基于贝叶斯改进结构算法的回转窑故障诊断模型研究
发布时间：2019-02-24 19:34
【摘要】：针对现有改进互信息爬山(MIHC)算法精度低、耗时长及简化爬山(SHC)算法产生大量冗余边的问题,提出一种新的结构学习算法,即改进爬山(IHC)算法。通过计算互信息链得到贝叶斯初始结构,利用条件独立性测试以及对孤立节点进行处理来加边补充贝叶斯初始结构得到完全结构,利用改进的爬山搜索算子对完全结构进行搜索直到得出最优结构。将该算法与爬山(HC)算法、MIHC算法、SHC算法进行比较,仿真结果表明,IHC算法能够得到较高准确率的模型,时间开销最小而且产生的冗余边数远远少于SHC算法产生的冗余边数。最后基于IHC算法,结合某回转窑数据进行训练,得到了回转窑工艺参数的故障诊断模型,对回转窑的烧成带温度实现了较为准确的故障诊断。
[Abstract]:Aiming at the problems of low precision, long time consuming and large number of redundant edges generated by the existing improved mutual information mountain climbing (MIHC) algorithm, a new structure learning algorithm, that is, the improved hill climbing (IHC) algorithm, is proposed to solve the problem of reducing the amount of redundant edges generated by the simplified hill climbing (SHC) algorithm. The Bayesian initial structure is obtained by computing the mutual information chain, and the complete structure is obtained by using conditional independence test and processing of isolated nodes to add edges to supplement the Bayesian initial structure. The improved mountain-climbing search operator is used to search the complete structure until the optimal structure is obtained. Compared with (HC) algorithm, MIHC algorithm and SHC algorithm, the simulation results show that the IHC algorithm can get a high accuracy model. The time cost is minimum and the number of redundant edges generated is far less than the number of redundant edges generated by the SHC algorithm. Finally, based on the IHC algorithm and the data of a rotary kiln, the fault diagnosis model of process parameters of rotary kiln is obtained, and the fault diagnosis of firing zone temperature of rotary kiln is realized accurately.
【作者单位】： 燕山大学信息科学与工程学院;燕山大学电气工程学院;
【基金】：国家自然科学基金资助项目(51641609) 河北省自然科学基金资助项目(F2016203354)
【分类号】：TP18;TQ054
本文编号：2429861
[Abstract]:Aiming at the problems of low precision, long time consuming and large number of redundant edges generated by the existing improved mutual information mountain climbing (MIHC) algorithm, a new structure learning algorithm, that is, the improved hill climbing (IHC) algorithm, is proposed to solve the problem of reducing the amount of redundant edges generated by the simplified hill climbing (SHC) algorithm. The Bayesian initial structure is obtained by computing the mutual information chain, and the complete structure is obtained by using conditional independence test and processing of isolated nodes to add edges to supplement the Bayesian initial structure. The improved mountain-climbing search operator is used to search the complete structure until the optimal structure is obtained. Compared with (HC) algorithm, MIHC algorithm and SHC algorithm, the simulation results show that the IHC algorithm can get a high accuracy model. The time cost is minimum and the number of redundant edges generated is far less than the number of redundant edges generated by the SHC algorithm. Finally, based on the IHC algorithm and the data of a rotary kiln, the fault diagnosis model of process parameters of rotary kiln is obtained, and the fault diagnosis of firing zone temperature of rotary kiln is realized accurately.
【作者单位】： 燕山大学信息科学与工程学院;燕山大学电气工程学院;
【基金】：国家自然科学基金资助项目(51641609) 河北省自然科学基金资助项目(F2016203354)
【分类号】：TP18;TQ054
【相似文献】
相关硕士学位论文 前1条
1 杨振;化学反应优化算法的理论研究与改进[D];南通大学;2014年
，本文编号：2429861
本文链接：https://www.wllwen.com/kejilunwen/huaxuehuagong/2429861.html
