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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

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
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/1463-1741.56214

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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.


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