Searched for: subject%3A%22Structural%255C%252Bhealth%255C%252Bmonitoring%22
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Galanopoulos, Georgios (author), Milanoski, Dimitrios (author), Eleftheroglou, N. (author), Broer, Agnes A.R. (author), Zarouchas, D. (author), Loutas, Theodoros (author)
An increasing interest for Structural Health Monitoring has emerged in the last decades. Acoustic emission (AE) is one of the most popular and widely studied methodologies employed for monitoring, due to its capabilities of detecting, locating and capturing the evolution of damage. Most literature so far, has employed AE for characterizing...
journal article 2023
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Galanopoulos, Georgios (author), Eleftheroglou, N. (author), Milanoski, Dimitrios (author), Broer, Agnes A.R. (author), Zarouchas, D. (author), Loutas, Theodoros (author)
We present a generic methodology for developing a Health Indicator out of strain-based Structural Health Monitoring data suitable for implementation in prognostic tasks. For this purpose, an in-house test campaign is launched. Single-stringered composite panels are subjected to compression-compression fatigue with the strains being monitored...
journal article 2023
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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