Guest editorial: Special section on data-driven approaches for complex industrial systems

Zhiwei Gao, Henrik Saxén, Chuanhou Gao

    Research output: Contribution to journalArticleScientificpeer-review

    35 Citations (Scopus)

    Abstract

    It is our pleasure to present this Special Issue on "Data-Driven Approaches for Complex Industrial Systems" of the IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, which provides a forum for researchers and practitioners to report recent results on data-driven methods with applications to complex industrial systems, and to identify critical issues and challenges for future investigations in this field. Roughly, data-driven methods can be categorized into three sets, i.e., data-driven modeling, data-driven monitoring and fault diagnosis, and data-driven control and optimization (cf. Fig. 1). In this Special Issue, 13 papers are selected with novel contributions in data-driven modeling, data-driven monitoring and diagnosis, data-driven control and their industrial applications, respectively.
    Original languageUndefined/Unknown
    Pages (from-to)2210–2212
    Number of pages3
    JournalIEEE Transactions on Industrial Informatics
    Volume9
    Issue number4
    DOIs
    Publication statusPublished - 2013
    MoE publication typeA1 Journal article-refereed

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