Wind Turbine Gearbox Diagnostics Using Artificial Intelligence

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Wind Turbine Gearbox Diagnostics Using Artificial Intelligence

Author : Sofia Koukoura
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (141 download)

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Book Synopsis Wind Turbine Gearbox Diagnostics Using Artificial Intelligence by : Sofia Koukoura

Download or read book Wind Turbine Gearbox Diagnostics Using Artificial Intelligence written by Sofia Koukoura and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: To meet the latest strike price, the cost of energy from wind turbines needs to decrease.One of the biggest cost contributors to wind energy is the operation and maintenance cost. If this cost is driven down, the cost of energy of wind will substantially decrease and the reliability of the wind turbine assets need to increase. For that reason, condition monitoring systems are installed in modern wind turbines. These systems collect data and in abnormal conditions trigger alarms that are an indication of a fault. Maintenance actions can be scheduled accordingly that way, and faulty components can be replaced before catastrophic failures and large downtimes occur.Therefore, the aim of this thesis is to utilise vibration and performance data collected from wind turbine gearboxes, in order to perform fault detection and diagnosis.The data is collected at various times prior to gearbox component failures and advanced signal processing techniques are applied to reveal fault signatures. Machine learning models are trained based on features extracted from vibration spectra and operational data separately, but also a combination of these two types of data is investigated. The output is fault detection and isolation on gearbox component level. Both unit-specific and fleet-based methods are examines. The models are trained on specific turbines,but the generalization to other turbines is also examined.The above will provide a exible but robust framework for the early detection of emerging wind turbine faults. This will lead to minimisation of the wind turbine downtime and increase of the wind turbines reliability and income through operational enhancement.

SCADA Data Modeling for Wind Turbine Gearbox Failure Detection Using Machine Learning and Big Data Technologies

Author : Rafael Orozco (Computer scientist)
Publisher :
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis SCADA Data Modeling for Wind Turbine Gearbox Failure Detection Using Machine Learning and Big Data Technologies by : Rafael Orozco (Computer scientist)

Download or read book SCADA Data Modeling for Wind Turbine Gearbox Failure Detection Using Machine Learning and Big Data Technologies written by Rafael Orozco (Computer scientist) and published by . This book was released on 2020 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Diagnostic Models for Wind Turbine Gearbox Components Using SCADA Time Series Data: Preprint

Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Diagnostic Models for Wind Turbine Gearbox Components Using SCADA Time Series Data: Preprint by :

Download or read book Diagnostic Models for Wind Turbine Gearbox Components Using SCADA Time Series Data: Preprint written by and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents a scalable, autonomous framework for diagnostics of wind turbine gearbox failures using a multi-feature supervisory control and data acquisition data set spanning multiple years. Because of the size of the data set studied, all algorithms were constructed to be scalable using a Spark-Hadoop data framework. An unsupervised approach was used to detect significant failures based on predetermined criteria. The initial criteria selected were an abnormal spike in turbine component temperature followed by a turbine power off, which helps reduce the number of potential false alarms. To detect abnormal spikes in component temperature, a model was introduced to adjust the temperature data for effects caused by ambient temperature and normal temperature increases when loaded. This study evaluates methods for normalizing temperature sensor data to identify anomalies. The models that performed the best were a linear regression and a multivariate polynomial regression. The proposed process for finding failures has tunable parameters that can be adjusted to be more or less sensitive. The combination of sensor data normalization and application of these criteria is successful in finding turbine failures resulting in downtime. The proposed methods can operate without failure or maintenance logs and can be utilized for offline analysis of large high-resolution data sets.

Maintenance Management of Wind Turbines

Author : Fausto Pedro García Márquez
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.

Applications of Advanced Control and Artificial Intelligence in Smart Grids

Author : Qiuye Sun
Publisher : Frontiers Media SA
ISBN 13 : 2889761835
Total Pages : 195 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Applications of Advanced Control and Artificial Intelligence in Smart Grids by : Qiuye Sun

Download or read book Applications of Advanced Control and Artificial Intelligence in Smart Grids written by Qiuye Sun and published by Frontiers Media SA. This book was released on 2022-05-11 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applications of Artificial Intelligence Techniques in Engineering

Author : Hasmat Malik
Publisher : Springer
ISBN 13 : 9811318220
Total Pages : 630 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Applications of Artificial Intelligence Techniques in Engineering by : Hasmat Malik

Download or read book Applications of Artificial Intelligence Techniques in Engineering written by Hasmat Malik and published by Springer. This book was released on 2018-09-18 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques.

Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications

Author : Mina Farmanbar
Publisher : Springer Nature
ISBN 13 : 9819998360
Total Pages : 489 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications by : Mina Farmanbar

Download or read book Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications written by Mina Farmanbar and published by Springer Nature. This book was released on with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt:

International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing

Author : Fausto Pedro García Márquez
Publisher : Springer Nature
ISBN 13 : 3030929051
Total Pages : 582 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing by : Fausto Pedro García Márquez

Download or read book International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing written by Fausto Pedro García Márquez and published by Springer Nature. This book was released on 2022-05-04 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of different accepted papers of the conference. Firstly, the artificial intelligence and its application-related topics are provided. Secondly, cloud computing and related topics are also provided. The book has been designed to help research organisations and business leaders from across industries to transform their organisations into AI-driven disruptors. The utility of the technology in the face of massive globally interconnected complexity is explored. The significant characteristics of IEMAICLOUD are the promotion of inevitable dialogue between scientists, researchers, engineers, corporate’s and scholar’s students to mitigate the gap between academia, industry and governmental ethics which has been fostered through keynote speeches, workshops, panel discussion and oral presentations by eminent researchers in relevant field. The industry personnel depict cutting-edge researches in artificial intelligence and cloud computing to convey academia regarding real-time scenario and practical findings. Conference has been well equipped with talks by industry experts on the state of the art in computer science, lectures by eminent scientists designed to inspire and inform presentations by innovative researchers coming from 20+ countries from Europe and abroad. There has been discussion-oriented sessions and networking breaks to enable collaborations. Papers consist abstract, result, discussions and conclusions by the help of different tables and diagrams.

Vibration-Based Condition Monitoring of Wind Turbines

Author : Tomasz Barszcz
Publisher : Springer
ISBN 13 : 3030059715
Total Pages : 233 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Vibration-Based Condition Monitoring of Wind Turbines by : Tomasz Barszcz

Download or read book Vibration-Based Condition Monitoring of Wind Turbines written by Tomasz Barszcz and published by Springer. This book was released on 2018-12-04 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes in detail different types of vibration signals and the signal processing methods, including signal resampling and signal envelope, used for condition monitoring of drivetrains. A special emphasis is placed on wind turbines and on the fact that they work in highly varying operational conditions. The core of the book is devoted to cutting-edge methods used to validate and process vibration data in these conditions. Key case studies, where advanced signal processing methods are used to detect failures of gearboxes and bearings of wind turbines, are described and discussed in detail. Vibration sensors, SCADA (Supervisory Control and Data Acquisition), portable data analyzers and online condition monitoring systems, are also covered. This book offers a timely guide to both researchers and professionals working with wind turbines (but also other machines), and to graduate students willing to extend their knowledge in the field of vibration analysis.

Condition Monitoring with Vibration Signals

Author : Hosameldin Ahmed
Publisher : John Wiley & Sons
ISBN 13 : 1119544629
Total Pages : 456 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Condition Monitoring with Vibration Signals by : Hosameldin Ahmed

Download or read book Condition Monitoring with Vibration Signals written by Hosameldin Ahmed and published by John Wiley & Sons. This book was released on 2020-01-07 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to Vibration Analysis Techniques and Machine Condition Monitoring (MCM). It then offers readers sections covering: Rotating Machine Condition Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal processing in the time-frequency domain, methods for linear subspace learning, and the basic principles of the learning method Artificial Neural Network (ANN). They will also discover recent trends of deep learning in the field of machine condition monitoring, new feature learning frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the fundamental as well as the state-of-the-art approaches to machine condition monitoringguiding readers from the basics of rotating machines to the generation of knowledge using vibration signals Provides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes previously and recently developed dimensionality reduction techniques and classification algorithms Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.

Dynamics and Vibration Analyses of Gearbox in Wind Turbine

Author : Qingkai Han
Publisher : Springer
ISBN 13 : 9811027471
Total Pages : 168 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Dynamics and Vibration Analyses of Gearbox in Wind Turbine by : Qingkai Han

Download or read book Dynamics and Vibration Analyses of Gearbox in Wind Turbine written by Qingkai Han and published by Springer. This book was released on 2016-09-27 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the dynamics and vibration properties of gearboxes, with a focus on geared rotor systems. It discusses mechanical theories, finite-element based simulations, experimental measurements and vibration signal processing techniques. It introduces the vibration-resonance calculation method for the geared rotor system in wind turbines and load sharing of the planetary gear train, and offers a method for calculating the vibrations of geared rotor systems under either internal excitations from gear sets or external loads transferred from wind loads. It also defines and elaborates on parameter optimization for planetary gear systems based on the torsional dynamics of wind-turbine geared rotor systems. Moreover, it describes experimental measurements of vibrations on the wind-turbine gearbox performed on the test rig and on site, and analyzes the vibration signals of different testing points, showing them in both time and frequency domains. Lastly, it lists the gear coupling frequencies and fault characteristic frequencies from the vibrations of the gearbox housing. The technologies and results presented are valuable resources for use in dynamic design, vibration prediction and analysis of gearboxes and geared rotor systems in wind turbines as well as many other machines.

Computational Sciences and Artificial Intelligence in Industry

Author : Tero Tuovinen
Publisher : Springer Nature
ISBN 13 : 3030707873
Total Pages : 278 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Computational Sciences and Artificial Intelligence in Industry by : Tero Tuovinen

Download or read book Computational Sciences and Artificial Intelligence in Industry written by Tero Tuovinen and published by Springer Nature. This book was released on 2021-08-19 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.

Applications of Machine Learning in Diagnostics and Prognostics of Wind Turbine High Speed Generator Failure

Author : Alan Turnbull
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Applications of Machine Learning in Diagnostics and Prognostics of Wind Turbine High Speed Generator Failure by : Alan Turnbull

Download or read book Applications of Machine Learning in Diagnostics and Prognostics of Wind Turbine High Speed Generator Failure written by Alan Turnbull and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

Author : Mukhdeep Singh Manshahia
Publisher : Springer Nature
ISBN 13 : 3031264967
Total Pages : 302 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy by : Mukhdeep Singh Manshahia

Download or read book Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy written by Mukhdeep Singh Manshahia and published by Springer Nature. This book was released on 2023-06-14 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems

Author : Rui Yang
Publisher : CRC Press
ISBN 13 : 1000594920
Total Pages : 93 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems by : Rui Yang

Download or read book Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems written by Rui Yang and published by CRC Press. This book was released on 2022-06-16 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems. Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.

Intelligent Fault Diagnosis of Gearboxes and Its Applications on Wind Turbines

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

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Book Synopsis Intelligent Fault Diagnosis of Gearboxes and Its Applications on Wind Turbines by : Sajid Hussain

Download or read book Intelligent Fault Diagnosis of Gearboxes and Its Applications on Wind Turbines written by Sajid Hussain and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Robust Monitoring, Diagnostic Methods and Tools for Engineered Systems

Author : Eleni N. Chatzi
Publisher : Frontiers Media SA
ISBN 13 : 2889660885
Total Pages : 208 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Robust Monitoring, Diagnostic Methods and Tools for Engineered Systems by : Eleni N. Chatzi

Download or read book Robust Monitoring, Diagnostic Methods and Tools for Engineered Systems written by Eleni N. Chatzi and published by Frontiers Media SA. This book was released on 2020-10-23 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.