Exploració per tema "Failure analysis (Engineering)"
Ara es mostren els items 21-40 de 58
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Enhanced equal frequency partition method for the identification of a water demand system
(Sarjoughian,H.S.; Cellier, F.E.; Marefat, M.M.; Rozenblit, J.W. (eds.) Institute of Electrical and Electronics Engineers, 2000)
Text en actes de congrés
Accés obertThis paper deals with unsupervised partitioning. A first goal of this paper is to present an enhancement to the Equal Frequency Partition (EFP) method that allows to reduce, to some extent, the main drawback of this classical ... -
Estudio de un sistema de diagnóstico de fallos de una red de sensores
(Universitat Politècnica de Catalunya, 2017-07-04)
Projecte Final de Màster Oficial
Accés obertEste trabajo consiste en el estudio de un sistema de diagnóstico de fallos de una red de sensores interconectados en una red física de transporte de agua potable. Se trata de estudiar los datos brutos horarios de los ... -
Exploratory analysis of SCADA data from wind urbines using the K-Means clustering algorithm for predictive maintenance purposes
(2023-02-10)
Article
Accés obertProduct maintenance costs throughout the product’s lifetime can account for between 30–60% of total operating costs, making it necessary to implement maintenance strategies. This problem not only affects the economy but ... -
Extending the OCATA digital twin to the frequency domain
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertWe extend the OCATA time domain digital twin to the frequency domain. It is shown that deep learning-based models enable to predict the linear and nonlinear impairments affecting the optical constellations, whereas analytical ... -
Fault detection and identification in a fuel cell system
(IOS Press, 2009)
Text en actes de congrés
Accés restringit per política de l'editorialIn this work a fault diagnosis system for non-linear plants based on fuzzy logic, called VisualBlock-FIR, is presented and applied to an energy generation system based on fuel cells. VisualBlock-FIR runs under the Simulink ... -
Fault detection and isolation in critical infrastructure systems
(2014)
Text en actes de congrés
Accés obertCritical infrastructure systems (CIS) are complex large-scale systems which in turn require highly sophisticated supervisory control systems to ensure that high performance can be achieved and maintained under adverse ... -
Fault detection in structures (wind turbine) through statistical techniques, singular spectrum analysis (SSA) and frequency-based methods
(Universitat Politècnica de Catalunya, 2016-09-05)
Projecte Final de Màster Oficial
Accés obertThis master thesis aims to demonstrate the effectiveness of a fault detection strategy in the structure of the wind turbine through a new strategy involving singular spectrum analysis (SSA), statistical methods and methods ... -
Fault detection on bearings coupled to permanent magnet DC motors by using a generalized Takagi-Sugeno PI observer
(IEEE Press, 2016)
Text en actes de congrés
Accés obertThis paper presents a fault detection system for rotative machinery. A permanent-magnet DC motor is used as case of study. The main idea is to estimate on-line the non-load torque (To) in order to monitor the bearing health ... -
Fault diagnosis
(Springer, 2017)
Capítol de llibre
Accés restringit per política de l'editorialThis book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant ... -
Fault diagnosis and fault tolerant control with application on a wind turbine low speed shaft encoder
(International Federation of Automatic Control (IFAC), 2015)
Text en actes de congrés
Accés obertIn recent years, individual pitch control has been developed for wind turbines, with the purpose of reducing blade and tower loads. Such algorithms depend on reliable sensor information. The azimuth angle sensor, which ... -
Fault diagnosis of advanced wind turbine benchmark using interval-based ARRs and observers
(2014)
Text en actes de congrés
Accés restringit per política de l'editorialIn this paper, the problem of the fault diagnosis of an advanced wind turbine benchmark will be addressed using analytical redundant relations (ARRs) and observers that considers uncertainty in a bounded context, using the ... -
Fault diagnosis of an advanced wind turbine benchmark using interval-based ARRs and observers
(Institute of Electrical and Electronics Engineers (IEEE), 2015-06-01)
Article
Accés obertThis paper proposes a model-based fault diagnosis (FD) approach for wind turbines and its application to a realistic wind turbine FD benchmark. The proposed FD approach combines the use of analytical redundancy relations ... -
Fault tolerance evaluation of nonlinear systems using viability theory
(IEEE Press, 2016)
Text en actes de congrés
Accés obertThis paper presents a computational procedure based on viability theory to evaluate the fault tolerance admissibility of a given fault configuration of a nonlinear system controlled by means of a predictive control law. ... -
Fault-Tolerant Control of a Wind Turbine Generator Based on Fuzzy Logic and Using Ensemble Learning
(2021-08-20)
Article
Accés obertWind energy is a form of renewable energy with the highest installed capacity. However, it is necessary to reduce the operation and maintenance costs and extend the lifetime of wind turbines to make wind energy more ... -
Fault-tolerant model predictive control of water transport networks
(Springer, 2017)
Capítol de llibre
Accés restringit per política de l'editorialThis book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant ... -
FD-ZKF: A Zonotopic Kalman Filter optimizing fault detection rather than state estimation
(2019-01-01)
Article
Accés obertEnhancing the sensitivity to faults with respect to disturbances, rather than optimizing the precision of the state estimation using Kalman Filters (KF) is the subject of this paper. The stochastic paradigm (KF) is based ... -
Feasibility study of a methodology to evaluate statiscal evidence of failure data for Spanish nuclear power plant
(Universitat Politècnica de Catalunya, 2016-05)
Projecte Final de Màster UPC
Accés obertThe main goal of that project was to carry out a feasibility study of a methodology devoted to evaluate the statistical evidence of plant-specific failure data. Hence it will effect on the capital economical cost for both ... -
Feature Selection Algorithms for Wind Turbine Failure Prediction
(2019-01-31)
Article
Accés obertIt is well known that each year the wind sector has profit losses due to wind turbine failures and operation and maintenance costs. Therefore, operations related to these actions are crucial for wind farm operators and ... -
Flow meter data validation and reconstruction using neural networks: Application to the Barcelona water network
(2016)
Text en actes de congrés
Accés obertThe use of false or erroneous data can lead to wrong decisions when operating a system. In case of a water distribution network, the use of incorrect data could lead to errors in the billing system, waste of energy, incorrect ... -
Guaranteed state estimation and fault detection based on zonotopes for differential-algebraic-equation systems
(IEEE Press, 2016)
Text en actes de congrés
Accés obertThis paper presents a set-membership approach based on zonotopes for differential-algebraic-equation (DAE) systems with unknown-but-bounded disturbances and noise, which can be subsequently used for guaranteed state ...
