• DocumentCode
    2492958
  • Title

    Time receiver operating characteristic (tROC) curves: A new tool for evaluating the performance of diagnostic systems

  • Author

    Xue, Ya ; Eklund, Neil H W ; Hu, Xiao ; Yan, Weizhong

  • Author_Institution
    Ind. Artificial Intell. Lab., Gen. Electr. Global Res. Center, Niskayuna, NY, USA
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Rapid and reliable fault detection is critical for the safe and economic operation of complex industrial systems like aircraft and locomotives. A metric for quantifying the performance of fault detection systems is important for selecting and optimizing such systems. Traditional two-class classifier metrics such as accuracy or ROC curves are inappropriate for time series data. This paper introduces the tROC, a method of quantifying performance of fault detection systems that has many of the desirable properties of traditional ROC curves, while accounting for the time series nature of the data.
  • Keywords
    fault diagnosis; reliability; ROC curves; complex industrial systems; diagnostic systems; reliable fault detection; time receiver operating characteristic; Accuracy; Aircraft propulsion; Classification tree analysis; Engines; Fault detection; Maintenance engineering; Measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2010 International Joint Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-6916-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2010.5596675
  • Filename
    5596675