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

Table 3

Comparison of different data repair methods for multivariate time-series imputation under a 20% simulated sensor failure conditions based on reconstruction accuracy (RMSE, SSIM) and statistical significance.

Table 3

doi: https://doi.org/10.1371/journal.pone.0347312.t003