most citedRemaining Useful Life Prediction Using Temporal Deep Degradation Network for Complex Machinery with Attention-based Feature Extraction

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 6 cited

Remaining Useful Life Prediction Using Temporal Deep Degradation Network for Complex Machinery with Attention-based Feature Extraction

Yuwen Qin, Ningbo Cai, Chen Gao +3

The precise estimate of remaining useful life (RUL) is vital for the prognostic analysis and predictive maintenance that can significantly reduce failure rate and maintenance costs…