TY  - JOUR
T1  - Multiple Regression Analysis on Thermal Power Plant Components
Leading to Estimation of Heat Absorption
AU - Saraswathi, S. AU - Surendran, D. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 21
SP  - 4165
EP  - 4173
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4165.4173
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4165.4173
KW  - Multiple regression
KW  -heat Absorption
KW  -boiler elements
KW  -regression model
KW  -regression analysis
AB  - The objective of the proposed work is topredict the heat absorption pattern of boiler elements through multiple linear regression analysis. This regression analysis determines the correlation exist between the operational parameters such as coal flow and burner tilt with related to heat absorption. The different regression co efficient were derived and used for prediction. Through regression model, the heat absorption for all thermal components is predicted. The prediction was performed for three different grades of coal with varying loads. The predicted values are evaluated by comparing it with optimal values for determining its accuracy. The regression results that representing the predicted value, targeted value and error rate are visualized independently for all coal fired boiler components.
ER  -