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Fausto Pedro García Márquez

Bio: Fausto Pedro García Márquez is an academic researcher from University of Castilla–La Mancha. The author has contributed to research in topics: Wind power & Condition monitoring. The author has an hindex of 35, co-authored 209 publications receiving 3874 citations.


Papers
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Journal ArticleDOI
TL;DR: A review of the state-of-the-art in the condition monitoring of wind turbines can be found in this article, which describes the different maintenance strategies, condition monitoring techniques and methods, and highlights in a table the various combinations of these that have been reported in the literature.

789 citations

Journal ArticleDOI
TL;DR: An exhaustive review of artificial neural networks used in wind energy systems is presented, identifying the methods most employed for different applications and demonstrating that Artificial Neural Networks can be an alternative to conventional methods in many cases.

305 citations

Journal ArticleDOI
TL;DR: In this paper, the main designs of wind turbines are classified based on their reliability by bringing together and comparing data from a selection of major studies in the literature, showing that problems with blades and gearboxes tend to lead to the greatest downtimes.
Abstract: Against the background of steadily increasing wind power generation worldwide, wind turbine manufacturers are continuing to develop a range of configurations with different combinations of pitch control, rotor speeds, gearboxes, generators and converters. This paper categorizes the main designs, focusing on their reliability by bringing together and comparing data from a selection of major studies in the literature. These are not particularly consistent but plotting failure rates against hours lost per failure reveals that problems with blades and gearboxes tend to lead to the greatest downtimes. New, larger wind turbines tend to fail more frequently than smaller ones so condition monitoring will become increasingly necessary if levels of reliability are to be improved.

251 citations

Journal ArticleDOI
TL;DR: The authors undertook the development of algorithms to detect gradual failure in railway turnout which should allow a move to an RCM2 approach to the management of switch and crossing maintenance.

129 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed the Binary Decision Diagram (BDD) method for reducing the computational cost of Fault Tree Analysis (FTA) in order to identify and monitor critical wind turbine components.

110 citations


Cited by
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Posted Content
TL;DR: In this paper, the authors provide a unified and comprehensive theory of structural time series models, including a detailed treatment of the Kalman filter for modeling economic and social time series, and address the special problems which the treatment of such series poses.
Abstract: In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.

4,252 citations

Reference EntryDOI
15 Oct 2004

2,118 citations

Journal ArticleDOI
Alan R. Jones1

1,349 citations

Journal ArticleDOI
TL;DR: A review of the state-of-the-art in the condition monitoring of wind turbines can be found in this article, which describes the different maintenance strategies, condition monitoring techniques and methods, and highlights in a table the various combinations of these that have been reported in the literature.

789 citations

Journal ArticleDOI
TL;DR: This review focuses on the advances of IRT as a non-contact and non-invasive condition monitoring tool for machineries, equipment and processes.

697 citations