Exploració per tema "Fault detection"
Ara es mostren els items 1-20 de 80
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A bounded-error approach to simultaneous state and actuator fault estimation for a class of nonlinear systems
(2017-04-01)
Article
Accés obertThis paper proposes an approach for the joint state and fault estimation for a class of uncertain nonlinear systems with simultaneous unknown input and actuator faults. This is achieved by designing an unknown input observer ... -
A methodology for incipient fault detection
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés obertThis paper proposes a fault detection methodology for incipient faults that combines different residual generation methods (observers and l-step ahead predictors) with different convergence velocity to the real output ... -
A methodology for selective protection of matrix multiplications: A diagnostic coverage and performance trade-off for CNNs executed on GPUs
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertThe ability of CNNs to efficiently and accurately perform complex functions, such as object detection, has fostered their adoption in safety-related autonomous systems. These algorithms require high computational performance ... -
A Methodology for Selective Protection of Matrix Multiplications: A Diagnostic Coverage and Performance Trade-off for CNNs Executed on GPUs
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Comunicació de congrés
Accés obertThe ability of CNNs to efficiently and accurately perform complex functions, such as object detection, has fostered their adoption in safety-related autonomous systems. These algorithms require high computational performance ... -
A robust THD based communication-less protection method for electrical grids with DGs
(Elsevier, 2024-01-01)
Article
Accés obertIn this paper, a protection method with two cascaded algorithms is proposed to face fault events in Electrical Distribution Systems (EDSs). The first algorithm uses the Total Harmonic Distortion (THD), the estimates of the ... -
A statistical based approach for fault detection and diagnosis in a photovoltaic system
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés obertThis paper reports a development of a statistical approach for fault detection and diagnosis in a PV system. Specifically, the overarching goal of this work is to early detect and identify faults on the DC side of a PV ... -
A THD-based fault protection method using MSOGI-FLL grid voltage estimator
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-01-14)
Article
Accés obertThe rapid growth of the distributed generators (DGs) integration into the distribution systems (DSs) creates new technical issues; conventional relay settings need to be updated depending on the network topology and ... -
An enhanced machine learning based approach for failures detection and diagnosis of PV systems
(2017-09-14)
Article
Accés obertIn this paper, a novel procedure for fault detection and diagnosis in the direct current (DC) side of PV system, based on probabilistic neural network (PNN) classifier, is proposed. The suggested procedure consists of four ... -
An investigation on automatic systems for fault diagnosis in chemical processes
(Universitat Politècnica de Catalunya, 2012-02-03)
Tesi
Accés obertPlant safety is the most important concern of chemical industries. Process faults can cause economic loses as well as human and environmental damages. Most of the operational faults are normally considered in the process ... -
An on-line statistic algorithm to fault detection in controlled systems: a study case
(2019)
Text en actes de congrés
Accés restringit per política de l'editorialThe main objective of this paper is to propose an on-line statistic algorithm for fault detection in non-linear dynamic systems based on data analysis. This discipline is a branch of the statistical science and it allows ... -
Analysis of machine learning based condition monitoring schemes applied to complex electromechanical systems
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés restringit per política de l'editorialIn the modern industry framework, the application of condition monitoring schemes over electromechanical systems is being subjected to demanding requirements. Currently, the massive digitalization of industrial assets ... -
Anomaly detection for fault detection in wireless community networks using machine learning
(Elsevier, 2023-03-15)
Article
Accés obertMachine learning has received increasing attention in computer science in recent years and many types of methods have been proposed. In computer networks, little attention has been paid to the use of ML for fault detection, ... -
Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Text en actes de congrés
Accés restringit per política de l'editorialCondition monitoring in electromechanical systems represents, currently, one of the most critical challenges dealing with the advancement and modernization in intelligent manufacturing. In this regard, machine learning ... -
Chapter 4: intelligent fault diagnosis of photovoltaic systems
(2022-07-13)
Capítol de llibre
Accés restringit per política de l'editorialPhotovoltaic (PV) systems operating in real conditions of work are very often subject to several faults that may lower significantly the produced energy and shorten their availability. Therefore, powerful and trusted fault ... -
Characterization of the minimum detectable fault of interval observers by using set-invariance theory
(IEEE Press, 2016)
Text en actes de congrés
Accés obertThis paper addresses the characterization of the minimum detectable fault when using interval observers. The interval observers consider both input and uncertainty as unknown but bounded. The minimum detectable fault using ... -
Data fusion based on an iterative learning algorithm for fault detection in wind turbine pitch control systems
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-12-20)
Article
Accés obertIn this article, we propose a recent iterative learning algorithm for sensor data fusion to detect pitch actuator failures in wind turbines. The development of this proposed approach is based on iterative learning control ... -
Dataset for anomaly detection in a production wireless mesh community network
(Elsevier, 2023-08)
Article
Accés obertWireless community networks, WCN, have proliferated around the world. Cheap off-the-shelf WiFi devices have enabled this new network paradigm where users build their own network infrastructure in a do-it-yourself alternative ... -
Detection of abnormal operation of PV inverters based on regressive prediction models with recursive least squares training
(Institute of Electrical and Electronics Engineers (IEEE), 2024-01-01)
Article
Accés obertThe large scale integration of photovoltaic (PV) power plants has launched the massive deployment of PV inverters. In fact, just a single multi-MW PV plant may have thousands of them, which can be also found isolated in ... -
Detection of demagnetization faults in multi-phase ferrite-PM assisted synchronous reluctance materials
(Universitat Politècnica de Catalunya, 2020-06-23)
Treball Final de Grau
Accés obert
Realitzat a/amb: Amrita Vishwa VidyapeethamDemagnetization fault in five phases ferrite permanent magnet assisted synchronous reluctance machine is an important fault in this electric machine because this type may lead to a change in the basic characteristics of ... -
Dynamic threshold computation in fault detection for discrete-time linear systems
(2018)
Text en actes de congrés
Accés obertThis paper studies threshold computation in observer-based fault detection for discrete-time linear systems subject to unknown but bounded uncertainties. Based on two different assumptions on uncertainties, we propose two ...
