Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur

Yuhua Li, Michael J Pont

    Research output: Contribution to journalArticle

    33 Citations (Scopus)

    Abstract

    This paper develops a technique for determining a reliable threshold for RBF classifiers. A two-phase approach is proposed to RBF classifier use in situations where unknown faults may occur: the first phase deals with the possibility of unknown faults; in the second phase, the classifier threshold is modified through retraining using all available data, including newly collected data about unknown faults. The approach is easy to use and is demonstrated to be particularly effective in classification problems where novelty detection capability is required.
    Original languageEnglish
    Pages (from-to)569-577
    JournalPattern Recognition Letter
    Volume23
    Issue number5
    DOIs
    Publication statusPublished - Mar 2002

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