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Online coal calorific value prediction from mutiband coal/air combustion radiation characteristics

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

A SVR modeling based online coal calorific value prediction method was introduced. Through wavelet transform and PCS process, coal flame radiation characteristics were extracted. Through SVR modeling, relationship model between radiation characteristic variables and coal calorific value was established. Proper SVR construction parameters were chosen through grid computing. Experiment results showed good coherence between SVR model prediction and laboratory results of coal calorific value. Proposed SVR based system relies on low cost multiband photoelectric sensors, which is easy to be installed at production spot, while satisfying system performance could meet practical needs of online operation adjusting to enhance production efficiency and diminish pollutant emissions.

源语言英语
主期刊名2012 the 8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - Proceedings
309-313
页数5
DOI
出版状态已出版 - 2012
活动8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - London, 英国
期限: 11 7月 201213 7月 2012

出版系列

姓名2012 the 8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - Proceedings

会议

会议8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012
国家/地区英国
London
时期11/07/1213/07/12

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