化工学报2018，Vol.69Issue(2)：769-778,10.DOI:10.11949/j.issn.0438-1157.20170973
基于双层DAE-SOM的多指标工况识别方法
Performance recognition method based on multi-index and multi-layer DAE-SOM algorithm
摘要
Abstract
As disturbances and other factors often lead to shifting of work point in industrial process, it is particularly important to timely and accurately identify process changes. Current working condition identification methods mainly focus on whether or what fault occurs, but few consider process conditions from viewpoint of safety, economy, fault and other aspects. Decision criteria at different safety and economic conditions were proposed by combination of historical process data and related operational requirements. With these criteria, data characteristics was extracted by DAE method and extracted feature data was clustered by SOM method. Then, the process state was visually projected to two-dimensional maps. In this method, the DAE method can reduce influence of industrial process disturbance on data and the SOM method can better visually monitor process performance. Experimental study showed that the DAE-SOM multi-layer mapping method can determine security level, type of failure, and current economic efficiency of the system.关键词
降噪自编码/自组织映射神经网络/性能指标/可视化/双层映射/工况识别Key words
DAE/SOM/performance index/visualization/multi-layer mapping/condition recognition分类
信息技术与安全科学引用本文复制引用
李梦遥,杜文莉,钱锋..基于双层DAE-SOM的多指标工况识别方法[J].化工学报,2018,69(2):769-778,10.基金项目
国家自然科学基金重点项目(61333010) （61333010）
国家自然科学基金面上项目(21376077) （21376077）
国家自然科学基金优秀青年基金项目(61422303).supported by the National Natural Science Foundation of China(61333010,21376077,61422303). （61422303）
