activity
20172021
most citedMachine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities

20 citations · 22 across the 4 of their papers we have counts for

collaborators

4 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…

cs.LG2020★ 20 cited

Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities

Zhaoyi Xu, Joseph Homer Saleh

Machine learning (ML) pervades an increasing number of academic disciplines and industries. Its impact is profound, and several fields have been fundamentally altered by it, autono…

physics.space-ph2017

Electric propulsion reliability: statistical analysis of on-orbit anomalies and comparative analysis of electric versus chemical propulsion failure rates

Joseph Homer Saleh, Fan Geng, Michelle Ku +1

With a few hundred spacecraft launched to date with electric propulsion (EP), it is possible to conduct an epidemiological study of EP on orbit reliability. The first objective of…