Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines
In surface roughness measurements, the presence of spikes in the primary profile can disable a normal filter from extracting the shape and waviness components. The robust spline filter (RSF) has been proposed to solve this problem. However, because ISO 16610-32, an RSF standard, has a significant de...
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MDPI AG
2023-03-01
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Online Access: | https://www.mdpi.com/2076-3417/13/6/3390 |
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author | Yuki Kondo Ichiro Yoshida Munetoshi Numada Hiroyasu Koshimizu Ryo Saito Kaito Fujiyoshi |
author_facet | Yuki Kondo Ichiro Yoshida Munetoshi Numada Hiroyasu Koshimizu Ryo Saito Kaito Fujiyoshi |
author_sort | Yuki Kondo |
collection | DOAJ |
description | In surface roughness measurements, the presence of spikes in the primary profile can disable a normal filter from extracting the shape and waviness components. The robust spline filter (RSF) has been proposed to solve this problem. However, because ISO 16610-32, an RSF standard, has a significant deficiency, it was withdrawn in the Technical Specifications stage. The other proposed RSFs only show the method and a few examples with normal roughness and spike. Therefore, because the characteristics of each RSF have not been clarified, which RSF should be used for which primary profiles is not clear. This is one of the reasons for the delay in establishing ISO. In addition, the measurement sites need the establishment of robust spline filter selection guidelines. Therefore, in this paper, the characteristics of RSFs are clarified. Additionally, the points to be considered in using RSFs are summarized. Finally, the filter that should be selected for the specific application is identified. These results are expected to contribute to the widespread use of RSFs in the industrial world, avoid confusion at the measurement site, and help establish a new RSF standard. |
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language | English |
last_indexed | 2024-03-11T06:59:29Z |
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spelling | doaj.art-5ca6347c322a4466b9e865ddd4519bf62023-11-17T09:21:00ZengMDPI AGApplied Sciences2076-34172023-03-01136339010.3390/app13063390Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection GuidelinesYuki Kondo0Ichiro Yoshida1Munetoshi Numada2Hiroyasu Koshimizu3Ryo Saito4Kaito Fujiyoshi5Faculty of Engineering, Daiichi Institute of Technology, Kagoshima 8994395, JapanFaculty of Engineering, HOSEI University, Tokyo 1848584, JapanFaculty of Science and Engineering, Chukyo University, Aichi 4660825, JapanFaculty of Science and Engineering, Chukyo University, Aichi 4660825, JapanFaculty of Engineering, HOSEI University, Tokyo 1848584, JapanFaculty of Engineering, HOSEI University, Tokyo 1848584, JapanIn surface roughness measurements, the presence of spikes in the primary profile can disable a normal filter from extracting the shape and waviness components. The robust spline filter (RSF) has been proposed to solve this problem. However, because ISO 16610-32, an RSF standard, has a significant deficiency, it was withdrawn in the Technical Specifications stage. The other proposed RSFs only show the method and a few examples with normal roughness and spike. Therefore, because the characteristics of each RSF have not been clarified, which RSF should be used for which primary profiles is not clear. This is one of the reasons for the delay in establishing ISO. In addition, the measurement sites need the establishment of robust spline filter selection guidelines. Therefore, in this paper, the characteristics of RSFs are clarified. Additionally, the points to be considered in using RSFs are summarized. Finally, the filter that should be selected for the specific application is identified. These results are expected to contribute to the widespread use of RSFs in the industrial world, avoid confusion at the measurement site, and help establish a new RSF standard.https://www.mdpi.com/2076-3417/13/6/3390surface roughnesslow-pass filteroutlierrobust spline filter |
spellingShingle | Yuki Kondo Ichiro Yoshida Munetoshi Numada Hiroyasu Koshimizu Ryo Saito Kaito Fujiyoshi Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines Applied Sciences surface roughness low-pass filter outlier robust spline filter |
title | Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines |
title_full | Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines |
title_fullStr | Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines |
title_full_unstemmed | Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines |
title_short | Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines |
title_sort | verification of characteristics of spline filter series robust filters for surface roughness and proposal of filter selection guidelines |
topic | surface roughness low-pass filter outlier robust spline filter |
url | https://www.mdpi.com/2076-3417/13/6/3390 |
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