Searched for: author:"Benedictus, R."
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document
Eleftheroglou, N. (author), Zarouchas, D. (author), Loutas, Theodoros (author), Alderliesten, R.C. (author), Benedictus, R. (author)
A novel framework to fuse structural health monitoring (SHM) data from different in-situ monitoring techniques is proposed aiming to develop a hyper-feature towards more effective prognostics. A state-of-the-art Non-Homogenous Hidden Semi Markov Model (NHHSMM) is utilized to model the damage accumulation of composite structures, subjected to...
journal article 2018
document
Eleftheroglou, N. (author), Zarouchas, D. (author), Loutas, T. (author), Alderliesten, R.C. (author), Benedictus, R. (author)
The present study utilizes a state-of-the-art stochastic modeling with structural health monitoring (SHM) data derived from strain measurements, in order to assess the remaining useful life (RUL) online in composite materials under fatigue loading. Non-Homogenous Hidden Semi Markov model (NHHSMM) is a suitable candidate with a rich mathematical...
journal article 2016