced. Also mechanical faults of the electrical machines are identified by analysis the frequency of noise emitting sound from the machines. These techniques are used for safeguarding the machines as well as environmental pollution.
Keywords: Electrical Machines, Frequency of Noise Emitting Sound, Noise Dose, Noise Dosimeter, Noise Related Parameters, Peak Exceedance Level.