Browsing by Author "Ruiz Ordóñez, Magda"
Now showing items 1-20 of 45
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Analysis of the torsional mode T(0,1) propagating in a bending pipe
(2018)
Conference lecture
Open AccessIn operation, some structural members are subjects to bending conditions. Velocity variations of guided waves propagating in a stressed specimen are expected due to the acoustoelasticity effect. In this work, a numerical ... -
Application of the PCA to guided ultrasonic waves to evaluate tensile stress in a solid rod
(2015)
Conference report
Open Access -
Automatic classification of atypical lymphoid B cells using digital blood image processing
(2013-12)
Article
Restricted access - publisher's policyIntroduction: There are automated systems for digital peripheral blood (PB) cell analysis, but they operate most effectively in nonpathological blood samples. The objective of this work was to design a methodology to improve ... -
Automatic recognition of atypical lymphoid cells from peripheral blood by digital image analysis
(2015-02-01)
Article
Open AccessThe objective was the development of a method for the automatic recognition of different types of atypical lymphoid cells. -
Combination of multivariate statistical process control and classification tool for situation assessment applied to a sequencing batch reacto wastewater treatment
(2004)
Conference lecture
Open AccessA combination of Multivariate Statistical Process Control (MSPC) and an automatic classification algorithm has been developed to be applied in a Waste Water Treatment Plant. Two extensions of the Principal Component ... -
Combination of statistical process control (SPC) methods and classification strategies for situation assessment of batch processes
(2006-09-01)
Article
Open Access -
Comparative study of two hardware development boards for implementation of PCA-based algorithms in structural damage detection
(2015)
Conference report
Open Access -
Computational statistical monitoring of hydrocarbon transportation lines
(2015)
Conference report
Open Access -
Damage detection in composite materials structures under variable loads conditions by using fiber Bragg gratings and principal component analysis, involving new unfolding and scaling methods
(2014-06-03)
Article
Restricted access - publisher's policyAn innovative methodology based on the use of fiber Bragg gratings as strain sensors and strain field pattern recognition is proposed for damage detection in composite materials structures. The strain field pattern recognition ... -
Damage detection in structures using robust baseline models
(2015)
Conference report
Open Access -
Damage detection index based on statistical inference and PCA
(Destech, 2011)
Conference lecture
Open AccessThis paper is focused on the development of new estimators propounding if someone statistical law could estimate or infer a system without damage knowing its reliability. This new measurement considers each experiment, and ... -
Damages detection in cylindrical metallic specimens by means of statistical baseline models and updated daily temperature profiles
(Institute of Physics (IOP), 2017)
Article
Open AccessIn previous works, damage detection of metallic specimens exposed to temperature changes has been achieved by using a statistical baseline model based on Principal Component Analysis (PCA), piezodiagnostics principle and ... -
Detection of structural changes through principal component analysis and multivariate statistical inference
(2016-01-27)
Article
Open AccessThis article introduces a new methodology for the detection of structural changes using a statistical data-driven modeling approach by means of a distributed piezoelectric active sensor network at different actuation phases. ... -
Digital blood image processing and fuzzy clustering for detection and classification of atypical lymphoid B cells
(EUETIB, 2013-12)
Conference report
Open AccessAutomated systems for digital peripheral blood (PB) cell analysis operate most effectively in non-pathological samples. The paper deals with the automatic classification of atypical lymphoid cells using digital image ... -
Embedded piezodiagnostics for online structural damage detection based on PCA algorithm
(2016)
Conference report
Open AccessThis work discusses a methodology used to implement a data-driven strategy for Structural Health Monitoring. First, the instrumentation of the equipment is detailed by describing the main components to be installed in the ... -
Ensemble learning as approach for pipeline condition assessment
(Institute of Physics (IOP), 2017)
Article
Open AccessThe algorithms commonly used for damage condition monitoring present several drawbacks related to unbalanced data, optimal training requirements, low capability to manage feature diversity and low tolerance to errors. In ... -
Ensemble learning as approach for pipeline condition assessment
(Ghent University, 2017)
Conference report
Open AccessThe algorithms commonly used for damage condition monitoring present several drawbacks related to unbalanced data, optimal training requirements, low capability to manage feature diversity and low tolerance to errors. In ... -
Estimation of dispersion curves by combining effective elastic constants and SAFE method: a case study in a plate under stress
(Institute of Physics (IOP), 2017)
Article
Open AccessThis paper presents an approach to calculate dispersion curves for homogeneous and isotropic plates subject to stress, via Semi-Analytical Finite Element and the Effective Elastic Constants, since stresses in the waveguide ... -
Evaluation of piezodiagnostics approach for leaks detection in a pipe loop
(2016-09-30)
Article
Open AccessPipe leaks detection has a great economic, environmental and safety impact. Although several methods have been developed to solve the leak detection problem, some drawbacks such as continuous monitoring and robustness ... -
Features of cross-correlation analysis in a data-driven approach for structural damage assessment
(Multidisciplinary Digital Publishing Institute (MDPI), 2018-05-15)
Article
Open AccessThis work discusses the advantage of using cross-correlation analysis in a data-driven approach based on principal component analysis (PCA) and piezodiagnostics to obtain successful diagnosis of events in structural ...
