Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Fault Diagnosis For Robust Inverter Power Drives
Download Fault Diagnosis For Robust Inverter Power Drives full books in PDF, epub, and Kindle. Read online Fault Diagnosis For Robust Inverter Power Drives ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Fault Diagnosis for Robust Inverter Power Drives by : Antonio Ginart
Download or read book Fault Diagnosis for Robust Inverter Power Drives written by Antonio Ginart and published by Energy Engineering. This book was released on 2019-01-10 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault Diagnosis for Robust Inverter Power Drives focuses on early diagnosis, prognosis, and intrinsic reliability of inverter power drives and their applications. Topics include material degradation, materials, semiconductors, inverter topologies, and early diagnosis as well as fault tolerant software strategies.
Book Synopsis Robust Condition Monitoring and Fault Diagnosis of Variable Speed Induction Motor Drives by : Seungdeog Choi
Download or read book Robust Condition Monitoring and Fault Diagnosis of Variable Speed Induction Motor Drives written by Seungdeog Choi and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The main types of faults studied in the literature are commonly categorized as electrical faults and mechanical faults. In addition to well known faults, the performance of a diagnostic algorithm and its operational reliability in harsh environments has been another concern. In this work, the reliability of an electric motor diagnosis signal processing algorithm itself is studied in detail under harsh industrial conditions. Reliability and robustness of the diagnosis has especially been investigated under 1) potential motor feedback error; 2) noise interference to a diagnosis-relevant system; 3) ease of implementation; and 4) universal application of diagnostic scheme in industry. Low cost and flexible implementation strategies are also presented. 1) Signature-based diagnosis has been performed utilizing the speed feedback information which is used to determine fault characteristic frequency. Therefore, feedback information is required to maintain high accuracy for precise diagnosis which, in fact, is not the case in a practical industrial environment due to industrial noise interferences. In this dissertation, the performance under feedback error is analyzed in detail and error compensation algorithms are proposed. 2) Fault signatures are commonly small where the amplitude is continuously being interfered with motor noise. Even though a decision is based on the signature, the detection error will not be negligible if the signature amplitude is within or close to the noise floor because the boundary noise level non-linearly varies and, hence, is quite ambiguous. In this dissertation, the effect of noise interference is analyzed in detail and a threshold design strategy is presented to discriminate potential noise content in diagnosis. 3) The compensating procedure of speed feedback errors and electrical machine current noise, characteristics which are basically non-stationary random variables, requires an exhaustive tracking effort. In this dissertation, the effective diagnosis implementation strategy is precisely presented for digital signal processor (DSP) system application. 4) Most of the diagnosis algorithms in the literature are developed assuming specific detection conditions which makes application difficult for universal diagnosis purposes. In this dissertation, by assuming a sinusoidal fault signal and its Gaussian noise contents, a general diagnosis algorithm is derived which can be applied to any diagnostic scheme as a basic tool.
Book Synopsis Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives by : Elias G. Strangas
Download or read book Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives written by Elias G. Strangas and published by John Wiley & Sons. This book was released on 2021-11-19 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives An insightful treatment of present and emerging technologies in fault diagnosis and failure prognosis In Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives, a team of distinguished researchers delivers a comprehensive exploration of current and emerging approaches to fault diagnosis and failure prognosis of electrical machines and drives. The authors begin with foundational background, describing the physics of failure, the motor and drive designs and components that affect failure and signals, signal processing, and analysis. The book then moves on to describe the features of these signals and the methods commonly used to extract these features to diagnose the health of a motor or drive, as well as the methods used to identify the state of health and differentiate between possible faults or their severity. Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives discusses the tools used to recognize trends towards failure and the estimation of remaining useful life. It addresses the relationships between fault diagnosis, failure prognosis, and fault mitigation. The book also provides: A thorough introduction to the modes of failure, how early failure precursors manifest themselves in signals, and how features extracted from these signals are processed A comprehensive exploration of the fault diagnosis, the results of characterization, and how they used to predict the time of failure and the confidence interval associated with it A focus on medium-sized drives, including induction, permanent magnet AC, reluctance, and new machine and drive types Perfect for researchers and students who wish to study or practice in the rea of electrical machines and drives, Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives is also an indispensable resource for researchers with a background in signal processing or statistics.
Book Synopsis Robust Model-Based Fault Diagnosis for Dynamic Systems by : Jie Chen
Download or read book Robust Model-Based Fault Diagnosis for Dynamic Systems written by Jie Chen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an increasing demand for dynamic systems to become more safe and reliable. This requirement extends beyond the normally accepted safety-critical systems of nuclear reactors and aircraft where safety is paramount important, to systems such as autonomous vehicles and fast railways where the system availability is vital. It is clear that fault diagnosis (including fault detection and isolation, FDI) has been becoming an important subject in modern control theory and practice. For example, the number of papers on FDI presented in many control-related conferences has been increasing steadily. The subject of fault detection and isolation continues to mature to an established field of research in control engineering. A large amount of knowledge on model-based fault diagnosis has been ac cumulated through the literature since the beginning of the 1970s. However, publications are scattered over many papers and a few edited books. Up to the end of 1997, there is no any book which presents the subject in an unified framework. The consequence of this is the lack of "common language", dif ferent researchers use different terminology. This problem has obstructed the progress of model-based FDI techniques and has been causing great concern in research community. Many survey papers have been published to tackle this problem. However, a book which presents the materials in a unified format and provides a comprehensive foundation of model-based FDI is urgently needed.
Book Synopsis Robust Model-Based Fault Diagnosis for DC Zonal Electrical Distribution System by :
Download or read book Robust Model-Based Fault Diagnosis for DC Zonal Electrical Distribution System written by and published by . This book was released on 2007 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: A key element of the U.S. Navy's transition to an electric naval force is an Integrated Power System (IPS) that provides continuity of service to vital systems despite combat damage. In order to meet subsequent survivability standards under a reduced manning constraint, the IPS system must include a fault tolerant control scheme, capable of achieving automated graceful degradation despite major disruptions involving cascading failures. Toward this objective, online modelbased residual generation techniques are proposed, which identify explicitly defined faults within a stochastic DC Zonal Electrical Distribution System (DC ZEDS). Two novel polynomial approaches to the design of unknown input observers (UIO) are developed to estimate the partial state and, under certain conditions, the unknown input. These methods are shown to apply to a larger class of systems compared to standard projection based approaches where the UIO rank condition is not satisfied. It is shown that the partial-state estimate is sufficient to the computation of residuals for fault diagnosis, even in such cases where full-state estimation is not possible. In order to reduce the complexity of the system, a modular approach to Fault Detection and Isolation (FDI) is presented. Here, the innovations generated from a bank of Kalman filters (some of them UIOs) act as a structured residual set for the stochastic DC ZEDS subsystem modules and are shown to detect and isolate various classes of faults. Certain mathematical models are also shown to effectively identify input/output consistency of systems in explicitly defined fault conditions. Numerical simulation results are based on the well-documented Office of Naval Research Control Challenge benchmark system, which represents a prototypical U.S. Navy shipboard IPS power distribution system.
Book Synopsis Model-Based Fault Diagnosis in Electric Drive Inverters Using Artificial Neural Network by :
Download or read book Model-Based Fault Diagnosis in Electric Drive Inverters Using Artificial Neural Network written by and published by . This book was released on 2006 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents research in model-based fault diagnostics for the power electronics inverter-based induction motor drives. A normal model and various faulted models of the inverter-motor combination were developed, and voltages and current signals were generated from those models to train an artificial neural network for fault diagnosis. Instead of simple open-loop circuits, our research focuses on closed-loop circuits. Our simulation experiments show that this model-based fault diagnostic approach is effective in detecting single switch open-circuit faults as well as post-short-circuit conditions occurring in power electronics inverter-based electrical drives.
Book Synopsis Diagnosis, Fault Detection & Tolerant Control by : Nabil Derbel
Download or read book Diagnosis, Fault Detection & Tolerant Control written by Nabil Derbel and published by Springer Nature. This book was released on 2020-02-20 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on unhealthy cyber-physical systems. Consisting of 14 chapters, it discusses recognizing the beginning of the fault, diagnosing the appearance of the fault, and stopping the system or switching to a special control mode known as fault-tolerant control. Each chapter includes the background, motivation, quantitative development (equations), and case studies/illustration/tutorial (simulations, experiences, curves, tables, etc.). Readers can easily tailor the techniques presented to accommodate their ad hoc applications.
Book Synopsis Advanced Condition Monitoring and Fault Diagnosis of Electric Machines by : Irfan, Muhammad
Download or read book Advanced Condition Monitoring and Fault Diagnosis of Electric Machines written by Irfan, Muhammad and published by IGI Global. This book was released on 2018-09-14 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reliability of induction motors is a major requirement in many industrial applications. It is especially important where an unexpected breakdown might result in the interruption of critical services such as military operations, transportation, aviation, and medical applications. Advanced Condition Monitoring and Fault Diagnosis of Electric Machines is a collection of innovative research on various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, and new trends in condition monitoring. It also pays special attention to the fault identification process. While highlighting topics including spectral analysis, electrical engineering, and bearing faults, this book is an ideal reference source for electrical engineers, mechanical engineers, researchers, and graduate-level students seeking current research on various methods of maintaining machinery.
Book Synopsis Fault-Diagnosis Systems by : Rolf Isermann
Download or read book Fault-Diagnosis Systems written by Rolf Isermann and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: With increasing demands for efficiency and product quality plus progress in the integration of automatic control systems in high-cost mechatronic and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role. The book gives an introduction into advanced methods of fault detection and diagnosis (FDD). After definitions of important terms, it considers the reliability, availability, safety and systems integrity of technical processes. Then fault-detection methods for single signals without models such as limit and trend checking and with harmonic and stochastic models, such as Fourier analysis, correlation and wavelets are treated. This is followed by fault detection with process models using the relationships between signals such as parameter estimation, parity equations, observers and principal component analysis. The treated fault-diagnosis methods include classification methods from Bayes classification to neural networks with decision trees and inference methods from approximate reasoning with fuzzy logic to hybrid fuzzy-neuro systems. Several practical examples for fault detection and diagnosis of DC motor drives, a centrifugal pump, automotive suspension and tire demonstrate applications.
Book Synopsis Unknown Input Observer Approaches to Robust Fault Diagnosis by : Xiaoyu Sun
Download or read book Unknown Input Observer Approaches to Robust Fault Diagnosis written by Xiaoyu Sun and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Identification and Fault Diagnosis Using Set-membership Approaches by : Joaquín Blesa Izquierdo
Download or read book Robust Identification and Fault Diagnosis Using Set-membership Approaches written by Joaquín Blesa Izquierdo and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fault-Diagnosis Applications by : Rolf Isermann
Download or read book Fault-Diagnosis Applications written by Rolf Isermann and published by Springer Science & Business Media. This book was released on 2011-04-06 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes and vehicles in order to improve reliability, availability, maintenance and lifetime. For safety-related processes fault-tolerant systems with redundancy are required in order to reach comprehensive system integrity. This book is a sequel of the book “Fault-Diagnosis Systems” published in 2006, where the basic methods were described. After a short introduction into fault-detection and fault-diagnosis methods the book shows how these methods can be applied for a selection of 20 real technical components and processes as examples, such as: Electrical drives (DC, AC) Electrical actuators Fluidic actuators (hydraulic, pneumatic) Centrifugal and reciprocating pumps Pipelines (leak detection) Industrial robots Machine tools (main and feed drive, drilling, milling, grinding) Heat exchangers Also realized fault-tolerant systems for electrical drives, actuators and sensors are presented. The book describes why and how the various signal-model-based and process-model-based methods were applied and which experimental results could be achieved. In several cases a combination of different methods was most successful. The book is dedicated to graduate students of electrical, mechanical, chemical engineering and computer science and for engineers.
Book Synopsis Robust Fault Diagnosis of Physical Systems in Operation by : Kathy Hamilton Abbott
Download or read book Robust Fault Diagnosis of Physical Systems in Operation written by Kathy Hamilton Abbott and published by . This book was released on 1990 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Antonio J. Marques Cardoso Publisher :Institution of Engineering and Technology ISBN 13 :1785615319 Total Pages :373 pages Book Rating :4.7/5 (856 download)
Book Synopsis Diagnosis and Fault Tolerance of Electrical Machines, Power Electronics and Drives by : Antonio J. Marques Cardoso
Download or read book Diagnosis and Fault Tolerance of Electrical Machines, Power Electronics and Drives written by Antonio J. Marques Cardoso and published by Institution of Engineering and Technology. This book was released on 2018-10-19 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electrical machines and drives, and their associated power electronics, are a key part of an industrialized society. Reliability is a major challenge in systems design, operation, and maintenance of these technologies. Unreliable systems drive up costs, so diagnostics and fault tolerance become important to help maintain the system and estimate its operational lifetime.
Book Synopsis Knowledge-Driven Board-Level Functional Fault Diagnosis by : Fangming Ye
Download or read book Knowledge-Driven Board-Level Functional Fault Diagnosis written by Fangming Ye and published by Springer. This book was released on 2016-08-19 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive set of characterization, prediction, optimization, evaluation, and evolution techniques for a diagnosis system for fault isolation in large electronic systems. Readers with a background in electronics design or system engineering can use this book as a reference to derive insightful knowledge from data analysis and use this knowledge as guidance for designing reasoning-based diagnosis systems. Moreover, readers with a background in statistics or data analytics can use this book as a practical case study for adapting data mining and machine learning techniques to electronic system design and diagnosis. This book identifies the key challenges in reasoning-based, board-level diagnosis system design and presents the solutions and corresponding results that have emerged from leading-edge research in this domain. It covers topics ranging from highly accurate fault isolation, adaptive fault isolation, diagnosis-system robustness assessment, to system performance analysis and evaluation, knowledge discovery and knowledge transfer. With its emphasis on the above topics, the book provides an in-depth and broad view of reasoning-based fault diagnosis system design. • Explains and applies optimized techniques from the machine-learning domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing;• Demonstrates techniques based on industrial data and feedback from an actual manufacturing line;• Discusses practical problems, including diagnosis accuracy, diagnosis time cost, evaluation of diagnosis system, handling of missing syndromes in diagnosis, and need for fast diagnosis-system development.
Author : Publisher : ISBN 13 :1785617052 Total Pages :249 pages Book Rating :4.7/5 (856 download)
Download or read book written by and published by . This book was released on with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Robust Simulation-before-test Technique for Nonlinear Fault Diagnosis by : Wei Cheng Wu
Download or read book A Robust Simulation-before-test Technique for Nonlinear Fault Diagnosis written by Wei Cheng Wu and published by . This book was released on 1984 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
