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从复杂工业过程所可能具有的过程特性及数据存取过程中引入的数据特性分析出发,综述了具有复杂数据特性的工业过程的多元统计监视方法,并分别讨论了基于数据和基于知识方法进行故障诊断的优势、进展、适用范围及二者结合的可能.最后探讨了这一领域中值得进一步研究的问题和可能的发展方向.
Based on the process characteristics of complex industrial processes and the analysis of the data characteristics introduced during data access, the multivariate statistical monitoring methods for industrial processes with complex data characteristics are reviewed. The data-based and knowledge-based methods The advantages of diagnosis, the progress, the scope of application and the possibility of the combination of the two.Finally, it explores the problems worthy of further study in this field and the possible development directions.