Jing Zhang, D. Nikovski, Teng-Yok Lee, Tomoya Fujino
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Fault Detection and Classification of Time Series Using Localized Matrix Profiles
We introduce a new primitive, called the Localized Matrix Profile (LMP), for time series data mining. We devise fast algorithms for LMP computation, and propose a fault detector and a fault classifier based on the LMP. A case study using synthetic sensor data generated from a physical model of an electrical motor is provided to demonstrate the effectiveness and efficiency of our approach.