During the last decades, various techniques have been developed to deal with diagnosis issues on Discrete Event Systems (DES). These techniques, even if they have reached a good maturity degree, need the elaboration of intermediate ad-hoc models from the original model, in order to proceed to diagnosability investigation. Instead of developing ad-h...
This PhD thesis deals with fault diagnosis of DES in both untimed and timed contexts using Petri net models. Some on-the-fly and incremental techniques are developed to reduce the state explosion problem while analyzing diagnosability. In the untimed context, an algebraic representation for labeled Petri net (LPN) is developed to feature the system...
ESCO 2014 - The Fourth European Seminar on Computing, , , -
Published in MATEC Web of Conferences
In this paper are reported the results of an experimental campaign carried out on a post tensioned concrete beam with the aim of investigating the possibility to detect early warning signs of deterioration basing on static and/or dynamic tests. The beam was tested in several configurations aimed to reproduce several different phases of the ‘life’ o...
This paper presents a machine learning approach for detecting structural stiffness changes of civil engineering structures considered as dynamical systems, using only an experimental database constituted of a small number of records related to the experimental first eigenfrequency of the structure and a set of measured temperatures. Since the numbe...
Several examples of structures have been severely damaged, or even reached the total collapse, after the propagation of some local failure, resulting from an accidental or exceptional event. These catastrophic events highlight the importance of not limiting safety assessment in structural design under identified conditions, but also to investigate ...
Eurostruct 2021, Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures, Padoue, ITALIE, 29-/08/2021 - 01/09/2021
