システム健全性管理のための時系列処理の課題とアプローチ

抄録

Recently, the demand for data analysis technologies to process large volumes of sensor time series data has grown due to the need for predictive maintenance and productivity improvement in smartmanufacturing. This paper addresses the challenges of processing sensor time series data and introduces the Spikelet approach, which uses value fluctuation range as a hyperparameter instead of time window size,as a potential solution tailored to the unique characteristics of sensor time series.