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- W4200521028 abstract "Recently, more detailed fault diagnosis is being performed by analyzing the current status and changes of equipment through condition monitoring data obtained through various sensor data. In addition to fault diagnosis, attempts to predict the remaining useful life (RUL) in the event of a fault are being studied in various ways. RUL prediction is very important as a key indicator that can be used as a reference for equipment replacement time, cost reduction, and accident prevention. In this study, we propose a method for predicting the remaining life of equipment by extracting an abnormal pattern based on data collected from a ship" @default.
- W4200521028 created "2021-12-31" @default.
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- W4200521028 date "2021-12-31" @default.
- W4200521028 modified "2023-09-27" @default.
- W4200521028 title "A Study on DTW-based RUL Estimation Algorithm of Propulsion Motor: Case Study" @default.
- W4200521028 doi "https://doi.org/10.7315/cde.2021.386" @default.
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