Prognostics of PEM fuel cell in a particle filtering framework

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

M.S. Arulampalam, Simon Maskell, Neil Gordon et al. · IEEE Transactions on Signal Processing · 2002 · 11.5K citations

Computing, Physics, Bayesian Data Analysis +14

Rotating machinery prognostics: State of the art, challenges and opportunities

Aiwina Heng, Sheng Zhang, Andy Tan et al. · Mechanical Systems and Signal Processing · 2008 · 1.2K citations

Engineering, Mechanical Engineering, Forecasting +11

Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method

Wei He, Nicholas Williard, Michael Osterman et al. · Journal of Power Sources · 2011 · 1K citations

Computing, Computational Engineering, Bayesian Data Analysis +15

Applications of proton exchange membrane fuel cell systems

Jung‐Ho Wee · Renewable and Sustainable Energy Reviews · 2006 · 685 citations

Engineering, Chemical Engineering, Chemistry +10

An ensemble model for predicting the remaining useful performance of lithium-ion batteries

Yinjiao Xing, Eden W.M., Kwok‐Leung Tsui et al. · Microelectronics Reliability · 2013 · 655 citations

Engineering, Materials Engineering, Materials Science +16