{"product_id":"hilbert-transform-applications-in-mechanical-vibration-isbn-9780470978276","title":"Hilbert Transform Applications in Mechanical Vibration","description":"\u003ci\u003eHilbert Transform Applications in Mechanical Vibration\u003c\/i\u003e addresses recent advances in theory and applications of the Hilbert transform to vibration engineering, enabling laboratory dynamic tests to be performed more rapidly and accurately. The author integrates important pioneering developments in signal processing and mathematical models with typical properties of mechanical dynamic constructions such as resonance, nonlinear stiffness and damping. A comprehensive account of the main applications is provided, covering dynamic testing and the extraction of the modal parameters of nonlinear vibration systems, including the initial elastic and damping force characteristics. This unique merger of technical properties and digital signal processing allows the instant solution of a variety of engineering problems and the in-depth exploration of the physics of vibration by analysis, identification and simulation.  \u003cp\u003eThis book will appeal to both professionals and students working in mechanical, aerospace, and civil engineering, as well as naval architecture, biomechanics, robotics, and mechatronics.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eHilbert Transform Applications in Mechanical Vibration\u003c\/i\u003e employs modern applications of the Hilbert transform time domain methods including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe Hilbert Vibration Decomposition method for adaptive separation of a multi-component non-stationary vibration signal into simple quasi-harmonic components; this method is characterized by high frequency resolution, which provides a comprehensive account of the case of amplitude and frequency modulated vibration analysis.\u003c\/li\u003e \u003cli\u003eThe FREEVIB and FORCEVIB main applications, covering dynamic testing and extraction of the modal parameters of nonlinear vibration systems including the initial elastic and damping force characteristics under free and forced vibration regimes. Identification methods contribute to efficient and accurate testing of vibration systems, avoiding effort-consuming measurement and analysis.\u003c\/li\u003e \u003cli\u003ePrecise identification of nonlinear and asymmetric systems considering high frequency harmonics on the base of the congruent envelope and congruent frequency.\u003c\/li\u003e \u003cli\u003eAccompanied by a website at www.wiley.com\/go\/feldman, housing MATLAB®\/ SIMULINK codes.\u003c\/li\u003e \u003c\/ul\u003e  \u003cb\u003eList of Figures.\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eList of Tables.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePreface.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 INTRODUCTION\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e1.1 Brief History of the Hilbert Transform.\u003c\/p\u003e \u003cp\u003e1.2 Hilbert Transform in Vibration Analysis.\u003c\/p\u003e \u003cp\u003e1.3 Organization of the Book.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART I. HILBERT TRANSFORM AND ANALYTIC SIGNAL.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 ANALYTIC SIGNAL REPRESENTATION\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e2.1 Local Versus Global Estimations.\u003c\/p\u003e \u003cp\u003e2.2 The Hilbert Transform Notation.\u003c\/p\u003e \u003cp\u003e2.3 Main Properties of the Hilbert Transform.\u003c\/p\u003e \u003cp\u003e2.4 The Hilbert Transform of Multiplication.\u003c\/p\u003e \u003cp\u003e2.5 Analytic Signal Representation.\u003c\/p\u003e \u003cp\u003e2.6 Polar Notation.\u003c\/p\u003e \u003cp\u003e2.7 Angular Position and Speed.\u003c\/p\u003e \u003cp\u003e2.8 Signal Waveform and Envelope.\u003c\/p\u003e \u003cp\u003e2.9 Instantaneous Phase.\u003c\/p\u003e \u003cp\u003e2.10 Instantaneous Frequency.\u003c\/p\u003e \u003cp\u003e2.11 Envelope vs. Instantaneous Frequency Plot.\u003c\/p\u003e \u003cp\u003e2.12 Distribution Functions of the Instantaneous Characteristics.\u003c\/p\u003e \u003cp\u003e2.13 Signal Bandwidth.\u003c\/p\u003e \u003cp\u003e2.14 Instantaneous Frequency Distribution and Negative Values.\u003c\/p\u003e \u003cp\u003e2.15 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 SIGNAL DEMODULATION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Envelope and Instantaneous Frequency Extraction.\u003c\/p\u003e \u003cp\u003e3.2 Hilbert Transform and Synchronous Detection.\u003c\/p\u003e \u003cp\u003e3.3 Digital Hilbert Transformers.\u003c\/p\u003e \u003cp\u003e3.4 Instantaneous Characteristics Distortions.\u003c\/p\u003e \u003cp\u003e3.5 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II. HILBERT TRANSFORM AND VIBRATION SIGNALS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 TYPICAL EXAMPLES AND DESCRIPTION OF VIBRATION DATA.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Random Signal.\u003c\/p\u003e \u003cp\u003e4.2 Decay Vibration Waveform.\u003c\/p\u003e \u003cp\u003e4.3 Slow Linear Sweeping Frequency Signal.\u003c\/p\u003e \u003cp\u003e4.4 Harmonic Frequency Modulation.\u003c\/p\u003e \u003cp\u003e4.5 Harmonic Amplitude Modulation.\u003c\/p\u003e \u003cp\u003e4.6 Product of Two Harmonics.\u003c\/p\u003e \u003cp\u003e4.7 Single Harmonic with DC Offset.\u003c\/p\u003e \u003cp\u003e4.8 Composition of Two Harmonics.\u003c\/p\u003e \u003cp\u003e4.9 Derivative and Integral of the Analytic Signal.\u003c\/p\u003e \u003cp\u003e4.10 Signal Level.\u003c\/p\u003e \u003cp\u003e4.11 Frequency Contents.\u003c\/p\u003e \u003cp\u003e4.12 Narrowband and Wideband Signal.\u003c\/p\u003e \u003cp\u003e4.13 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 ACTUAL SIGNAL CONTENTS\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e5.1 Monocomponent Signal.\u003c\/p\u003e \u003cp\u003e5.2 Multicomponent Signal.\u003c\/p\u003e \u003cp\u003e5.3 Types of multicomponent signals.\u003c\/p\u003e \u003cp\u003e5.4 Averaging Envelope and Instantaneous Frequency.\u003c\/p\u003e \u003cp\u003e5.5 Smoothing and Approximation of the Instantaneous Frequency.\u003c\/p\u003e \u003cp\u003e5.6 Congruent Envelope.\u003c\/p\u003e \u003cp\u003e5.7 Congruent Instantaneous Frequency.\u003c\/p\u003e \u003cp\u003e5.8 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 LOCAL AND GLOBAL VIBRATION DECOMPOSITIONS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Empirical Mode Decomposition.\u003c\/p\u003e \u003cp\u003e6.2 Analytical Basics of the EMD.\u003c\/p\u003e \u003cp\u003e6.3 Global Hilbert Vibration Decomposition.\u003c\/p\u003e \u003cp\u003e6.4 Instantaneous Frequency of the Largest Energy Component.\u003c\/p\u003e \u003cp\u003e6.5 Envelope of the Largest Energy Component.\u003c\/p\u003e \u003cp\u003e6.6 Subtraction of the Synchronous Largest Component.\u003c\/p\u003e \u003cp\u003e6.7 Hilbert Vibration Decomposition Scheme.\u003c\/p\u003e \u003cp\u003e6.8 Examples of Hilbert Vibration Decomposition.\u003c\/p\u003e \u003cp\u003e6.9 Comparison of the Hilbert Transform Decomposition Methods.\u003c\/p\u003e \u003cp\u003e6.10 Common Properties of the Hilbert Transform Decompositions.\u003c\/p\u003e \u003cp\u003e6.11 The Differences between the Hilbert Transform Decompositions.\u003c\/p\u003e \u003cp\u003e6.12 Amplitude-Frequency Resolution of HT Decompositions.\u003c\/p\u003e \u003cp\u003e6.13 Limiting Number of Valued Oscillating Components.\u003c\/p\u003e \u003cp\u003e6.14 Decompositions of Typical Non-stationary Vibration Signals.\u003c\/p\u003e \u003cp\u003e6.15 Main Results and Recommendations.\u003c\/p\u003e \u003cp\u003e6.16 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 SIGNAL ANALYSIS PRACTICE EXPERIENCE AND INDUSTRIAL APPLICATION\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e7.1 Structural Health Monitoring.\u003c\/p\u003e \u003cp\u003e7.2 Standing and Traveling Wave Separation.\u003c\/p\u003e \u003cp\u003e7.3 Echo Signal Estimation.\u003c\/p\u003e \u003cp\u003e7.4 Synchronization Description.\u003c\/p\u003e \u003cp\u003e7.5 Fatigue Estimation.\u003c\/p\u003e \u003cp\u003e7.6 Multichannel Vibration Generation.\u003c\/p\u003e \u003cp\u003e7.7 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III. HILBERT TRANSFORM AND VIBRATION SYSTEMS\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 VIBRATION SYSTEM CHARACTERISTICS\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e8.1 Kramers-Kronig Relations.\u003c\/p\u003e \u003cp\u003e8.2 Detection of Nonlinearities in Frequency Domain.\u003c\/p\u003e \u003cp\u003e8.3 Typical Nonlinear Elasticity Characteristics.\u003c\/p\u003e \u003cp\u003e8.4 Phase Plane Representation of Elastic Nonlinearities in Vibration Systems.\u003c\/p\u003e \u003cp\u003e8.5 Complex Plane Representation.\u003c\/p\u003e \u003cp\u003e8.6 Approximate Primary Solution of a Conservative Nonlinear System.\u003c\/p\u003e \u003cp\u003e8.7 Hilbert Transform and Hysteretic Damping.\u003c\/p\u003e \u003cp\u003e8.8 Nonlinear Damping Characteristics in SDOF Vibration System.\u003c\/p\u003e \u003cp\u003e8.9 Typical Nonlinear Damping in Vibration System.\u003c\/p\u003e \u003cp\u003e8.10 Velocity-Dependent Nonlinear Damping.\u003c\/p\u003e \u003cp\u003e8.11 Velocity-Independent Damping.\u003c\/p\u003e \u003cp\u003e8.12 Combination of Different Damping Elements.\u003c\/p\u003e \u003cp\u003e8.13 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 IDENTIFICATION OF THE PRIMARY SOLUTION\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e9.1 Theoretical Bases of the Hilbert Transform System Identification.\u003c\/p\u003e \u003cp\u003e9.2 Free Vibration Modal Characteristics.\u003c\/p\u003e \u003cp\u003e9.3 Forced Vibration Modal Characteristics.\u003c\/p\u003e \u003cp\u003e9.4 BackBone (Skeleton Curve).\u003c\/p\u003e \u003cp\u003e9.5 Damping Curve.\u003c\/p\u003e \u003cp\u003e9.6 Frequency Response.\u003c\/p\u003e \u003cp\u003e9.7 Force Static Characteristics.\u003c\/p\u003e \u003cp\u003e9.8 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 THE FREEVIB and FORCEVIB METHODS\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e10.1 FREEVIB Identification Examples.\u003c\/p\u003e \u003cp\u003e10.2 FORCEVIB Identification Examples.\u003c\/p\u003e \u003cp\u003e10.3 System Identification with Biharmonic Excitation.\u003c\/p\u003e \u003cp\u003e10.4 Identification of Nonlinear Time-Varying System.\u003c\/p\u003e \u003cp\u003e10.5 Experimental Identification of Nonlinear Vibration System.\u003c\/p\u003e \u003cp\u003e10.6 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 CONSIDERING HIGH ORDER SUPERHARMONICS. IDENTIFICATION OF ASYMMETRIC AND MDOF SYSTEMS\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e11.1 Description of the Precise Method Scheme.\u003c\/p\u003e \u003cp\u003e11.2 Identification of the Instantaneous Modal Parameters.\u003c\/p\u003e \u003cp\u003e11.3 Congruent Modal Parameters.\u003c\/p\u003e \u003cp\u003e11.4 Congruent Nonlinear Elastic and Damping Forces.\u003c\/p\u003e \u003cp\u003e11.5 Examples of Precise Free Vibration Identification.\u003c\/p\u003e \u003cp\u003e11.6 Forced Vibration Identification Considering High-Order Superharmonics.\u003c\/p\u003e \u003cp\u003e11.7 Identification of Asymmetric Nonlinear System.\u003c\/p\u003e \u003cp\u003e11.8 Experimental Identification of a Crack.\u003c\/p\u003e \u003cp\u003e11.9 Identification of MDOF Vibration System.\u003c\/p\u003e \u003cp\u003e11.10 Identification of Weakly Nonlinear Coupled Oscillators.\u003c\/p\u003e \u003cp\u003e11.11 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 SYSTEM ANALYSIS PRACTICE EXPERIENCE AND INDUSTRIAL APPLICATION\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e12.1 Non-parametric Identification of Nonlinear Mechanical Vibration Systems.\u003c\/p\u003e \u003cp\u003e12.2 Parametric Identification of Nonlinear Mechanical Vibrating Systems.\u003c\/p\u003e \u003cp\u003e12.3 Structural Health Monitoring and Damage Detection.\u003c\/p\u003e \u003cp\u003e12.4 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eReferences.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e \u003cb\u003eMichael Feldman, Technion, Israel\u003c\/b\u003e\u003cbr\u003eMichael Feldman is Computer System Engineer and Adjunct Senior Lecturer in the Faculty of Mechanical Engineering, Technion. His research focuses on signal processing, vibration engineering; analysis of dynamic signals and mechanical systems, modal testing and monitoring and diagnostics of machines. He is a past editor of the \u003ci\u003eJournal Mechanical Systems and Signal Processing\u003c\/i\u003e and has authored two books in Russian as well as contributions to the \u003ci\u003eEncyclopedia of Structural Health Monitoring\u003c\/i\u003e (Wiley, 2009) and \u003ci\u003eEncyclopedia of Vibration\u003c\/i\u003e (Academic Press, 2001).  \u003cb\u003eHilbert Transform Applications in Mechanical Vibration\u003cbr\u003e \u003c\/b\u003eMichael Feldman, \u003ci\u003eTechnion - Israel\u003c\/i\u003e \u003ci\u003eInstitute of Technology\u003c\/i\u003e  \u003cp\u003e\u003ci\u003eHilbert Transform Applications in Mechanical Vibration\u003c\/i\u003e addresses recent advances in theory and applications of the Hilbert transform to vibration engineering, enabling laboratory dynamic tests to be performed more rapidly and accurately. The author integrates important pioneering developments in signal processing and mathematical models with typical properties of mechanical dynamic constructions such as resonance, nonlinear stiffness and damping. A comprehensive account of the main applications is provided, covering dynamic testing and the extraction of the modal parameters of nonlinear vibration systems, including the initial elastic and damping force characteristics. This unique merger of technical properties and digital signal processing allows the instant solution of a variety of engineering problems and the in-depth exploration of the physics of vibration by analysis, identification and simulation.\u003c\/p\u003e \u003cp\u003eThis book will appeal to both professionals and students working in mechanical, aerospace, and civil engineering, as well as naval architecture, biomechanics, robotics, and mechatronics.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eHilbert Transform Applications in Mechanical Vibration\u003c\/i\u003e employs modern applications of the Hilbert transform time domain methods including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cdiv\u003eThe Hilbert Vibration Decomposition method for adaptive separation of a multi-component non-stationary vibration signal into simple quasi-harmonic components; this method is characterized by high frequency resolution, which provides a comprehensive account of the case of amplitude and frequency modulated vibration analysis.\u003c\/div\u003e \u003c\/li\u003e \u003cli\u003e \u003cdiv\u003eThe FREEVIB and FORCEVIB main applications, covering dynamic testing and extraction of the modal parameters of nonlinear vibration systems including the initial elastic and damping force characteristics under free and forced vibration regimes. Identification methods contribute to efficient and accurate testing of vibration systems, avoiding effort-consuming measurement and analysis.\u003c\/div\u003e \u003c\/li\u003e \u003cli\u003e \u003cdiv\u003ePrecise identification of nonlinear and asymmetric systems considering high frequency harmonics on the base of the congruent envelope and congruent frequency.\u003c\/div\u003e \u003c\/li\u003e \u003cli\u003e \u003cdiv\u003eCompanion website houses MATLAB®\/ SIMULINK codes.\u003c\/div\u003e \u003c\/li\u003e \u003c\/ul\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989364064485,"sku":"NP9780470978276","price":149.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470978276.jpg?v=1761783825","url":"https:\/\/k12savings.com\/products\/hilbert-transform-applications-in-mechanical-vibration-isbn-9780470978276","provider":"K12savings","version":"1.0","type":"link"}