Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
Afrânio Melo,
Maurício Melo Câmara,
José Carlos Pinto
Abstract:This paper presents a comprehensive review of the historical development, the current state of the art, and prospects of data-driven approaches for industrial process monitoring. The subject covers a vast and diverse range of works, which are compiled and critically evaluated based on the different perspectives they provide. Data-driven modeling techniques are surveyed and categorized into two main groups: multivariate statistics and machine learning. Representative models, namely principal component analysis,… Show more
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