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

机译:时间接收器工作特性(tROC)曲线:一种用于评估诊断系统性能的新工具

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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.
机译:快速可靠的故障检测对于飞机和机车等复杂工业系统的安全和经济运行至关重要。量化故障检测系统性能的度量标准对于选择和优化此类系统很重要。传统的两类分类器指标(例如准确性或ROC曲线)不适用于时间序列数据。本文介绍了tROC,这是一种量化故障检测系统性能的方法,它具有传统ROC曲线的许多理想特性,同时考虑了数据的时间序列性质。

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