29 citations · 52 across the 4 of their papers we have counts for
4 papers
A Novel Criterion for Interpreting Acoustic Emission Damage Signals Based on Cluster Onset Distribution
Emmanuel Ramasso, Martin Mbarga Nkogo, Neha Chandarana +7
Structural health monitoring (SHM) relies on non-destructive techniques such as acoustic emission (AE) that generate large amounts of data over the lifespan of systems. Clustering…
Multisensor acoustic emission data set reflecting supervised untightening of bolts in a jointed vibrating structure
Emmanuel Ramasso, Benoit Verdin, Gael Chevallier
The data set presented in this work, called ORION-AE, is made of raw AE data streams collected by three different AE sensors and a laser vibrometer during five campaigns of measure…
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models
Emmanuel Ramasso, Thierry Denoeux, Gael Chevallier
The interpretation of unlabeled acoustic emission (AE) data classically relies on general-purpose clustering methods. While several external criteria have been used in the past to…
Autoregressive Hidden Markov Models with partial knowledge on latent space applied to aero-engines prognostics
Pablo Juesas, Emmanuel Ramasso, Sébastien Drujont +1
[This paper was initially published in PHME conference in 2016, selected for further publication in International Journal of Prognostics and Health Management.] This paper describe…