期刊
MEASUREMENT
卷 60, 期 -, 页码 231-239出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2014.09.080
关键词
Coal moisture; Soft sensing model; Mill; Data fusion
资金
- National Natural Science Major Fund [51036002]
This study presents a soft sensing model of coal moisture for utility boilers. The model is based on the energy and mass balance of matter in the inlet and outlet of a positive-pressure, direct-firing, MPS-type mill. Compared with the results obtained with a proximate analysis method, the results calculated with the soft sensing method are consistent with proximate analysis data. Meanwhile, the accuracy and reliability of the soft sensing method can be improved by data fusion of the calculated coal moisture from other running mills. (C) 2014 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据