Home Email this page Print this page Bookmark this page Decrease font size Default font size Increase font size
Noise & Health  
 CURRENT ISSUE    PAST ISSUES    AHEAD OF PRINT    SEARCH   GET E-ALERTS    
 
 Next article
 Previous article
Table of Contents

Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
Citation Manager
Access Statistics
Reader Comments
Email Alert *
Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed3895    
    Printed244    
    Emailed0    
    PDF Downloaded18    
    Comments [Add]    

Recommend this journal

 

 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


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
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/1463-1741.56214

Rights and Permissions

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]*


        
Print this article     Email this article