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Model Based Fault Detection And Isolation Techniques For Wind Turbines
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Book Synopsis Model-based Fault Detection and Isolation Techniques for Wind Turbines by : Abdulhamed Hwas
Download or read book Model-based Fault Detection and Isolation Techniques for Wind Turbines written by Abdulhamed Hwas and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of the work of this thesis is to design model-based fault detection and isolation techniques for a large-scale wind turbine. A mathematical model of the 5MW wind turbine was developed; the model was sufficiently detailed to be used for simulation purposes. The stages of the modelling procedure were to divide the overall wind turbine system into appropriate sub-models suitable for separate modelling. Each sub-model was then presented and combined in order to obtain a completed non-linear wind turbine model. Two methods are proposed to calculate the gains of a proportional-integral (PI) pitch angle controller for the non-linear model: the first method is analytical and the second method is based on simulation. The simulation results demonstrated good performance for both proposed PI schemes. In order to design an electrical torque controller, an internal model controlbased PI controller was used to find the gains of the current and of the torque controller; good static and dynamic performance were achieved. In this thesis, a quantitative model-based method for early detection and diagnosis of wind turbine faults is proposed. The method is based on designing an observer by using a linear model of the system; the observer innovation signal is monitored to detect faults. The fault detection system was designed and optimised to be maximally sensitive to system faults and minimally sensitive to system disturbances and noise; a multi-objective optimisation method was utilised to address this dual problem. Simulation results are presented to demonstrate the performance of the proposed method. Next, a non-linear observer-based scheme for early fault detection and isolation of wind turbines was developed. The method is based on designing a nonlinear observer using a non-linear model of the wind turbine. The state-dependent differential Riccati equation was used to design a non-linear observer. The comparison of system outputs with non-linear observer estimation confirmed good performance of the non-linear observer. Based on the non-linear observer, a residual generator for monitoring wind turbine model was formulated. Simulation results illustrated that the proposed method is a robust method in detecting and isolating a single fault or multi-faults in wind turbine sensors.
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.
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.
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.
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
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
Book Synopsis Fault Detection and Isolation for Wind Turbine Dynamic Systems by : Y. Liu
Download or read book Fault Detection and Isolation for Wind Turbine Dynamic Systems written by Y. Liu and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fault Diagnosis and Detection by : Mustafa Demetgul
Download or read book Fault Diagnosis and Detection written by Mustafa Demetgul and published by BoD – Books on Demand. This book was released on 2017-05-31 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mass production companies have become obliged to reduce their production costs and sell more products with lower profit margins in order to survive in competitive market conditions. The complexity and automation level of machinery are continuously growing. This development calls for some of the most critical issues that are reliability and dependability of automatic systems. In the future, machines will be monitored remotely, and computer-aided techniques will be employed to detect faults in the future, and also there will be unmanned factories where machines and systems communicate to each other, detect their own faults, and can remotely intercept their faults. The pioneer studies of such systems are fault diagnosis studies. Thus, we hope that this book will contribute to the literature in this regard.
Book Synopsis Investigation of Model-based Sensor Fault Detection for Wind Turbines Using a Single Sensor by : Fatima Azzahra El Azzouzi
Download or read book Investigation of Model-based Sensor Fault Detection for Wind Turbines Using a Single Sensor written by Fatima Azzahra El Azzouzi and published by . This book was released on 2012 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Model Based Fault Detection and Isolation in Nonlinear Dynamic Systems by : Vasanth Krishnaswami
Download or read book Model Based Fault Detection and Isolation in Nonlinear Dynamic Systems written by Vasanth Krishnaswami and published by . This book was released on 1996 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Automated On-line Early Fault Diagnosis of Wind Turbines Based on Hybrid Dynamic Classifier by : Houari Toubakh
Download or read book Automated On-line Early Fault Diagnosis of Wind Turbines Based on Hybrid Dynamic Classifier written by Houari Toubakh and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis addresses the problem of automatic detection and isolation of drift-like faults in wind turbines (WTs). The main aim of this thesis is to develop a generic on-line adaptive machine learning and data mining scheme that integrates drift detection and isolation mechanism in order to achieve the simple and multiple drift-like fault diagnosis in WTs, in particular pitch system and power converter. The proposed scheme is based on the decomposition of the wind turbine into several components. Then, a classifier is designed and used to achieve the diagnosis of faults impacting each component. The goal of this decomposition into components is to facilitate the isolation of faults and to increase the robustness of the scheme in the sense that when the classifier related to one component is failed, the classifiers for the other components continue to achieve the diagnosis for faults in their corresponding components. This scheme has also the advantage to take into account the WT hybrid dynamics. Indeed, some WT components (as pitch system and power converter) manifest both discrete and continuous dynamic behaviors. In each discrete mode, or a configuration, different continuous dynamics are defined.
Book Synopsis Advances in Fault Detection and Diagnosis Using Filtering Analysis by : Ziyun Wang
Download or read book Advances in Fault Detection and Diagnosis Using Filtering Analysis written by Ziyun Wang and published by Springer Nature. This book was released on 2021-10-25 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.
Book Synopsis Model-Based Fault Diagnosis by : Zhenhua Wang
Download or read book Model-Based Fault Diagnosis written by Zhenhua Wang and published by Springer Nature. This book was released on 2022-10-28 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates in detail model-based fault diagnosis methods, including observer-based residual generation, residual evaluation based on threshold computation, observer-based fault isolation strategies, observer-based fault estimation, Kalman filter-based fault diagnosis methods, and parity space approach. Studies on model-based fault diagnosis have attracted engineers and scientists from various disciplines, such as electrical, aerospace, mechanical, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of state-space approach. The methods introduced in the book are systemic and easy to follow. The book is intended for undergraduate and graduate students who are interested in fault diagnosis and state estimation, researchers investigating fault diagnosis and fault-tolerant control, and control system design engineers working on safety-critical systems.
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.
Book Synopsis Filter-Based Fault Diagnosis and Remaining Useful Life Prediction by : Yong Zhang
Download or read book Filter-Based Fault Diagnosis and Remaining Useful Life Prediction written by Yong Zhang and published by CRC Press. This book was released on 2023-02-10 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.
Book Synopsis Imaging-based Fault Detection of Wind Turbines by : Songyang Yu
Download or read book Imaging-based Fault Detection of Wind Turbines written by Songyang Yu and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
