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Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems

Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems
Author: Hasmat Malik
Publisher: Springer Nature
Total Pages: 499
Release: 2020-01-17
Genre: Technology & Engineering
ISBN: 9811515328

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This book addresses a range of complex issues associated with condition monitoring (CM), fault diagnosis and detection (FDD) in smart buildings, wide area monitoring (WAM), wind energy conversion systems (WECSs), photovoltaic (PV) systems, structures, electrical systems, mechanical systems, smart grids, etc. The book’s goal is to develop and combine all advanced nonintrusive CMFD approaches on a common platform. To do so, it explores the main components of various systems used for CMFD purposes. The content is divided into three main parts, the first of which provides a brief introduction, before focusing on the state of the art and major research gaps in the area of CMFD. The second part covers the step-by-step implementation of novel soft computing applications in CMFD for electrical and mechanical systems. In the third and final part, the simulation codes for each chapter are included in an extensive appendix to support newcomers to the field.


Structural Control and Fault Detection of Wind Turbine Systems

Structural Control and Fault Detection of Wind Turbine Systems
Author: Hamid Reza Karimi
Publisher:
Total Pages: 302
Release: 2018
Genre: TECHNOLOGY & ENGINEERING
ISBN: 9781523121137

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With the rapid growth of wind energy worldwide, challenges in the operation and control of wind turbine systems are becoming increasingly important. These affect all parts of the system, and require an integrated approach to optimize safety, cost, integrity and survivability of the system, while retaining the desired performance quality. This book conveys up to date theoretical and practical techniques applicable to the control of wind turbine systems. Topics covered include wave loads on monopole-supported offshore wind turbines; numerical and experimental tools for small wind turbine load analysis; structural control concepts for load reduction of offshore wind turbines; towards farm-level health management of wind turbine systems; data-based approaches to the monitoring of wind turbines; fault diagnostics for electrically operated pitch systems in offshore wind turbines; an emulator prototype design for vibration control of magnetic bearings for wind turbine power generator shafts; condition monitoring and diagnostics of wind turbine power trains; and robust fuzzy fault tolerant control wind energy systems subject to actuator and sensor faults.


Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems

Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems
Author: Monia Ben Khader Bouzid
Publisher: John Wiley & Sons
Total Pages: 188
Release: 2023-09-01
Genre: Technology & Engineering
ISBN: 1394236433

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Wind energy conversion systems are subject to many different types of faults and therefore fault detection is highly important to ensure reliability and safety. Monitoring systems can help to detect faults before they result in downtime. This book presents efficient methods used to detect electrical and mechanical faults based on electrical signals occurring in the different components of a wind energy conversion system. For example, in a small and high power synchronous generator and multi-phase generator, in the diode bridge rectifier, the gearbox and the sensors. This book also presents a method for keeping the frequency and voltage of the power grid within an allowable range while ensuring the continuity of power supply in the event of a grid fault. Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems presents original results obtained from a variety of research. It will not only be useful as a guideline for the conception of more robust wind turbines systems, but also for engineers monitoring wind turbines and researchers


Automated Fault Detection for Wind Farm Condition Monitoring

Automated Fault Detection for Wind Farm Condition Monitoring
Author: Ammar S. Zaher
Publisher:
Total Pages: 0
Release: 2010
Genre:
ISBN:

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Wind turbines are becoming more established as an economically viable alternative to fossil-fuelled power generation. Recently wind farms consisting of hundreds of units are being built in various locations around the country adding a significant amount of electrical generating capacity. As the size of wind farms continues to increase, business economics dictate the need for effective condition monitoring systems that allow for careful asset management to minimise downtime and maximise availability and profits. Most modern turbines are built with integrated condition monitoring systems that acquire data and store this through Supervisory Control and Data Acquisition (SCADA) Systems. This data quickly becomes unmanageable and brings with it the problems of managing and interpreting it. This thesis considers the development of an automated SCADA data analysis system that aims to interpret the large volumes of data that are generated, with the intention of identifying faults in their early stages before they manifest into more serious catastrophic failures. A number of different analysis techniques for interpreting the SCADA are considered and a methodology of identifying faults in their incipient stages in the gearbox and generator using basic SCADA temperature data is described. Most CM techniques in the research literature focus on one aspect of a wind turbine with regards to identifying faults that may manifest within it. This research also puts forward the development of a multi-agent platform capable of combing multiple data sources and analysis techniques into one system to improve the opportunity of extracting and interpreting interesting information found in the SCADA and present it through a single point of contact for the operator. This provides the possibility of developing a more complete condition monitoring system that can monitor all of the main components of each turbine across a complete wind farm using both, existing and future condition monitoring techniques developed for the interpretation of wind farm data.


Vibration-Based Condition Monitoring of Wind Turbines

Vibration-Based Condition Monitoring of Wind Turbines
Author: Tomasz Barszcz
Publisher: Springer
Total Pages: 233
Release: 2018-12-04
Genre: Technology & Engineering
ISBN: 3030059715

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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.


Wind Turbine Control and Monitoring

Wind Turbine Control and Monitoring
Author: Ningsu Luo
Publisher: Springer
Total Pages: 462
Release: 2014-08-30
Genre: Technology & Engineering
ISBN: 3319084135

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Maximizing reader insights into the latest technical developments and trends involving wind turbine control and monitoring, fault diagnosis, and wind power systems, ‘Wind Turbine Control and Monitoring’ presents an accessible and straightforward introduction to wind turbines, but also includes an in-depth analysis incorporating illustrations, tables and examples on how to use wind turbine modeling and simulation software. Featuring analysis from leading experts and researchers in the field, the book provides new understanding, methodologies and algorithms of control and monitoring, computer tools for modeling and simulation, and advances the current state-of-the-art on wind turbine monitoring and fault diagnosis; power converter systems; and cooperative & fault-tolerant control systems for maximizing the wind power generation and reducing the maintenance cost. This book is primarily intended for researchers in the field of wind turbines, control, mechatronics and energy; postgraduates in the field of mechanical and electrical engineering; and graduate and senior undergraduate students in engineering wishing to expand their knowledge of wind energy systems. The book will also interest practicing engineers dealing with wind technology who will benefit from the comprehensive coverage of the theoretic control topics, the simplicity of the models and the use of commonly available control algorithms and monitoring techniques.


Maintenance Management of Wind Turbines

Maintenance Management of Wind Turbines
Author: Fausto Pedro García Márquez
Publisher: MDPI
Total Pages: 394
Release: 2020-12-06
Genre: Science
ISBN: 3039366297

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“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.


Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy

Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy
Author: Fausto Pedro Garcia Marquez
Publisher: Elsevier
Total Pages: 476
Release: 2023-06-24
Genre: Technology & Engineering
ISBN: 0323951007

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Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy looks at the complex and critical components of energy assets and the importance of inspection and maintenance to ensure their high availability and uninterrupted operation. Presenting the main concepts, state-of-the-art advances and case studies, this book approaches the topic by considering it as an integral part of the overall operation of any wind energy project. Linking the essential NDT subject with its sub disciplines, the book uses computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques to support analysis of prognostic problems with defined constraints and requirements. This book is the first of its kind and will provide useful insights to industrial engineers and scientists, academics and students in the possibilities that NDT and condition monitoring technologies can offer. Presents advances in Non-Destructive Techniques and Condition Monitoring Systems applied in the energy industry Provides case studies in Fault Detection and Diagnosis and Prognosis for critical variability Offers technical maintenance actions for the observation and analyses of inspection, monitoring, testing, diagnosis, prognosis and active maintenance actions in wind