2 papers
eess.SP2022
Masked Self-Supervision for Remaining Useful Lifetime Prediction in Machine Tools
Haoren Guo, Haiyue Zhu, Jiahui Wang +3
Prediction of Remaining Useful Lifetime(RUL) in the modern manufacturing and automation workplace for machines and tools is essential in Industry 4.0. This is clearly evident as co…
eess.SY2017
Moving Horizon Estimation for ARMAX process with t-Distribution Noise
Dexiang Zhou, Keck Voon Ling, Weng Khuen Ho +1
In this paper, instead of the usual Gaussian noise assumption, -distribution noise is assumed. A Maximum Likelihood Estimator using the most recent N measurements is proposed fo…