20 citations · 24 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Machine Learning Promoting Extreme Simplification of Spectroscopy Equipment
Jianchao Lee, Qiannan Duan, Sifan Bi +8
The spectroscopy measurement is one of main pathways for exploring and understanding the nature. Today, it seems that racing artificial intelligence will remould its styles. The al…