03595nam 2200601 450 991080831480332120200520144314.01-78242-166-11-78242-165-3(CKB)3710000000316669(EBL)1934470(SSID)ssj0001435400(PQKBManifestationID)11800078(PQKBTitleCode)TC0001435400(PQKBWorkID)11433795(PQKB)10680107(Au-PeEL)EBL1934470(CaPaEBR)ebr10996818(CaONFJC)MIL785132(OCoLC)902956988(MiAaPQ)EBC1934470(EXLCZ)99371000000031666920150107h20142014 uy 0engur|n|---|||||txtccrParameter identification and monitoring of mechanical systems under nonlinear vibration /Juan Carlos JaureguiCambridge, England :Woodhead Publishing,2014.©20141 online resource (227 p.)Woodhead Publishing in Mechanical EngineeringDescription based upon print version of record.0-08-101537-2 Includes bibliographical references and index.Cover; Parameter Identification and Monitoring of Mechanical Systems under Nonlinear Vibration; Copyright; Dedication; Table of contents; List of figures; About the author; Introduction; 1 Linear vibrations; 1.1 Introduction; 1.2 Single degree of freedom; 1.3 Multiple degrees of freedom; 2 Nonlinear vibrations; 2.1 Introduction; 2.2 Jump phenomena; 2.3 Self-excited vibrations; 2.4 References; 3 Signal processing; 3.1 Introduction; 3.2 Convolution theorem; 3.3 Fourier Transform; 3.4 Short Time Fourier Transform (STFT); 3.5 Wavelet Transform; 3.6 Discrete Wavelet Transform; 3.7 Phase diagram3.8 Approximate entropy3.9 References; 4 Parameter identification; 4.1 Introduction; 4.2 Time domain analysis; 4.3 Frequency domain analysis; 5 Application of signal processing to mechanical systems; 5.1 Introduction; 5.2 Roller bearings; 5.3 Gears; 5.4 Friction; 6 Practical experience and industrial applications; 6.1 Introduction; 6.2 Test procedure; 6.3 Simulation analysis; 7 Synchronization of nonlinear systems; 7.1 Introduction; 7.2 Synchronization; 7.3 Kuramoto's model; 7.4 Synchronization of nonlinear pendulums; Bibliography; IndexDevelopment of new sensors and digital processors has provided opportunity for identification of nonlinear systems. Vibration measurements have become standard for predicting and monitoring machinery in industry. Parameter Identification and Monitoring of Mechanical Systems under Nonlinear Vibration focusses on methods for the identification of nonlinearities in mechanical systems, giving description and examples of practical application. Chapters cover nonlinear dynamics; nonlinear vibrations; signal processing; parameter identification; application of signal processing to mechanical systems;Woodhead Publishing in mechanical engineering.VibrationMeasurementVibrationResearchVibrationMeasurement.VibrationResearch.620.3Jauregui Juan Carlos1677547MiAaPQMiAaPQMiAaPQBOOK9910808314803321Parameter identification and monitoring of mechanical systems under nonlinear vibration4044523UNINA