A Sintering State Recognition Framework to Integrate Prior Knowledge and Hidden Information considering Class Imbalance

IEEE Transactions on Industrial Electronics(2021)

引用 10|浏览30
暂无评分
摘要
Estimation of the sintering state has importance for clinker quality improvements and the safe operation of the rotary kiln. Class imbalanced thermal signals usually pose challenges in feature extraction and abnormal state recognition. In this article, a novel framework that integrates prior knowledge and hidden information is developed for sintering state recognition in the class imbalance condit...
更多
查看译文
关键词
Feature extraction,Kilns,Kernel,Data models,Data mining,Fires
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要