most citedRemaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021

Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach

Zhaoyi Xu, Yanjie Guo, Joseph Homer Saleh

Remaining useful life (RUL) refers to the expected remaining lifespan of a component or system. Accurate RUL prediction is critical for prognostic and health management and for mai…

eess.SP2021★ 2 cited

Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery

Zhaoyi Xu, Yanjie Guo, Joseph Homer Saleh

Rotating machinery is essential to modern life, from power generation to transportation and a host of other industrial applications. Since such equipment generally operates under c…