基于混沌和小波的故障信息診斷

內(nèi)容概要

　　《基于混沌和小波的故障信息診斷》不擬追求故障信息診斷理論方法的全面性，而是重點論述以混沌理論和多分辨分析理論為基礎(chǔ)的強干擾背景的故障信息診斷新理論、新方法、新經(jīng)驗。近年來混沌工程學成為工程領(lǐng)域廣泛關(guān)注的課題，但混沌理論在故障診斷中的應(yīng)用研究還只是剛剛起步。此外，近年來出現(xiàn)的小波理論，以其特有的優(yōu)勢成了故障診斷領(lǐng)域的另一個熱門話題，但是由于其概念體系的數(shù)學抽象性，限制了它的工程應(yīng)用。《基于混沌和小波的故障信息診斷》在系統(tǒng)深入的理論依據(jù)基礎(chǔ)上，提出了利用混沌振子的間歇混沌現(xiàn)象進行強噪聲背景微弱信號檢測的方法，并將其應(yīng)用到強干擾背景下的故障信息診斷中。

書籍目錄

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

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