Searched for: author%3A%22Benedictus%2C+R.%22
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document
Eleftheroglou, N. (author), Zarouchas, D. (author), Benedictus, R. (author)
Data driven probabilistic methodologies have found increasing use the last decade and provide a platform for the remaining useful life (RUL) prediction of composite structures utilizing health-monitoring data. Of particular interest is the RUL prediction of composite structures that either underperform or outperform due to unexpected...
journal article 2020
document
Eleftheroglou, N. (author), Zarouchas, D. (author), Loutas, Theodoros (author), Mansouri, Sina Sharif (author), Georgoulas, George (author), Karvelis, Petros (author), Nikolakopoulos, George (author), Benedictus, R. (author)
This paper examines diagnostics and prognostics of Lithium-Polymer (Li-Po) batteries for unmanned aerial vehicles (UAVs). Several discharge voltage histories obtained during actual indoor flights constitute the training data for a data-driven approach, utilizing the Non-Homogenous Hidden Semi Markov model (NHHSMM). NHHSMM is a suitable candidate...
conference paper 2019
document
Eleftheroglou, N. (author), Zarouchas, D. (author), Benedictus, R. (author)
The procedure of fatigue damage accumulation in composite structures is still unknown and depends on several parameters such as type and frequency of loading, stacking sequence and material properties. Additionally, the nonhomogeneous and anisotropic nature of composites result to a stochastic activation of the different failure mechanisms and...
conference paper 2019
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.H. (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
Searched for: author%3A%22Benedictus%2C+R.%22
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