Record Nr.

UNINA9910808314803321

Autore

Jauregui Juan Carlos

Titolo

Parameter identification and monitoring of mechanical systems under nonlinear vibration / / Juan Carlos Jauregui

Pubbl/distr/stampa


Cambridge, England : , : Woodhead Publishing, , 2014
©2014

ISBN

1-78242-166-1

1-78242-165-3

Descrizione fisica

1 online resource (227 p.)

Collana

Woodhead Publishing in Mechanical Engineering

Disciplina

620.3

Soggetti

Vibration - Measurement

Vibration - Research

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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 diagram

3.8 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

Sommario/riassunto

Development 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;