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A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure

Fig 2

Data preprocessing workflow including sensor fault simulation and dataset construction, including initial preprocessing, simulated sensor failure generation, ten-fold dataset partitioning, and the construction of corrupted–complete sequence pairs for model training.

Fig 2

doi: https://doi.org/10.1371/journal.pone.0347312.g002