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
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;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596675