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内容简介
本书论述机械设备非平稳信号的产生和特点,信号正交分解的物理意义及工程背景。介绍提
取故障信息的非平稳信号处理方法—Wigner-Ville 时频分布、短时傅氏变换、小波变换、谐波小
波、Laplace 小波、Hermitian 小波、匹配追踪(matching persuits)等的基本原理和应用。阐明信号
小波变换后的再处理技术—小波包自回归谱分析、小波包分解频带能量监测、小波分形分析、谐
波小波轴心轨迹法、基因小波分析、小波包模糊聚类神经网络,以及实现这些方法和技术的机械
设备在线监测诊断网络系统。列举了这些方法在工矿企业机械设备监测诊断中的应用实例。
本书取材先进,实用性强,可供从事机械设备状态监测与故障诊断、设备管理与维护的广大
科技人员使用和参考,也适合高等院校机械、能源、动力等专业的高年级本科升、研究生的教材
或参考书。
Brief Introduction
This book expounds the emergence and characteristics of non-stationary signals in mechanical
equipment, physical meaning of orthogonal signal position and engineering background. It
contains non-stationary signal processing methods from which the fault information is extracted:
Wigner-Ville time-frequency distribution; Short time Fourier transform: Wavelet transform; Wavelet
packet analysis; Harmonic wavelet; Laplace wavelet; Hermitian wavelet; Matching pursuits etc. and
their basic principles and applications. The illumination of signal reprocessing techniques of wavelet
transform includes the following: Wavelet packets and autoregressive spectrum analysis; Surveillance of
frequency band energy of wavelet packet position; Wavelet fractal analysis; Harmonic wavelet
orbit; ic wavelet analysis; Fuzzy cluster work based on wavelet packets and online
monitoring and work system of mechanical equipment that implement these methods and
techniques. Practical applications of monitoring and diagnosis in industrial enterprises are enumerated.
The contents of the book are substantial and advanced with desirable practicability. It is helpful to
many scientific and technical workers who undertake condition monitoring, fault diagnosis,
management and maintenance for mechanical equipment. It is also a teaching material or reference
book for undergraduates and postgraduates of mechanical manufacture, power and energy engineering
specialties etc. in colleges and universities.
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