Fault Detection & Prediction in Wind Turbines

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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:

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.

Algorithms for Fault Detection and Diagnosis

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Publisher : MDPI
ISBN 13 : 3036504621
Total Pages : 130 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Algorithms for Fault Detection and Diagnosis by : Francesco Ferracuti

Download or read book Algorithms for Fault Detection and Diagnosis written by Francesco Ferracuti and published by MDPI. This book was released on 2021-03-19 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the increasing demand for security and reliability in manufacturing and mechatronic systems, early detection and diagnosis of faults are key points to reduce economic losses caused by unscheduled maintenance and downtimes, to increase safety, to prevent the endangerment of human beings involved in the process operations and to improve reliability and availability of autonomous systems. The development of algorithms for health monitoring and fault and anomaly detection, capable of the early detection, isolation, or even prediction of technical component malfunctioning, is becoming more and more crucial in this context. This Special Issue is devoted to new research efforts and results concerning recent advances and challenges in the application of “Algorithms for Fault Detection and Diagnosis”, articulated over a wide range of sectors. The aim is to provide a collection of some of the current state-of-the-art algorithms within this context, together with new advanced theoretical solutions.

Fault Diagnosis and Sustainable Control of Wind Turbines

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Publisher : Butterworth-Heinemann
ISBN 13 : 0128129859
Total Pages : 230 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Fault Diagnosis and Sustainable Control of Wind Turbines by : Silvio Simani

Download or read book Fault Diagnosis and Sustainable Control of Wind Turbines written by Silvio Simani and published by Butterworth-Heinemann. This book was released on 2018-01-02 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies discusses the development of reliable and robust fault diagnosis and fault-tolerant (‘sustainable’) control schemes by means of data-driven and model-based approaches. These strategies are able to cope with unknown nonlinear systems and noisy measurements. The book also discusses simpler solutions relying on data-driven and model-based methodologies, which are key when on-line implementations are considered for the proposed schemes. The book targets both professional engineers working in industry and researchers in academic and scientific institutions. In order to improve the safety, reliability and efficiency of wind turbine systems, thus avoiding expensive unplanned maintenance, the accommodation of faults in their early occurrence is fundamental. To highlight the potential of the proposed methods in real applications, hardware–in–the–loop test facilities (representing realistic wind turbine systems) are considered to analyze the digital implementation of the designed solutions. The achieved results show that the developed schemes are able to maintain the desired performances, thus validating their reliability and viability in real-time implementations. Different groups of readers—ranging from industrial engineers wishing to gain insight into the applications' potential of new fault diagnosis and sustainable control methods, to the academic control community looking for new problems to tackle—will find much to learn from this work. Provides wind turbine models with varying complexity, as well as the solutions proposed and developed by the authors Addresses in detail the design, development and realistic implementation of fault diagnosis and fault tolerant control strategies for wind turbine systems Addresses the development of sustainable control solutions that, in general, do not require the introduction of further or redundant measurements Proposes active fault tolerant ('sustainable') solutions that are able to maintain the wind turbine working conditions with gracefully degraded performance before required maintenance can occur Presents full coverage of the diagnosis and fault tolerant control problem, starting from the modeling and identification and finishing with diagnosis and fault tolerant control approaches Provides MATLAB and Simulink codes for the solutions proposed

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.

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

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Publisher :
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.

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.

Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems

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Publisher : John Wiley & Sons
ISBN 13 : 1394236433
Total Pages : 188 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems by : Monia Ben Khader Bouzid

Download or read book Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems written by Monia Ben Khader Bouzid and published by John Wiley & Sons. This book was released on 2023-09-01 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Wind Turbines

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Publisher : MDPI
ISBN 13 : 3038973602
Total Pages : 329 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis Wind Turbines by : Frede Blaabjerg

Download or read book Wind Turbines written by Frede Blaabjerg and published by MDPI. This book was released on 2019-01-11 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Wind Turbines" that was published in Energies

Fault Detection and Isolation of Wind Turbines - A Real Field Data Approach

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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 of Wind Turbines - A Real Field Data Approach by : Pep Lluís Negre Carrasco

Download or read book Fault Detection and Isolation of Wind Turbines - A Real Field Data Approach written by Pep Lluís Negre Carrasco and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The future of wind energy passes through the installation of o shore wind farms. In such locations a non-planned maintenance is highly costly, therefore, a fault-tolerant control system that is able to maintain the wind turbine connected after the occurrence of certain faults can avoid major economic losses. The purpose of this Master's thesis is to design a Fault Detection and Isolation (FDI) system, which is responsible of detecting the wind turbine faults and identify their origin. In this sense, a robust fault detection based on system identi fication and adaptive threshold generation is proposed. Real fi eld data is used to identify the nominal model that produces the estimated output for residual generation. To avoid long term deviations, this estimated output is computed from the nominal model and an observer that follows the so-called Luenberger scheme. Moreover, an adaptive threshold based on model error modelling that take into account the nominal model uncertainty i.e. makes the FDI system robust is presented. Since the wind turbine is a highly non-linear system with a complex operating range, all these techniques are extrapolated to the entire wind turbine range using Linear Parameter Varying (LPV) models. Finally, an analysis based on residual sensitivity is developed with the aim of making the FDI system able to isolate the faults.

Wind Turbine Technology

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Publisher : CRC Press
ISBN 13 : 1482244950
Total Pages : 358 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Wind Turbine Technology by : Muyiwa Adaramola

Download or read book Wind Turbine Technology written by Muyiwa Adaramola and published by CRC Press. This book was released on 2014-02-24 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title includes a number of Open Access chapters. This important book presents a selection of new research on wind turbine technology, including aerodynamics, generators and gear systems, towers and foundations, control systems, and environmental issues. This informative book: • Introduces the principles of wind turbine design • Presents methods for analysis of wind turbine performance • Discusses approaches for wind turbine improvement and optimization • Covers fault detection in wind turbines • Describes mediating the adverse effects of wind turbine use and installation

Offshore Wind Energy Technology

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Publisher : John Wiley & Sons
ISBN 13 : 1119097789
Total Pages : 459 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Offshore Wind Energy Technology by : Olimpo Anaya-Lara

Download or read book Offshore Wind Energy Technology written by Olimpo Anaya-Lara and published by John Wiley & Sons. This book was released on 2018-05-11 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A COMPREHENSIVE REFERENCE TO THE MOST RECENT ADVANCEMENTS IN OFFSHORE WIND TECHNOLOGY Offshore Wind Energy Technology offers a reference based on the research material developed by the acclaimed Norwegian Research Centre for Offshore Wind Technology (NOWITECH) and material developed by the expert authors over the last 20 years. This comprehensive text covers critical topics such as wind energy conversion systems technology, control systems, grid connection and system integration, and novel structures including bottom-fixed and floating. The text also reviews the most current operation and maintenance strategies as well as technologies and design tools for novel offshore wind energy concepts. The text contains a wealth of mathematical derivations, tables, graphs, worked examples, and illustrative case studies. Authoritative and accessible, Offshore Wind Energy Technology: Contains coverage of electricity markets for offshore wind energy and then discusses the challenges posed by the cost and limited opportunities Discusses novel offshore wind turbine structures and floaters Features an analysis of the stochastic dynamics of offshore/marine structures Describes the logistics of planning, designing, building, and connecting an offshore wind farm Written for students and professionals in the field, Offshore Wind Energy Technology is a definitive resource that reviews all facets of offshore wind energy technology and grid connection.

Investigation of Multiple Data Streams for Gearbox Bearing Fault Prediction Through Machine-learning Models

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis Investigation of Multiple Data Streams for Gearbox Bearing Fault Prediction Through Machine-learning Models by : Lindy Williams

Download or read book Investigation of Multiple Data Streams for Gearbox Bearing Fault Prediction Through Machine-learning Models written by Lindy Williams and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Observer-based Fault Diagnosis of Wind Turbines

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Publisher :
ISBN 13 :
Total Pages : 56 pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis Observer-based Fault Diagnosis of Wind Turbines by : Songling Zhao

Download or read book Observer-based Fault Diagnosis of Wind Turbines written by Songling Zhao and published by . This book was released on 2011 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because wind is a clean and renewable energy, it is in high demand as an alternative resource of fossil fuels for our daily power supply. Thus, wind turbine technology is wildly applied to convert the wind energy to electrical power. With the size of the wind turbines increased, the maintenance cost of the wind turbines also goes up. Fault diagnosis can significantly help wind turbines to: reduce the maintenance cost, the machinery breakdown, spare parts inventories, total machine downtime, and overtime expenses, and increase machine life, overall productivity, and profit. The technical challenges for fault diagnosis of the wind turbine are that the wind itself is hardly measureable, and the aerodynamics of the turbine is nonlinear. In this research we will present a robust observer-based fault diagnosis method for wind turbines. A benchmarked model of wind turbine for fault diagnosis is considered in this thesis. An observer-based fault diagnosis method is formulated to detect and isolate the faults under consideration. For each fault, a fault detection residual is used to indicate the occurrence of the fault, and a set of fault isolation residuals are developed to determine the type and the location of the fault. Each isolation residual is designed based on a particular fault scenario under consideration. The FDI design is achieved by utilizing certain particular structures of the benchmarked model without estimation the wind speed or the aerodynamics of the turbine. Simulation results are presented to illustrate the effectiveness of the developed method.

Fault Detection and Isolation of Wind Turbines Using Immune System Inspired Algorithms

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Publisher :
ISBN 13 :
Total Pages : 166 pages
Book Rating : 4.:/5 (113 download)

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Book Synopsis Fault Detection and Isolation of Wind Turbines Using Immune System Inspired Algorithms by : Esmaeil AliZadeh

Download or read book Fault Detection and Isolation of Wind Turbines Using Immune System Inspired Algorithms written by Esmaeil AliZadeh and published by . This book was released on 2017 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, the research focus on renewable sources of energy has been growing intensively. This is mainly due to potential depletion of fossil fuels and its associated environmental concerns, such as pollution and greenhouse gas emissions. Wind energy is one of the fastest growing sources of renewable energy, and policy makers in both developing and developed countries have built their vision on future energy supply based on and by emphasizing the wind power. The increase in the number of wind turbines, as well as their size, have led to undeniable care and attention to health and condition monitoring as well as fault diagnosis of wind turbine systems and their components.In this thesis, two main immune inspired algorithms are used to perform Fault Detection and Isolation (FDI) of a Wind Turbine (WT), namely the Negative Selection Algorithm (NSA) as well as the Dendritic Cell Algorithm (DCA).First, an NSA-based fault diagnosis methodology is proposed in which a hierarchical bank of NSAs is used to detect and isolate both individual as well as simultaneously occurring faults common to the wind turbines. A smoothing moving window filter is then utilized to further improve the reliability and performance of the proposed FDI scheme. Moreover, the performance of the proposed scheme is compared with the state-of-the-art data-driven technique, namely Support Vector Machine (SVM) to demonstrate and illustrate the superiority and advantages of the proposed NSA-based FDI scheme. Finally, a nonparametric statistical comparison test is implemented to evaluate the proposed methodology with that of the SVM under various fault severities.In the second part, another immune inspired methodology, namely the Dendritic Cell Algorithm (DCA) is used to perform online sensor fault FDI. A noise filter is also designed to attenuate the measurement noise, resulting in better FDI results. The proposed DCA-based FDI scheme is then compared with the previously developed NSA-based FDI scheme, and a nonparametric statistical comparison test is also performed.Both of the proposed immune inspired frameworks are applied to a well-known wind turbine benchmark model in order to validate the effectiveness of the proposed methodologies.

IJPHM Special Issue on Wind Turbine PHM (Color)

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Publisher : Lulu.com
ISBN 13 : 1936263092
Total Pages : 166 pages
Book Rating : 4.9/5 (362 download)

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Book Synopsis IJPHM Special Issue on Wind Turbine PHM (Color) by : PHM Society

Download or read book IJPHM Special Issue on Wind Turbine PHM (Color) written by PHM Society and published by Lulu.com. This book was released on 2013-09-17 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: IJPHM Special issue on Wind Turbine PHM is the first special issue that discusses the state-of-the-art in PHM of wind turbine systems. This Special Issue contains 14 excellent papers that highlight a wide range of current research and application topics related to wind turbine PHM. Fault diagnostics is an important aspect of wind turbine PHM. Eight papers included in this special issue deal with fault diagnostics of different parts of a wind turbine. Each of these papers presents different fault diagnostic techniques and sensing technologies.

Structural Prognostics and Health Management in Power & Energy Systems

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Publisher : MDPI
ISBN 13 : 3039217666
Total Pages : 216 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Structural Prognostics and Health Management in Power & Energy Systems by : Dong Wang

Download or read book Structural Prognostics and Health Management in Power & Energy Systems written by Dong Wang and published by MDPI. This book was released on 2019-11-21 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of preparing an Energies Special Issue on “Structural Prognostics and Health Management in Power & Energy Systems” is to compile information on the recent advances in structural prognostics and health management (SPHM). Continued improvements on SPHM have been made possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining deterministic and probabilistic modeling techniques, research on SPHM can provide assurance for new structures at a design stage and ensure construction integrity at a fabrication phase. Specifically, power and energy system failures occur under multiple sources of uncertainty/variability resulting from load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on SPHM are desired and expected, which attempt to prevent overdesign and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved. This Special Issue has attracted submissions from China, USA, Portugal, and Italy. A total of 26 submissions were received and 11 articles finally published.