Wavelets: Theory and Applications for Manufacturing
Autor Robert X Gao, Ruqiang Yanen Limba Engleză Paperback – sep 2014
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Specificații
ISBN-13: 9781489982018
ISBN-10: 1489982019
Pagini: 240
Ilustrații: XIV, 224 p.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.34 kg
Ediția:2011
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1489982019
Pagini: 240
Ilustrații: XIV, 224 p.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.34 kg
Ediția:2011
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Why wavelets.- From fourier transform to wavelet transform.- Wavelet integrated with fourier transform: a spectral post-processing technique.- Wavelet-based multi-sensor data fusion.- Integration of wavelet with fuzzy logic for machine defect severity classification.- Wavelet-based multi-fractal singularity spectrum.- Wavelet-based ultrasonic pulse detection and differentiation.- Wavelet-based multi-scale enveloping spectrogram.- Wavelet packet decomposition for cross-term interference suppression in wigner-ville distribution.- Optimal wavelet packet transform for discriminable feature extraction.- Wavelet selection criteria.- Customized wavelet design.
Recenzii
From the reviews:
“The book presents the theory and practice of wavelets and shows applicability of the wavelet transform to solve the problems typically encountered in various fields of engineering. … The book can be recommended for both researches and practitioners working in the field of manufacturing.” (Zygmunt Hasiewicz, Zentralblatt MATH, Vol. 1227, 2012)
“The book presents the theory and practice of wavelets and shows applicability of the wavelet transform to solve the problems typically encountered in various fields of engineering. … The book can be recommended for both researches and practitioners working in the field of manufacturing.” (Zygmunt Hasiewicz, Zentralblatt MATH, Vol. 1227, 2012)
Textul de pe ultima copertă
Wavelets: Theory and Applications for Manufacturing presents a systematic yet easily accessible description of the fundamentals of wavelet transform and its applications in manufacturing. Given the widespread utilization of machine tools in modern manufacturing and the increasing need for minimizing unexpected machine down-time to ensure reliable, economical, and high quality production, it is of critical importance to continually advance the science base for machine condition monitoring, fault diagnosis, and remaining service life prognosis. The adaptive, multi-resolution capability of the wavelet transform has made it a powerful mathematical tool for accomplishing such goals. In addition, this volume also:•Provides a historical overview of the evolution of signal processing techniques, from the Fourier transform to wavelet transform•Introduces the fundamental mathematics for understanding what wavelet transform is and does, and how to apply it to problems typically encountered in manufacturing•Discusses the integration of wavelet transforms with other techniques, such as signal enveloping and neural networks, for enhanced machine defect detection and severity classification•Demonstrates how to select an appropriate base wavelet or custom design a wavelet for optimal performance in signal analysisFocusing on wavelet transform as a tool specifically applied to and designed for manufacturing, Wavelets: Theory and Applications for Manufacturing presents material appropriate for both academic researchers and practicing engineers working in the field of manufacturing.
Caracteristici
Provides a comprehensive survey on wavelets specifically related to problems encountered in manufacturing Covers the similarities and differences between wavelet transform and other analytical techniques commonly used on the factory floor for signal processing Discusses the integration of wavelet transforms with other soft computing techniques such as fuzzy logic, for machine defect and severity classification Shows how to custom design wavelets for improved performance in signal analysis Includes supplementary material: sn.pub/extras