Browsing by Author "Vitola Oyaga, Jaime"
Now showing items 1-9 of 9
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A damage classification approach for structural health monitoring using machine learning
(2018-12-02)
Article
Open AccessInspection strategies with guided wave-based approaches give to structural health monitoring (SHM) applications several advantages, among them, the possibility of the use of real data from the structure which enables ... -
A machine learning methodology for structural damage classification in structural health monitoring
(2017)
Conference report
Restricted access - publisher's policyOne of the goals of structural health monitoring (SHM) applications is to determine the presence and the severity of a damage. In some cases, this is an element to forecast the behaviour and take decisions to allocate ... -
A sensor data fusion system based on k-nearest neighbor pattern classification for structural health monitoring applications
(2017-02-21)
Article
Open AccessCivil and military structures are susceptible and vulnerable to damage due to the environmental and operational conditions. Therefore, the implementation of technology to provide robust solutions in damage identification ... -
Damage classification based on machine learning applications for an unmanned aerial vehicle
(2017)
Conference lecture
Restricted access - publisher's policyUnmanned aerial vehicles (UAVs) are well-known by its advantages in several applications such as surveillance and monitoring for instance in agricultural applications or fire control among others. These missions can be ... -
Data-driven methodologies for structural damage detection based on machine learning applications
(2016-12)
Part of book or chapter of book
Restricted access - publisher's policyStructural health monitoring (SHM) is an important research area, which interest is the damage identification process. Different information about the state of the structure can be obtained in the process, among them, ... -
Distributed piezoelectric sensor system for damage identification in structures subjected to temperature changes
(2017-05-31)
Article
Open AccessStructural health monitoring (SHM) is a very important area in a wide spectrum of fields and engineering applications. With an SHM system, it is possible to reduce the number of non-necessary inspection tasks, the associated ... -
Non-linear damage classification based on machine learning and damage indices
(2017)
Conference lecture
Restricted access - publisher's policyThe use of guided wave-based approaches presents some advantages in the structural inspection and damage identification processes. It is driven by the fact that these waves can propagate over relatively long distances and ... -
Structural damage detection and classification based on machine learning algorithms
(2016)
Conference lecture
Open AccessStructural Health Monitoring is a growing area of interest given the benefits obtained from its use. This area includes different tasks in the damage identification process, among them, the most important is the damage ... -
Structural damage monitoring based on machine learning and bio-inspired computing
(Universitat Politècnica de Catalunya, 2021-01-28)
Doctoral thesis
Open AccessFor a few decades, systems for supervising structures have become increasingly irnportant. In origin, the strategies had as a goal only the detection of damages. Furthermore, now monitoring the civil or military structures ...
