Surface characteristic profile extraction based on Hilbert-Huang transform

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• 作者：Chunlin Xia ; Yangfang Wu ; Qianqian Lu ; Bingfeng Ju
• 关键词：Engineering surface profile ; Hilbert&ndash ; Huang transform (HHT) ; Decomposition ; Extraction
• 刊名：Measurement
• 出版年：January, 2014
• 年：2014
• 卷：47
• 期：Complete
• 页码：306-313
• 全文大小：1352 K

文摘

Engineering surfaces consist of a wide range of spatial frequencies. Prior to numerical characterization, the decomposition and filtration of the data measured for such surfaces should be performed. This paper introduces a new technique for the extraction of different frequency components of surfaces of interest by applying the Hilbert-Huang transform. The main features of the Hilbert-Huang transform are its adaptive signal decomposition and time/space domain filtering. The data measured in two cases, a runout measurement for a turning pulley and ground surface profile scanning, respectively, were analyzed using the Hilbert-Huang transform, and some results are compared with those obtained using robust zero-order Gaussian regression filters. The analysis process and results show that the new technique proposed is useful and complementary to other existing techniques.