基于混沌和小波的故障信息诊断

出版时间：2005-8  出版社：国防工业出版社  作者：姜万录  页数：259  

内容概要

　　《基于混沌和小波的故障信息诊断》不拟追求故障信息诊断理论方法的全面性，而是重点论述以混沌理论和多分辨分析理论为基础的强干扰背景的故障信息诊断新理论、新方法、新经验。近年来混沌工程学成为工程领域广泛关注的课题，但混沌理论在故障诊断中的应用研究还只是刚刚起步。此外，近年来出现的小波理论，以其特有的优势成了故障诊断领域的另一个热门话题，但是由于其概念体系的数学抽象性，限制了它的工程应用。《基于混沌和小波的故障信息诊断》在系统深入的理论依据基础上，提出了利用混沌振子的间歇混沌现象进行强噪声背景微弱信号检测的方法，并将其应用到强干扰背景下的故障信息诊断中。

书籍目录

Chapter 1 Introduction1．1 Fault diagnosis significance of hydraulic system1．2 Current research situations of fault detection and diagnosis technology 0f hydraulic system1．3 Main research contents of this bookChapter 2 Chaotic motion characters and their applications in engineering2．1 Research branches of engineering chaos2．2 Definitions of chaos2．3 Characteristics of chaotic motion2．4 Ways leading to chaosChapter 3 Methods for identifying chaos3．1 Direct observing method of phase traiectoryand time course of state variables3．2 Stroboscopic sampling method3．3 Method of Poincare surface of section3．4 Pseudo phase space method3．5 Method of selGpower density spectrum analysis3．6 Lyapunov exponent analysis method3．7 Fractal dimension analysis methodChapter 4 Periodic orbits of Duffing oscillator4．1 Dufring equations and Melnikov methods4．2 Elliptic functions and elliptic integrals4．3 Conditions of chaos producing in Duffing oscillator4．4 Existence conditions of periodic orbits in Duffing oscillatorChapter 5 Chaotic and intermittent chaotic motion of Duffing oscillator5．1 Numerical experiment research of chaotic motion of Duffing oscillator5．2 Intermittent chaotic motion mechanism of Duffing oscillator5．3 Influences of noise to chaotic motion of Duffing oscillator5．4 Comparison of intermittent chaos-based weak signal detection method with stochastic resonance phenomenon5．5 Scheme of applying Duffirig oscillator to fault diagnosis5．6 Virtual instrument—based weak ultrasonic signal detecting systemChapter 6 Wavelet transform and time．frequency analysis6．1 Review on applications of wavelet analysis in signal processing6．2 Wavelets and wavelet transform6．3 Comparison of Fourier analysis and wavelet analysis6．4 Windowed Fourier transform and time—frequency analysis6．5 Wavelet transform and time-frequency analysisChapter 7　Orthogonal multiresolution analysis and orthogonal wavelet packet analysis for signals7．1 Orthogonal multiresolution analysis and construction of orthogonal wavelets7．2 Orthogonal wavelet packet analysis7．3 Signal decomposition and reconstruction7．4 Characters of chaotic motion signal under orthogonal wavelet packet analysis7．5 Signal singularity detection7．6 Noise elimination in signal based on wavelet transformChapter 8 Chaos and wavelet based fault diagnosis examples8．1 Fault diagnosis for hydraulic pump8．2 Fault diagnosis for sensor8．3 Advantages of theoretical methods advanced in this bookChapter 9 Fault diagnosis system used in mechanical equipments9．1 Structure and Fault analysis of the rolling mill9．2 Hardware design of the diagnosis system9．3 Software design of the diagnosis system9．4 The experiment of the system and the results analysisReferences