Exploració per tema "principal component analysis"
Ara es mostren els items 1-20 de 20
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Analysing musical performance through functional data analysis: rhythmic structure in Schumann's Träumerei
(2009-01)
Article
Accés obertFunctional data analysis (FDA) is a relatively new branch of statistics devoted to describing and modelling data that are complete functions. Many relevant aspects of musical performance and perception can be understood ... -
Classification of patients undergoing weaning from mechanical ventilation using the coherence between heart rate variability and respiratory flow signal”
(Institute of Physics (IOP), 2015-05)
Article
Accés obertWeaning from mechanical ventilation is still one of the most challenging problems in intensive care. Unnecessary delays in discontinuation and weaning trials that are undertaken too early are both undesirable. This study ... -
Condition monitoring of wind turbine structures through univariate and multivariate hypothesis testing
(IntechOpen, 2018)
Capítol de llibre
Accés restringit per política de l'editorialThis chapter presents a fault detection method through uni- and multivariate hypothesis testing for wind turbine (WT) faults. A data-driven approach is used based on supervisory control and data acquisition (SCADA) data. ... -
Contributions to the multivariate Analysis of Marine Environmental Monitoring
(Universitat Politècnica de Catalunya, 2000-09-12)
Tesi
Accés obertThe thesis parts from the view that statistics starts with data, and starts by introducing the data sets studied: marine benthic species counts and chemical measurements made at a set of sites in the Norwegian Ekofisk oil ... -
Detection and classification of structural changes using artificial immune systems and fuzzy clustering
(2017-01-01)
Article
Accés restringit per política de l'editorialAmong all the elements that are integrated into a structural health monitoring (SHM) system, methods or strategies for damage detection and classification are nowadays playing a key role in enhancing the operational ... -
Detection of structural changes through principal component analysis and multivariate statistical inference
(2016-01-27)
Article
Accés obertThis 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. ... -
Development of value metrics for specific basketball contexts: a positional approach for the defensive rebound value
(Universitat Politècnica de Catalunya, 2022-06-28)
Treball Final de Grau
Accés obertOver the past decade, NBA teams are making an increasing investment in the development and growth of data analytics to help each team's ultimate goal of winning the championship. This growth has been accompanied by ... -
Distributed piezoelectric sensor system for damage identification in structures subjected to temperature changes
(2017-05-31)
Article
Accés obertStructural 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 ... -
Estimating trip generation rates in densely urbanised areas using PCA
(Universitat Politècnica de Catalunya, 2016-06-24)
Projecte Final de Màster Oficial
Accés obert -
Implementation of a piezo-diagnostics approach for damage detection based on PCA in a linux-based embedded platform
(Multidisciplinary Digital Publishing Institute (MDPI), 2018-11-01)
Article
Accés obertThe implementation of damage-detection methods for continuously assessing structural integrity entails systems with attractive features such as storage capabilities, memory capacity, computational complexity and time-consuming ... -
On real-time fault detection in wind turbines: Sensor selection algorithm and detection time reduction analysis
(2016-07-05)
Article
Accés obertIn this paper, we address the problem of real-time fault detection in wind turbines. Starting from a data-driven fault detection method, the contribution of this paper is twofold. First, a sensor selection algorithm is ... -
Principal component analysis of the effects of environmental enrichment and (-)-epigallocatechin-3-gallate on age-associated learning deficits in a mouse model of Down Syndrome
(2015-12-11)
Article
Accés obertDown syndrome (DS) individuals present increased risk for Alzheimer's disease (AD) neuropathology and AD-type dementia. Here, we investigated the use of green tea extracts containing (-)-epigallocatechin-3-gallate (EGCG), ... -
Sensor selection based on principal component analysis for fault detection in wind turbines
(2016)
Text en actes de congrés
Accés obertGrowing interest for improving the reliability of safety-critical structures, such as wind turbines, has led to the advancement of structural health monitoring (SHM). Existing techniques for fault detection can be broadly ... -
Structural damage detection using principal component analysis and damage indices
(2015-01-08)
Article
Accés obertOne of the most important tasks in structural health monitoring corresponds to damage detection. In this task, the existence of damage should be determined. In the literature, several potentially useful techniques for ... -
Wind turbine condition monitoring strategy through multiway PCA and multivariate inference
(2018-03-26)
Article
Accés obertThis article states a condition monitoring strategy for wind turbines using a statistical data-driven modeling approach by means of supervisory control and data acquisition (SCADA) data. Initially, a baseline data-based ... -
Wind turbine fault detection through principal component analysis and multivariate statistical inference
(2016)
Comunicació de congrés
Accés obertThis work addresses the problem of online fault detection of an advanced wind turbine benchmark under actuators (pitch and torque) and sensors (pitch angle measurement) faults of different type: fixed value, gain factor, ... -
Wind turbine fault detection through principal component analysis and statistical hypothesis testing
(2016-10-31)
Article
Accés obertThis work addresses the problem of online fault detection of an advanced wind turbine benchmark under actuators (pitch and torque) and sensors (pitch angle measurement) faults of different type. The fault detection scheme ... -
Wind turbine fault detection through principal component analysis and statistical hypothesis testing
(MDPI AG, 2016)
Article
Accés obertThis work addresses the problem of online fault detection of an advanced wind turbine benchmark under actuators (pitch and torque) and sensors (pitch angle measurement) faults of different type. The fault detection scheme ... -
Wind turbine fault detection through principal component analysis and statistical hypothesis testing
(2016)
Article
Accés obertThis paper addresses the problem of online fault detection of an advanced wind turbine benchmark under actuators (pitch and torque) and sensors (pitch angle measurement) faults of different type: fixed value, gain factor, ... -
Wind turbine multi-fault detection and classification based on SCADA data
(Multidisciplinary Digital Publishing Institute (MDPI), 2018)
Article
Accés obertDue to the increasing installation of wind turbines in remote locations, both onshore and offshore, advanced fault detection and classification strategies have become crucial to accomplish the required levels of reliability ...