Author
Alex Maurício Araújo
Bio: Alex Maurício Araújo is an academic researcher from Federal University of Pernambuco. The author has contributed to research in topics: Wind power & Turbine. The author has an hindex of 11, co-authored 34 publications receiving 665 citations.
Papers
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TL;DR: In this article, the authors provide a review on wind turbine bearing condition monitoring techniques such as acoustic measurement, electrical effects monitoring, power quality, temperature monitoring, wear debris analysis and vibration analysis.
Abstract: Since the early 1980s, wind power technology has experienced an immense growth with respect to both the turbine size and market share. As the demand for large-scale wind turbines and lor operation & maintenance cost continues to raise, the interest on condition monitoring system has increased rapidly. The main components of wind turbines are the focus of all CMS since they frequently cause high repair costs and equipment downtime. However, vast quantities of their failures are caused due to a bearing failure. Therefore, bearing condition monitoring becomes crucial. This paper aims at providing a state-of-the-art review on wind turbine bearing condition monitoring techniques such as acoustic measurement, electrical effects monitoring, power quality, temperature monitoring, wear debris analysis and vibration analysis. Furthermore, this paper will present a literature review and discuss several technical, financial and operational challenges from the purchase of the CMS to the wind farm monitoring stage.
248 citations
TL;DR: In this paper, a literature review of wind turbine control is presented dealing with the main wind energy control methods, which can be used as a starting point for new researches on WT control that can be decisive to energetic sustainability.
193 citations
TL;DR: A comprehensive review of the up-to-date efforts and advances in the research of prognostic techniques and remaining useful life estimation methods applied to the critical components of wind turbines and analyse its advantages, capabilities and limitations can be found in this article.
Abstract: Wind turbine installation is growing consistently and fast. Wind turbines are getting bigger in size and power, what incurs that a simple unit breakdown causes large energy losses. They operate under varying, complex and dynamic loads due to the environmental conditions, such as wind shear, turbulence, gusts, etc. Condition-based and prognostic and health maintenance is key to assure reliable and efficient performance of wind farms, especially offshore. Fault diagnosis is important, but given the operational complexity of the wind turbines, previous knowledge about the condition of a wind turbine component and fault prognostics are the state of the art of wind farm operation. Although some advance has been made in the diagnostics of faults of wind turbines, very little research has been carried out in the field of fault prognostics of wind turbines. Then, there is an urgent need to develop prognostic techniques for such complex systems operating in real conditions. This article aims to present a comprehensive, specific and concise review of the up to date efforts and advances in the research of prognostic techniques and remaining useful life estimation methods applied to the critical components of wind turbines and analyse its advantages, capabilities and limitations.
120 citations
TL;DR: In this paper, the authors make a critical review of the state-of-the-art approaches to understand and assess the complementarity between grid-connected solar and wind power systems through the analysis of different methodologies and locations.
91 citations
TL;DR: In this article, the authors present a review of the increasing contribution of wind power to the Brazilian electric matrix and an analysis of the main impact on technical, political and social aspects, taking into account the state-of-art of the wind power technology, the wind resource potential and the evolution of installed capacity in the country.
Abstract: This paper aims to present a review of the increasing contribution of wind power to the Brazilian electric matrix and an analysis of the main impact on technical, political and social aspects. This work takes into account the state-of-art of the wind power technology, the wind resource potential and the evolution of installed capacity in the country. The institutional programs and the fiscal incentives provided by the Brazilian government are also discussed in this paper, including its impacts on the society. We have reviewed national and international reports and relevant scientific papers to realize this work. The analysis shows that electric crisis in 2001 led the Brazilian government to develop new energy policies that supported the rapid growth of the wind industry from imported technology. Later on in the year 2004, the government mandated that the technology be developed within the country. It is expected that from 2011 (of approximately 1500 MW) until 2021 the installed wind capacity would increase by a factor of 600%. However, the national technology acquisition and development is still incipient. It is important to produce locally wind turbine components and is highly desirable to increase collaboration between industries and universities in the country.
71 citations
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TL;DR: This paper reviews the recent literature on machine learning models that have been used for condition monitoring in wind turbines and shows that most models use SCADA or simulated data, with almost two-thirds of methods using classification and the rest relying on regression.
482 citations
TL;DR: In this article, a hybrid support vector machine (SVM) model was proposed to forecast both solar and wind energy resources for most of the locations in the United States, where the authors highlighted main problems, opportunities and future work in this research area.
350 citations
TL;DR: A systemic and pertinent state-of-art review on WT planetary gearbox condition monitoring techniques on the topics of fundamental analysis, signal processing, feature extraction, and fault detection is provided.
312 citations
TL;DR: This paper aims at systematically and comprehensively summarizing current large-scale wind turbine bearing failure modes and condition monitoring and fault diagnosis achievements, followed by a brief summary of future research directions for wind turbine Bearing fault diagnosis.
249 citations
TL;DR: In this article, the authors provide a review on wind turbine bearing condition monitoring techniques such as acoustic measurement, electrical effects monitoring, power quality, temperature monitoring, wear debris analysis and vibration analysis.
Abstract: Since the early 1980s, wind power technology has experienced an immense growth with respect to both the turbine size and market share. As the demand for large-scale wind turbines and lor operation & maintenance cost continues to raise, the interest on condition monitoring system has increased rapidly. The main components of wind turbines are the focus of all CMS since they frequently cause high repair costs and equipment downtime. However, vast quantities of their failures are caused due to a bearing failure. Therefore, bearing condition monitoring becomes crucial. This paper aims at providing a state-of-the-art review on wind turbine bearing condition monitoring techniques such as acoustic measurement, electrical effects monitoring, power quality, temperature monitoring, wear debris analysis and vibration analysis. Furthermore, this paper will present a literature review and discuss several technical, financial and operational challenges from the purchase of the CMS to the wind farm monitoring stage.
248 citations