Wavelets: Theory and Applications for Manufacturing presents a systematic description of the fundamentals of wavelet transform and its applications. Given the widespread utilization of rotating machines in modern manufacturing and the increasing need for condition-based, as opposed to fix-interval, intelligent maintenance to minimize machine down time and ensure reliable production, it is of critical importance to advance the science base of signal processing in manufacturing. This volume also deals with condition monitoring and health diagnosis of rotating machine components and systems, such as bearings, spindles, and gearboxes, while also: -Providing a comprehensive survey on wavelets specifically related to problems encountered in manufacturing -Discussing the integration of wavelet transforms with other soft computing techniques such as fuzzy logic, for machine defect and severity classification -Showing how to custom design wavelets for improved performance in signal analysis Focusing on wavelet transform as a tool specifically applied and designed for applications in manufacturing, Wavelets: Theory and Applications for Manufacturing presents material appropriate for both academic researchers and practicing engineers working in the field of manufacturing.One of the advantages of wavelet transform for signal analysis is the abundance of the base wavelets developed over the past decades a there are a total of 13 wavelet families documented in the MATLAB library. ... The three rows below illustrate three representative base wavelets and the results of using them to analyze the impulsive signal: (1) Daubechies ... Such an example motives the study of base wavelet selection to achieve optimal result in feature extraction from a signal.
|Author||:||Robert X Gao, Ruqiang Yan|
|Publisher||:||Springer Science & Business Media - 2010-12-07|