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Structural System Identification
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Book Synopsis System Identification for Structural Health Monitoring by : Izuru Takewaki
Download or read book System Identification for Structural Health Monitoring written by Izuru Takewaki and published by WIT Press. This book was released on 2012 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: System identification (SI) techniques are important in reducing gaps between the constructed structural systems and their structural design models and in health monitoring for damage detection. Modal-parameter SI and physical-parameter SI are two major branches in SI.Special character of this book: (1) The physical-parameter SI method explained in this book requires only two accelerometers for measurement of records. Furthermore only a simple manipulation of Fourier transformation is required.(2) The stiffness and damping can be identified simultaneously.(3) The modal parameter SI can supplement or support the result by the physical-parameter SI method.(4) In place of usual low-pass or high-pass filter techniques, a novel noise-bias compensation method is explained. Because the noise itself is not known in many cases, the identification and elimination of noise is a tough problem.(5) A new technique of system identification is explained in the case where an inner vibration source exists.(6) The accuracy of the explained SI methods is examined by the actual recorded data.(7) MATLAB codes are available.This book is intended for Structural Engineers, Mechanical Engineers, Researchers, Graduate and undergraduate students.
Book Synopsis Structural Identification of Constructed Systems by :
Download or read book Structural Identification of Constructed Systems written by and published by ASCE Press. This book was released on 2013-05 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report presents research in structural engineering that bridges the gap between models and real structures by developing more reliable estimates of the performance and vulnerability of existing structural systems.
Book Synopsis Applied System Identification by : Jer-Nan Juang
Download or read book Applied System Identification written by Jer-Nan Juang and published by . This book was released on 1994 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: System identification is the process of developing or improving a mathematical representation of a physical system using experimental data. Over the past decade, several system identification techniques have been developed within different disciplines. This text/reference brings together the significant advances over the past decade into a single unified source -- with common mathematical notation that will enable readers from a variety of engineering areas -- e.g., aerospace, electrical, civil, and mechanical engineering --to apply system identification to engineering systems. Focuses on the three types of identification in engineering structures -- modal parameter identification; structural-model parameter identification; and control-model identification. For researchers and engineers, students, and teachers in vibrations, controls and system identification.
Book Synopsis Aircraft and Rotorcraft System Identification by : Mark Brian Tischler
Download or read book Aircraft and Rotorcraft System Identification written by Mark Brian Tischler and published by AIAA Education. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although many books have been written on the theory of system identification, few are available that provide a complete engineering treatment of system identification and how to successfully apply it to flight vehicles. This book presents proven methods, practical guidelines, and real-world flight-test results for a wide range of state-of-the-art flight vehicles, from small uncrewed aerial vehicles (UAVs) to large manned aircraft/rotorcraft.
Book Synopsis Structural System Identification by :
Download or read book Structural System Identification written by and published by . This book was released on 1997 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural system identification is concerned with the development of systematic procedures and tools for developing predictive analytical models based on a physical structure's dynamic response characteristics. It is a multidisciplinary process that involves the ability (1) to define high fidelity physics-based analysis models, (2) to acquire accurate test-derived information for physical specimens using diagnostic experiments, (3) to validate the numerical simulation model by reconciling differences that inevitably exist between the analysis model and the experimental data, and (4) to quantify uncertainties in the final system models and subsequent numerical simulations. The goal of this project was to develop structural system identification techniques and software suitable for both research and production applications in code and model validation.
Book Synopsis Nonlinearity in Structural Dynamics by : K Worden
Download or read book Nonlinearity in Structural Dynamics written by K Worden and published by CRC Press. This book was released on 2019-04-23 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many types of engineering structures exhibit nonlinear behavior under real operating conditions. Sometimes the unpredicted nonlinear behavior of a system results in catastrophic failure. In civil engineering, grandstands at sporting events and concerts may be prone to nonlinear oscillations due to looseness of joints, friction, and crowd movements.
Book Synopsis Identification Methods for Structural Health Monitoring by : Eleni Chatzi
Download or read book Identification Methods for Structural Health Monitoring written by Eleni Chatzi and published by Springer. This book was released on 2016-05-25 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume provide an introduction to well known and established system identification methods for structural health monitoring and to more advanced, state-of-the-art tools, able to tackle the challenges associated with actual implementation. Starting with an overview on fundamental methods, introductory concepts are provided on the general framework of time and frequency domain, parametric and non-parametric methods, input-output or output only techniques. Cutting edge tools are introduced including, nonlinear system identification methods; Bayesian tools; and advanced modal identification techniques (such as the Kalman and particle filters, the fast Bayesian FFT method). Advanced computational tools for uncertainty quantification are discussed to provide a link between monitoring and structural integrity assessment. In addition, full scale applications and field deployments that illustrate the workings and effectiveness of the introduced monitoring schemes are demonstrated.
Book Synopsis Structural System Identification Technology Verification by :
Download or read book Structural System Identification Technology Verification written by and published by . This book was released on 1981 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural system identification is the method of obtaining structural and dynamic mathematical models and improving existing mathematical models using ground vibration test data. The purpose of the subject program was to perform experimental, development, and research work to verify the concepts of structural system identification technology. To accomplish this, system identification techniques were applied to a U.S. Army AH-1G helicopter fuselage to create a mathematical model from ground vibration test data, to improve a reduced model of an existing NASTRAN model of the AH-1G using shake test data, and to test the effectiveness of these new mathematical models in predicting the effects of stiffness and mass changes to the airframe. The results of the program indicate that system identification is a viable and cost-effective technique for developing new models and for improving existing finite-element models of an airframe using ground vibration test data. (Author).
Book Synopsis Identification and Control of Mechanical Systems by : Jer-Nan Juang
Download or read book Identification and Control of Mechanical Systems written by Jer-Nan Juang and published by Cambridge University Press. This book was released on 2001-08-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The control of vibrating systems is a significant issue in the design of aircraft, spacecraft, bridges and high-rise buildings. This 2001 book discusses the control of vibrating systems, integrating structural dynamics, vibration analysis, modern control and system identification. Integrating these subjects is an important feature in that engineers will need only one book, rather than several texts or courses, to solve vibration control problems. The book begins with a review of basic mathematics needed to understand subsequent material. Chapters then cover more recent and valuable developments in aerospace control and identification theory, including virtual passive control, observer and state-space identification, and data-based controller synthesis. Many practical issues and applications are addressed, with examples showing how various methods are applied to real systems. Some methods show the close integration of system identification and control theory from the state-space perspective, rather than from the traditional input-output model perspective of adaptive control. This text will be useful for advanced undergraduate and beginning graduate students in aerospace, mechanical and civil engineering, as well as for practising engineers.
Book Synopsis Subspace Identification for Linear Systems by : Peter van Overschee
Download or read book Subspace Identification for Linear Systems written by Peter van Overschee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Subspace Identification for Linear Systems focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finite- dimensional dynamical systems. These algorithms allow for a fast, straightforward and accurate determination of linear multivariable models from measured input-output data. The theory of subspace identification algorithms is presented in detail. Several chapters are devoted to deterministic, stochastic and combined deterministic-stochastic subspace identification algorithms. For each case, the geometric properties are stated in a main 'subspace' Theorem. Relations to existing algorithms and literature are explored, as are the interconnections between different subspace algorithms. The subspace identification theory is linked to the theory of frequency weighted model reduction, which leads to new interpretations and insights. The implementation of subspace identification algorithms is discussed in terms of the robust and computationally efficient RQ and singular value decompositions, which are well-established algorithms from numerical linear algebra. The algorithms are implemented in combination with a whole set of classical identification algorithms, processing and validation tools in Xmath's ISID, a commercially available graphical user interface toolbox. The basic subspace algorithms in the book are also implemented in a set of Matlab files accompanying the book. An application of ISID to an industrial glass tube manufacturing process is presented in detail, illustrating the power and user-friendliness of the subspace identification algorithms and of their implementation in ISID. The identified model allows for an optimal control of the process, leading to a significant enhancement of the production quality. The applicability of subspace identification algorithms in industry is further illustrated with the application of the Matlab files to ten practical problems. Since all necessary data and Matlab files are included, the reader can easily step through these applications, and thus get more insight in the algorithms. Subspace Identification for Linear Systems is an important reference for all researchers in system theory, control theory, signal processing, automization, mechatronics, chemical, electrical, mechanical and aeronautical engineering.
Book Synopsis Vibration Testing and Applications in System Identification of Civil Engineering Structures by : Heung-Fai Lam
Download or read book Vibration Testing and Applications in System Identification of Civil Engineering Structures written by Heung-Fai Lam and published by CRC Press. This book was released on 2022-09-06 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers vibration testing and identification of dynamic structural systems. It starts from the fundamentals of structural dynamics, and covers the methods of modal analysis and model identification, vibration tests and the related experimental setup. It concludes with an outline of the authors‘ software, demonstrating practical applications, and illustrated with real-world case studies of full-scale structures. Theory is presented and derived step-by-step, with a detailed measurement system developed for vibration tests. This book is written for Masters students and enables them to understand the theories of system identification and empowers them to apply this in practice.
Book Synopsis Principles of System Identification by : Arun K. Tangirala
Download or read book Principles of System Identification written by Arun K. Tangirala and published by CRC Press. This book was released on 2018-10-08 with total page 908 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-driven or measurement-based process operations, system identification is an interface that is based on observational science, and centers on developing mathematical models from observed data. Principles of System Identification: Theory and Practice is an introductory-level book that presents the basic foundations and underlying methods relevant to system identification. The overall scope of the book focuses on system identification with an emphasis on practice, and concentrates most specifically on discrete-time linear system identification. Useful for Both Theory and Practice The book presents the foundational pillars of identification, namely, the theory of discrete-time LTI systems, the basics of signal processing, the theory of random processes, and estimation theory. It explains the core theoretical concepts of building (linear) dynamic models from experimental data, as well as the experimental and practical aspects of identification. The author offers glimpses of modern developments in this area, and provides numerical and simulation-based examples, case studies, end-of-chapter problems, and other ample references to code for illustration and training. Comprising 26 chapters, and ideal for coursework and self-study, this extensive text: Provides the essential concepts of identification Lays down the foundations of mathematical descriptions of systems, random processes, and estimation in the context of identification Discusses the theory pertaining to non-parametric and parametric models for deterministic-plus-stochastic LTI systems in detail Demonstrates the concepts and methods of identification on different case-studies Presents a gradual development of state-space identification and grey-box modeling Offers an overview of advanced topics of identification namely the linear time-varying (LTV), non-linear, and closed-loop identification Discusses a multivariable approach to identification using the iterative principal component analysis Embeds MATLAB® codes for illustrated examples in the text at the respective points Principles of System Identification: Theory and Practice presents a formal base in LTI deterministic and stochastic systems modeling and estimation theory; it is a one-stop reference for introductory to moderately advanced courses on system identification, as well as introductory courses on stochastic signal processing or time-series analysis.The MATLAB scripts and SIMULINK models used as examples and case studies in the book are also available on the author's website: http://arunkt.wix.com/homepage#!textbook/c397
Book Synopsis Modern Testing Techniques for Structural Systems by : Oreste S. Bursi
Download or read book Modern Testing Techniques for Structural Systems written by Oreste S. Bursi and published by Springer Science & Business Media. This book was released on 2009-06-22 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles in this book describe new developments in the area of structural testing, particularly those based upon the principle of fusing numerical and experimental methods such as real-time dynamic substructuring and hardware-in-the loop testing. In addition to the hybrid methods, chapters on the latest develoments in more established techniques, such as shaking table testing, provide a completely up-to-date survey of structural testing methods. The book is characterized by a multidisciplinary nature of the work that integrates cutting-edge research from the fields of non-linear dynamics, automatic control, numerical analysis, system modelling and mechatronics.
Book Synopsis Nonlinear System Identification by : Oliver Nelles
Download or read book Nonlinear System Identification written by Oliver Nelles and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.
Book Synopsis System Identification by : Rik Pintelon
Download or read book System Identification written by Rik Pintelon and published by John Wiley & Sons. This book was released on 2004-04-05 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electrical Engineering System Identification A Frequency Domain Approach How does one model a linear dynamic system from noisy data? This book presents a general approach to this problem, with both practical examples and theoretical discussions that give the reader a sound understanding of the subject and of the pitfalls that might occur on the road from raw data to validated model. The emphasis is on robust methods that can be used with a minimum of user interaction. Readers in many fields of engineering will gain knowledge about: * Choice of experimental setup and experiment design * Automatic characterization of disturbing noise * Generation of a good plant model * Detection, qualification, and quantification of nonlinear distortions * Identification of continuous- and discrete-time models * Improved model validation tools and from the theoretical side about: * System identification * Interrelations between time- and frequency-domain approaches * Stochastic properties of the estimators * Stochastic analysis System Identification: A Frequency Domain Approach is written for practicing engineers and scientists who do not want to delve into mathematical details of proofs. Also, it is written for researchers who wish to learn more about the theoretical aspects of the proofs. Several of the introductory chapters are suitable for undergraduates. Each chapter begins with an abstract and ends with exercises, and examples are given throughout.
Book Synopsis Automated EEG-Based Diagnosis of Neurological Disorders by : Hojjat Adeli
Download or read book Automated EEG-Based Diagnosis of Neurological Disorders written by Hojjat Adeli and published by CRC Press. This book was released on 2010-02-09 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the authors' groundbreaking research, Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology presents a research ideology, a novel multi-paradigm methodology, and advanced computational models for the automated EEG-based diagnosis of neurological disorders. It is based on the ingenious integration of thr
Author :Ravindra V. Jategaonkar Publisher :AIAA (American Institute of Aeronautics & Astronautics) ISBN 13 : Total Pages :568 pages Book Rating :4.3/5 (91 download)
Book Synopsis Flight Vehicle System Identification by : Ravindra V. Jategaonkar
Download or read book Flight Vehicle System Identification written by Ravindra V. Jategaonkar and published by AIAA (American Institute of Aeronautics & Astronautics). This book was released on 2006 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: This valuable volume offers a systematic approach to flight vehicle system identification and exhaustively covers the time domain methodology. It addresses in detail the theoretical and practical aspects of various parameter estimation methods, including those in the stochastic framework and focusing on nonlinear models, cost functions, optimization methods, and residual analysis. A pragmatic and balanced account of pros and cons in each case is provided. The book also presents data gathering and model validation, and covers both large-scale systems and high-fidelity modeling. Real world problems dealing with a variety of flight vehicle applications are addressed and solutions are provided. Examples encompass such problems as estimation of aerodynamics, stability, and control derivatives from flight data, flight path reconstruction, nonlinearities in control surface effectiveness, stall hysteresis, unstable aircraft, and other critical considerations.
