The modeling samples for difficulty to measure operation indexes and abnormal faults of complex indus-trial processes usually have the characteristics of sparse quantity,unbalanced distribution,and lack of connotation mechanism knowledge.Virtual sample generation(VSG)is a technology to expand the space and quantity of model-ing samples and has become one of the main ways to solve the formerly mentioned difficulties.However,there are still some problems in the existing research results,such as the lack of theoretical support,the unclear of category criterion and the application boundary.First,the existing problems for difficulty to measure operational indexes and abnormal fault modeling of complex industrial processes are described.The definition of virtual samples and the connotation of virtual samples are combed,and the VSG implementation process for the regression and classifica-tion problems is provided.Second,the research status is summarized from the sample coverage area,implementa-tion process,and application.Third,further research direction is analyzed and discussed.Finally,the summary and future challenges are given out.
关键词
复杂工业过程/虚拟样本生成/数据驱动建模/样本覆盖区域
Key words
Complex industrial process/virtual sample generation(VSG)/data-driven modeling/sample coverage area
维普
万方数据