Francesco Cadini

An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability

Francesco Cadini, Francisco Santos, Enrico Zio · Reliability Engineering & System Safety · 2014 · 266 citations

Computing, Computational Engineering, Industrial Engineering +12

Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks

Claudio Sbarufatti, Matteo Corbetta, Marco Giglio et al. · Journal of Power Sources · 2017 · 224 citations · Full text

Computing, Chemical Engineering, Computer Science +17

A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions

Francesco Cadini, Gian Luca Agliardi, Enrico Zio · Applied Energy · 2016 · 189 citations · Full text

Computing, Systems Engineering, Fault Tolerance +16

State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters

Francesco Cadini, Claudio Sbarufatti, Francesco Cancelliere et al. · Applied Energy · 2018 · 165 citations · Full text

Engineering, Data Science, Electrochemical Engineering +13

Monte Carlo-based filtering for fatigue crack growth estimation

Francesco Cadini, Enrico Zio, D. Avram · Probabilistic Engineering Mechanics · 2008 · 126 citations

Engineering, Materials Engineering, Materials Science +14