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
Link To Document