ABSTRACT This paper reviews multivariate statistical methods and their applications in process monitoring, fault detection and diagnosis for chemical process industries. It outlines the principles of the multivariate statistical methods, summarizes their basic schemes and major applications; evaluates their advantages and deficiencies; and reviews their most recent advances in process monitoring and fault diagnosis.
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