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NCUEIR > College of Technology > vr > Periodical Articles > Item 987654321/18342

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/18342

Title:	Design of an Adaptive Line Enhancement System Using a Variable Step-size Affine-Projection Algorithm
Authors:	Wu, Jian-Da;Hung, Ran-Jen
Contributors:	車輛科技研究所
Keywords:	Adaptive line enhancement;Fault diagnosis;Affine-projection algorithm
Date:	2005-07
Issue Date:	2014-04-29T07:27:27Z
Publisher:	Elsevier Ltd
Abstract:	This paper presents design of an adaptive line enhancement (ALE) system for improving sensor response using a variable step-size affine-projection algorithm (VSS APA). ALE is an adaptive technique that may be used to detect a periodic signal buried in a broadband noise background such as in rotating machinery fault diagnosis. However, most of the conventional methods for ALE system are based primarily on an adaptive filter with the least-mean-square (LMS) error algorithm. Unfortunately, convergence speed is limited when a filtering plant is varied, because the learning process of the adaptive algorithm fails to respond quickly enough to the changing operational conditions. This study proposed a VSS APA for improving both the convergence speed and the performance of the ALE system. Two applications were conducted to compare the performance of the proposed algorithm and various traditional adaptive filtering algorithms. The first application used the proposed ALE system to improve the response of a wheel speed sensor output signal; the other was used for reducing the background noise during rotating machinery fault diagnosis. Both the experimental results indicated that the ALE with VSS APA has an effective performance and convergence for both applications.
Relation:	NDT & E International, 38(5): 387-393
Appears in Collections:	[vr] Periodical Articles

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