LEADER 03595nam 2200601 450 001 9910808314803321 005 20200520144314.0 010 $a1-78242-166-1 010 $a1-78242-165-3 035 $a(CKB)3710000000316669 035 $a(EBL)1934470 035 $a(SSID)ssj0001435400 035 $a(PQKBManifestationID)11800078 035 $a(PQKBTitleCode)TC0001435400 035 $a(PQKBWorkID)11433795 035 $a(PQKB)10680107 035 $a(Au-PeEL)EBL1934470 035 $a(CaPaEBR)ebr10996818 035 $a(CaONFJC)MIL785132 035 $a(OCoLC)902956988 035 $a(MiAaPQ)EBC1934470 035 $a(EXLCZ)993710000000316669 100 $a20150107h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aParameter identification and monitoring of mechanical systems under nonlinear vibration /$fJuan Carlos Jauregui 210 1$aCambridge, England :$cWoodhead Publishing,$d2014. 210 4$dİ2014 215 $a1 online resource (227 p.) 225 1 $aWoodhead Publishing in Mechanical Engineering 300 $aDescription based upon print version of record. 311 $a0-08-101537-2 320 $aIncludes bibliographical references and index. 327 $aCover; 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 diagram 327 $a3.8 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; Index 330 $aDevelopment of new sensors and digital processors has provided opportunity for identification of nonlinear systems. Vibration measurements have become standard for predicting and monitoring machinery in industry. Parameter Identification and Monitoring of Mechanical Systems under Nonlinear Vibration focusses on methods for the identification of nonlinearities in mechanical systems, giving description and examples of practical application. Chapters cover nonlinear dynamics; nonlinear vibrations; signal processing; parameter identification; application of signal processing to mechanical systems; 410 0$aWoodhead Publishing in mechanical engineering. 606 $aVibration$xMeasurement 606 $aVibration$xResearch 615 0$aVibration$xMeasurement. 615 0$aVibration$xResearch. 676 $a620.3 700 $aJauregui$b Juan Carlos$01677547 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910808314803321 996 $aParameter identification and monitoring of mechanical systems under nonlinear vibration$94044523 997 $aUNINA