| ARTICLE |
|
| Year : 2009 | Volume
: 11
| Issue : 45 | Page : 206--216 |
Expert system to predict effects of noise pollution on operators of power plant using neuro-fuzzy approach
Hameed Kaleel Ahmed, Mallick Zulquernain
Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi-110 025, India
Correspondence Address:
Hameed Kaleel Ahmed
Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi-110 025
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/1463-1741.56214
Ration power plants, to generate power, have become common worldwide. One such one is the steam power plant. In such plants, various moving parts of heavy machines generate a lot of noise. Operators are subjected to high levels of noise. High noise level exposure leads to psychological as well physiological problems; different kinds of ill effects. It results in deteriorated work efficiency, although the exact nature of work performance is still unknown. To predict work efficiency deterioration, neuro-fuzzy tools are being used in research. It has been established that a neuro-fuzzy computing system helps in identification and analysis of fuzzy models. The last decade has seen substantial growth in development of various neuro-fuzzy systems. Among them, adaptive neuro-fuzzy inference system provides a systematic and directed approach for model building and gives the best possible design parameters in minimum possible time. This study aims to develop a neuro-fuzzy model to predict the effects of noise pollution on human work efficiency as a function of noise level, exposure time, and age of the operators doing complex type of task.
[FULL TEXT] [PDF]*
|
Search Pubmed for
