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- W3213324497 endingPage "107587" @default.
- W3213324497 startingPage "107587" @default.
- W3213324497 abstract "Process dynamic behaviors resulting from closed-loop control and the inherence of processes are ubiquitous in industrial processes and bring a considerable challenge for process monitoring. Many methods have been developed for dynamic process monitoring, of which the dynamic latent variables (DLV) model is one of the most practical and promising branches. This paper provides a timely retrospective study of typical methods to fill the void in the systematic analysis of DLV methods for dynamic process monitoring. First, several classical DLV methods are briefly reviewed from three aspects, including original ideas, the determination of parameters, and offline statistics design. Second, a discussion on the relationships of the discussed methods has been established to make a clear understanding of process dynamics explained by each method. Third, five cases of a three-phase flow process are provided to illustrate the effectiveness of the methods from the application viewpoint. Finally, future research directions on dynamic process monitoring have also been provided. The primary objective of this paper is to summarize the prevalent DLV methods for dynamic process monitoring and thus highlight a valuable reference for further improvement on DLV models and the selection of algorithms in practical applications." @default.
- W3213324497 created "2021-11-22" @default.
- W3213324497 creator A5002154840 @default.
- W3213324497 creator A5027494303 @default.
- W3213324497 creator A5038929132 @default.
- W3213324497 date "2022-01-01" @default.
- W3213324497 modified "2023-10-10" @default.
- W3213324497 title "Retrospective comparison of several typical linear dynamic latent variable models for industrial process monitoring" @default.
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