Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics
A key enabler of intelligent maintenance systems is the ability to predict the remaining useful lifetime (RUL) of its components, i.e., prognostics. The development of data-driven prognostics models requires datasets with run-to-failure trajectories. However, large representative run-to-failure data...
| Main Authors: | Manuel Arias Chao, Chetan Kulkarni, Kai Goebel, Olga Fink |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-01-01
|
| Series: | Data |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5729/6/1/5 |
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