Expert system to predict effects of noise pollution on operators of power plant using neuro-fuzzy approach.
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.
Ahmed
Hameed Kaleel
HK
Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi-110 025, India. ahmedhameed30@yahoo.com
Zulquernain
Mallick
M
D005103:Expert Systems; D017143:Fuzzy Logic; D006801:Humans; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D009623:Noise, Occupational / Q000009:adverse effects*; D011210:Power Plants