Preventive Maintenance and Fault Detection for Wind Turbine Generators Using a Statistical Model

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (115 download)

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Book Synopsis Preventive Maintenance and Fault Detection for Wind Turbine Generators Using a Statistical Model by : Ian Kuiler

Download or read book Preventive Maintenance and Fault Detection for Wind Turbine Generators Using a Statistical Model written by Ian Kuiler and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Vigilant fault diagnosis and preventive maintenance has the potential to significantly decrease costs associated with wind generators. As wind energy continues the upward growth in technology and continued worldwide adoption and implementation, the application of fault diagnosis techniques will become more imperative. Fault diagnosis and preventive maintenance techniques for wind turbine generators are still at an early stage compared to matured strategies used for generators in conventional power plants. The cost of wind energy can be further reduced if failures are predicted in advance of a major structural failure, which leads to less unplanned maintenance. High maintenance cost of wind turbines means that predictive strategies like fault diagnosis and preventive maintenance techniques are necessary to manage life cycle costs of critical components. Squirrel-Cage Induction Generators (SCIG) are the prevailing generator type and are more robust and cheaper to manufacturer compared to other generator types used in wind turbines. A statistical model was developed using SCADA data to estimate the relationships between winding temperatures and other variables. Predicting faults in stator windings are challenging because the unhealthy condition rapidly evolves into a functional failure.

Fault Detection and Diagnosis

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Publisher : BoD – Books on Demand
ISBN 13 : 1789844363
Total Pages : 130 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Fault Detection and Diagnosis by : Constantin Volosencu

Download or read book Fault Detection and Diagnosis written by Constantin Volosencu and published by BoD – Books on Demand. This book was released on 2018-11-07 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a selection of papers in the field of fault detection and diagnosis, promoting new research results in the field, which come to join other publications in the literature. Authors from countries of four continents: United States of America, South Africa, China, India, Algeria and Croatia published worked examples and case studies resulting from their research in the field. Fault detection and diagnosis has a great importance in all industrial processes, to assure the monitoring, maintenance and repair of the complex processes, including all hardware, firmware and software. The book has four sections, determined by the application domain and the methods used: 1. Hybrid Computing Systems, 2. Power Systems, 3. Power Electronics and 4. Kalman Filtering. In the first section, the readers will find a technical report on fault diagnosis of hybrid computing systems, based on the chaotic-map method that uses the exponential divergence and wide Fourier properties of the trajectories, combined with memory allocations and assignments. In the second section, two chapters are included: one of them presents a study on preventive maintenance and fault detection for wind turbine generators using statistical models and the second chapter presents a technical report on fault diagnosis for turbo-generators, based on the mechanical-electrical intersectional characteristics. The third section contains a technical report that presents some techniques of detection and localization of open-circuit faults in a three-phase voltage source inverter fed induction motor. The fourth section presents a theoretical study on the application of distributed discrete-time linear Kalman filtering with decentralized structure of sensors in fault residual generation.

Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems

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Publisher : BoD – Books on Demand
ISBN 13 : 1838800913
Total Pages : 212 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems by : Fouzi Harrou

Download or read book Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems written by Fouzi Harrou and published by BoD – Books on Demand. This book was released on 2020-04-01 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.

Fault Detection and Diagnosis

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Publisher :
ISBN 13 : 9781789844375
Total Pages : 128 pages
Book Rating : 4.8/5 (443 download)

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Book Synopsis Fault Detection and Diagnosis by : Constantin Volosencu

Download or read book Fault Detection and Diagnosis written by Constantin Volosencu and published by . This book was released on 2018 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a selection of papers in the field of fault detection and diagnosis, promoting new research results in the field, which come to join other publications in the literature. Authors from countries of four continents: United States of America, South Africa, China, India, Algeria and Croatia published worked examples and case studies resulting from their research in the field. Fault detection and diagnosis has a great importance in all industrial processes, to assure the monitoring, maintenance and repair of the complex processes, including all hardware, firmware and software. The book has four sections, determined by the application domain and the methods used: 1. Hybrid Computing Systems, 2. Power Systems, 3. Power Electronics and 4. Kalman Filtering. In the first section, the readers will find a technical report on fault diagnosis of hybrid computing systems, based on the chaotic-map method that uses the exponential divergence and wide Fourier properties of the trajectories, combined with memory allocations and assignments. In the second section, two chapters are included: one of them presents a study on preventive maintenance and fault detection for wind turbine generators using statistical models and the second chapter presents a technical report on fault diagnosis for turbo-generators, based on the mechanical-electrical intersectional characteristics. The third section contains a technical report that presents some techniques of detection and localization of open-circuit faults in a three-phase voltage source inverter fed induction motor. The fourth section presents a theoretical study on the application of distributed discrete-time linear Kalman filtering with decentralized structure of sensors in fault residual generation.

Maintenance Management of Wind Turbines

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Publisher : MDPI
ISBN 13 : 3039366297
Total Pages : 394 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Maintenance Management of Wind Turbines by : Fausto Pedro García Márquez

Download or read book Maintenance Management of Wind Turbines written by Fausto Pedro García Márquez and published by MDPI. This book was released on 2020-12-06 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Maintenance Management of Wind Turbines” considers the main concepts and the state-of-the-art, as well as advances and case studies on this topic. Maintenance is a critical variable in industry in order to reach competitiveness. It is the most important variable, together with operations, in the wind energy industry. Therefore, the correct management of corrective, predictive and preventive politics in any wind turbine is required. The content also considers original research works that focus on content that is complementary to other sub-disciplines, such as economics, finance, marketing, decision and risk analysis, engineering, etc., in the maintenance management of wind turbines. This book focuses on real case studies. These case studies concern topics such as failure detection and diagnosis, fault trees and subdisciplines (e.g., FMECA, FMEA, etc.) Most of them link these topics with financial, schedule, resources, downtimes, etc., in order to increase productivity, profitability, maintainability, reliability, safety, availability, and reduce costs and downtime, etc., in a wind turbine. Advances in mathematics, models, computational techniques, dynamic analysis, etc., are employed in analytics in maintenance management in this book. Finally, the book considers computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques that are expertly blended to support the analysis of multi-criteria decision-making problems with defined constraints and requirements.

Predictive Maintenance of Wind Generators Based on AI Techniques

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (126 download)

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Book Synopsis Predictive Maintenance of Wind Generators Based on AI Techniques by : Emin Elmar oglu Mammadov

Download or read book Predictive Maintenance of Wind Generators Based on AI Techniques written by Emin Elmar oglu Mammadov and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: As global warming is slowly becoming a dangerous reality, governments and private institutions are introducing policies to minimize it. Those policies have led to the development and deployment of Renewable Energy Sources (RESs), which introduces new challenges, among which the minimization of downtime and Levelised Cost of Energy (LCOE) by optimizing maintenance strategy where early detection of incipient faults is of significant intent. Hence, this is the focus of this thesis. While there are several maintenance approaches, predictive maintenance can utilize SCADA readings from large scale power plants to detect early signs of failures, which can be characterized by abnormal patterns in the measurements. There exists several approaches to detect these patterns such as model-based or hybrid techniques, but these require the detailed knowledge of the analyzed system. As SCADA system collects large amounts of data, machine learning techniques can be used to detect the underlying failure patterns and notify customers of the abnormal behaviour. In this work, a novel framework based on machine learning techniques for fault prediction of wind farm generators is developed for an actual customer. The proposed fault prognosis methodology addresses data limitation such as class imbalance and missing data, performs statistical tests on time series to test for its stationarity, selects the features with the most predictive power, and applies machine learning models to predict a fault with 1 hour horizon. The proposed techniques are tested and validated using historical data for a wind farm in Summerside, Prince Edward Island (PEI), Canada, and models are evaluated based on appropriate evaluation metrics. The results demonstrate the ability of the proposed methodology to predict wind generator failures, and the viability of the proposed methodology for optimizing preventive maintenance strategies.

Fault Detection in Structures (wind Turbine) Through Statistical Techniques, Singular Spectrum Analysis (SSA) and Frequency-based Methods

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Fault Detection in Structures (wind Turbine) Through Statistical Techniques, Singular Spectrum Analysis (SSA) and Frequency-based Methods by : Victor Verdezoto Pereira

Download or read book Fault Detection in Structures (wind Turbine) Through Statistical Techniques, Singular Spectrum Analysis (SSA) and Frequency-based Methods written by Victor Verdezoto Pereira and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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 based on frequency. Based on a dynamic model of wind turbine, the time series behavior was obtained in the first instance without presenting any system failure and a second instance of system failure. From these series we can intervene with SSA and with statistical methods (variance, means, covariance, Fisher criteria) to design the fault detection system. The baseline will be designed with 850 healthy samples and a total sampling time of 6.25 seconds. This baseline which will provide us with the components to be compared so that the system can detect various faults that occur (fault types: fixed value, gain factor, offset and dynamics changed) in an efficient way. The results show that a sensor fault system with a high percentage of effectiveness was designed. The greater or lesser effectiveness thereof will depend on the established base line and the components used.

Power Conversion and Control of Wind Energy Systems

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Publisher : John Wiley & Sons
ISBN 13 : 0470593652
Total Pages : 480 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Power Conversion and Control of Wind Energy Systems by : Bin Wu

Download or read book Power Conversion and Control of Wind Energy Systems written by Bin Wu and published by John Wiley & Sons. This book was released on 2011-08-09 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the latest power conversion and control technology in modern wind energy systems. It has nine chapters, covering technology overview and market survey, electric generators and modeling, power converters and modulation techniques, wind turbine characteristics and configurations, and control schemes for fixed- and variable-speed wind energy systems. The book also provides in-depth steady-state and dynamic analysis of squirrel cage induction generator, doubly fed induction generator, and synchronous generator based wind energy systems. To illustrate the key concepts and help the reader tackle real-world issues, the book contains more than 30 case studies and 100 solved problems in addition to simulations and experiments. The book serves as a comprehensive reference for academic researchers and practicing engineers. It can also be used as a textbook for graduate students and final year undergraduate students.

Fault Detection & Prediction in Wind Turbines

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Publisher :
ISBN 13 :
Total Pages : 149 pages
Book Rating : 4.:/5 (987 download)

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Book Synopsis Fault Detection & Prediction in Wind Turbines by : Herp Jürgen

Download or read book Fault Detection & Prediction in Wind Turbines written by Herp Jürgen and published by . This book was released on 2016 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Wind Energy

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540338667
Total Pages : 340 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Wind Energy by : Joachim Peinke

Download or read book Wind Energy written by Joachim Peinke and published by Springer Science & Business Media. This book was released on 2007-02-13 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is comprised of the proceedings of the Euromech Colloquium 464b "Wind Energy". It comprises reports on basic research, as well as research related to the practical exploitation and application of wind energy. The book describes the atmospheric turbulent wind condition on different time scales, and the interaction of wind turbines with both wind and water flows. These influence the design, operation and maintenance of offshore wind turbines.

Predictive Maintenance Framework Applied to Wind Turbines Sensor Data

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Predictive Maintenance Framework Applied to Wind Turbines Sensor Data by : Carlos Molina Mendiola

Download or read book Predictive Maintenance Framework Applied to Wind Turbines Sensor Data written by Carlos Molina Mendiola and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Maintenance costs have an important impact in wind energy profits. The main goal of this project is to implement a predictive maintenance framework as an added routine for controlling wind turbines status. Based on an statistical approach, this framework has a relevant impact in increase production and saving operational costs. Predictive maintenance methodology is based on an early warning system to detect failures (work orders emitted from the control system) before they occur. Two approaches are developed. Latent environmental and internal factors might be detected with power curve study, where individual power curve in a normal performance status is compared against individual empirical power curves in different states. On the other hand, specific part failures are more suitable to be found using normal models from sensors and then comparing with individual signals. Both ways end up with an on go failure detection system. Condition monitored data is extracted from turbines through SCADA, a system that provides sensor signals from different parts of the system. Failure data is processed from a the register of work order per machine.

Maintenance Management of Wind Turbines

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Publisher :
ISBN 13 : 9783039366309
Total Pages : 394 pages
Book Rating : 4.3/5 (663 download)

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Book Synopsis Maintenance Management of Wind Turbines by : Fausto Pedro García Márquez

Download or read book Maintenance Management of Wind Turbines written by Fausto Pedro García Márquez and published by . This book was released on 2020 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Maintenance Management of Wind Turbines” considers the main concepts and the state-of-the-art, as well as advances and case studies on this topic. Maintenance is a critical variable in industry in order to reach competitiveness. It is the most important variable, together with operations, in the wind energy industry. Therefore, the correct management of corrective, predictive and preventive politics in any wind turbine is required. The content also considers original research works that focus on content that is complementary to other sub-disciplines, such as economics, finance, marketing, decision and risk analysis, engineering, etc., in the maintenance management of wind turbines. This book focuses on real case studies. These case studies concern topics such as failure detection and diagnosis, fault trees and subdisciplines (e.g., FMECA, FMEA, etc.) Most of them link these topics with financial, schedule, resources, downtimes, etc., in order to increase productivity, profitability, maintainability, reliability, safety, availability, and reduce costs and downtime, etc., in a wind turbine. Advances in mathematics, models, computational techniques, dynamic analysis, etc., are employed in analytics in maintenance management in this book. Finally, the book considers computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques that are expertly blended to support the analysis of multi-criteria decision-making problems with defined constraints and requirements.

Fault Detection in Wind Turbines Using PCA and Statistical Hypothesis Testing

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Fault Detection in Wind Turbines Using PCA and Statistical Hypothesis Testing by : Josep Ma Serrahima de Cambra

Download or read book Fault Detection in Wind Turbines Using PCA and Statistical Hypothesis Testing written by Josep Ma Serrahima de Cambra and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: L'augment de la mida dels aerogeneradors per la generació d'electricitat i la seva construcció en llocs remots per maximitzar la producció suposa un augment en costos de manteniment i operació. Per tal de reduir aquests costos, eliminar manteniments programats i millorar la seguretat, apareix la necessitat de sistemes de control a distància. Structural health monitoring és el procés d'implantació d'una estratègia de detecció de fallades a l'estructura. Aplicat als aerogeneradors, fins i tot en condicions de vent canviants és necessària la detecció de dany. La primera part del projecte millora una metodologia prèviament aplicada als aerogeneradors (inferència estadística simple) reduint el temps de detecció; el segon mètode aplicat utilitza la inferència múltiple per detectar dany. Ambdós mètodes són provats per 24 mostres d'aerogeneradors en diferents condicions (sanes i danyades), i els resultats són encoratjadors: utilitzant la inferència simple el temps de detecció és reduït fins obtenir una detecció gairebé instantània; alhora, aquest projecte serveix com a prova pilot amb la inferència múltiple utilitzada per la detecció de dany en aerogeneradors, amb una correcta diagnosis d'estructures sanes i danyades.

Fault Detection and Isolation in Wind Turbines Using PCA and Statistical Hypothesis Testing

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Fault Detection and Isolation in Wind Turbines Using PCA and Statistical Hypothesis Testing by : Ricard Ollé Navarro

Download or read book Fault Detection and Isolation in Wind Turbines Using PCA and Statistical Hypothesis Testing written by Ricard Ollé Navarro and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Aquest projecte té l'objectiu de demostrar l'efectivitat de dues estratègies de detecció de dany en l'estructura d'un aerogenerador, basades en l'obtenció d'un patró de referencia a través de l'anàlisi de components principals (PCA) en l'estructura sana de l'aparell. Quan recollim les dades de l'estructura de la qual en volem comprovar la seva integritat, les projectem sobre el patró i mitjançant dos tipus de test d'hipòtesis diferents –inferència estadística univariable i multivariable-, en podem definir el seu diagnòstic. També té l'objectiu d'utilitzar les dues estratègies per intentar, no només saber si l'estructura està danyada o no, sinó que també detectar quin tipus de dany l'afecta. Per tal de verificar el correcte funcionament dels plans de detecció de dany, analitzarem dades provinents d'estructures afectades per diferents tipus de dany que han estat generades a partir d'un simulador (FAST software). D'aquesta manera, podrem distingir si som capaços de diferenciar les dades d'un aerogenerador sa, de les d'un danyat.

Cyclostationarity: Theory and Methods III

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Publisher : Springer
ISBN 13 : 3319514458
Total Pages : 261 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Cyclostationarity: Theory and Methods III by : Fakher Chaari

Download or read book Cyclostationarity: Theory and Methods III written by Fakher Chaari and published by Springer. This book was released on 2017-02-25 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers contributions presented at the 9th Workshop on Cyclostationary Systems and Their Applications, held in Gródek nad Dunajcem, Poland in February 2016. It includes both theory-oriented and practice-oriented chapters. The former focus on heavy-tailed time series and processes, PAR models, rational spectra for PARMA processes, covariance invariant analysis, change point problems, and subsampling for time series, as well as the fraction-of-time approach, GARMA models and weak dependence. In turn, the latter report on case studies of various mechanical systems, and on stochastic and statistical methods, especially in the context of damage detection. The book provides students, researchers and professionals with a timely guide to cyclostationary systems, nonstationary processes and relevant engineering applications.

Structural Control and Fault Detection of Wind Turbine Systems

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Publisher : Energy Engineering
ISBN 13 : 1785613944
Total Pages : 317 pages
Book Rating : 4.7/5 (856 download)

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Book Synopsis Structural Control and Fault Detection of Wind Turbine Systems by : Hamid Reza Karimi

Download or read book Structural Control and Fault Detection of Wind Turbine Systems written by Hamid Reza Karimi and published by Energy Engineering. This book was released on 2018-05 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid growth of wind energy worldwide, challenges in the operation and control of wind turbine systems are becoming increasingly important. This book conveys up to date theoretical and practical techniques applicable to the control of wind turbine systems.

MARE-WINT

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Publisher : Springer
ISBN 13 : 3319390953
Total Pages : 432 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis MARE-WINT by : Wiesław Ostachowicz

Download or read book MARE-WINT written by Wiesław Ostachowicz and published by Springer. This book was released on 2016-08-30 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a holistic, interdisciplinary overview of offshore wind energy, and is a must-read for advanced researchers. Topics, from the design and analysis of future turbines, to the decommissioning of wind farms, are covered. The scope of the work ranges from analytical, numerical and experimental advancements in structural and fluid mechanics, to novel developments in risk, safety & reliability engineering for offshore wind.The core objective of the current work is to make offshore wind energy more competitive, by improving the reliability, and operations and maintenance (O&M) strategies of wind turbines. The research was carried out under the auspices of the EU-funded project, MARE-WINT. The project provided a unique opportunity for a group of researchers to work closely together, undergo multidisciplinary doctoral training, and conduct research in the area of offshore wind energy generation. Contributions from expert, external authors are also included, and the complete work seeks to bridge the gap between research and a rapidly-evolving industry.