Abstract
In a pulverized coal fired boiler, various kinds of coals are used as a fuel. It is important to estimate properties of fired coal at the on-line, in order to realize good operated performance just like oil or gas fired boiler. Hardgrove grindability index is one of the important properties. Neural network method is proposed to estimate the index. Experimental results show that our estimation model is effective on the pulverizer, and is superior to multiple regression analysis. Study on the appropriate network structures is also described.
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