Study of Gear Surface Texture Using Mallat's Scattering Transform
| العنوان: | Study of Gear Surface Texture Using Mallat's Scattering Transform |
|---|---|
| المؤلفون: | Sun, W, Chretien, Stephane, Hornby, R, Cooper, P, Frazer, R, Zhang, J |
| المساهمون: | National Physical Laboratory [Teddington] (NPL), Chretien, Stephane |
| المصدر: | International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing (AMTCM 2017) International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing (AMTCM 2017), Aug 2017, Strathclyde, United Kingdom |
| بيانات النشر: | HAL CCSD, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | Scattering transform, Gaussian Mixture Models, Surface metrology, [STAT.CO]Statistics [stat]/Computation [stat.CO], [STAT.CO] Statistics [stat]/Computation [stat.CO] |
| الوصف: | International audience; Gears are machine elements that transmit rotary motion and power by the successive engagements of teeth on their periphery 1. Gears commonly in use include: spur gears; bevel gears; helical gears; internal gears and worm gears. They are widely used in automotive, aerospace, power generation and even medical applications. The manufacturing process of metal gears usually involves cutting, hobbing, shaving, milling, grinding and honing 2. Although gears have been used for many years in industry, the evaluation of their surface texture and the relationship between surface parameters and surface function-ality are not well understood. Conventional profile measurements and surface roughness parameters, such as Ra and Rq, are still predominantly used in the industry. However, increasing investigations show that 2D profile measurements and data analyses cannot represent the surface condition due to non-uniformity of measured surfaces. In this study, we use a new mathematical tool for the characterisation of the surface irregularities, namely the scattering transform, recently introduced by S. Mallat 3. This new transform is almost invariant to group actions such as rotation and translation of the image and has been successfully applied to machine learning problems such as classification. This approach is applied to the characterisation of gear surfaces. Results obtained on areal surface data based measurements from focus variation instruments and conventional tactile CMM are presented and discussed. ] |
| وصف الملف: | application/pdf |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::28043a70bc1a27b40660cee234f2e8e7 https://hal.archives-ouvertes.fr/hal-01790302/file/UQ_via_Sparse_Expansions___AMCTMT2017Strathclyde.pdf |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.dedup.wf.001..28043a70bc1a27b40660cee234f2e8e7 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |