Enhancing Remaining Useful Life Predictions in Predictive Maintenance of MOSFETs: The Efficacy of Integrated Particle Filter-Gaussian Process Regression Models

• Main Authors: Hadi E.F., bin Baharuddin M.Z., Zuhdi A.W.M., Ghadir G.K., Al-Tmimi H.M., Mustafa M.A.
• Other Authors: 59508922600
• Format: Article
• Published: International Information and Engineering Technology Association 2025

In the field of predictive maintenance, accurately predicting the remaining useful life (RUL) of equipment is critical to optimizing operations and avoiding unexpected failures. Traditional models such as Gaussian Process Regression (GPR), Particle Filter (PF), and Kalman Filter (KF) have been widel...