Analysis of the manufacturing signature using data mining
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- 作者：R.J. Mason ; richard.mason@the-mtc.org" class="auth_mail" title="E-mail the corresponding author ; M. Mostafizur Rahman ; T.M.M. Maw
- 关键词：Data mining ; Unsupervised learning ; Form error ; Manufacturing signature ; Machining ; Fourier series ; Forsythe polynomials ; Legendre polynomials ; Orthogonal transformation
- 刊名：Precision Engineering
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：47
- 期：Complete
- 页码：292-302
- 全文大小：4040 K
文摘
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A novel orthonormal description of point clouds relating to cylindrical objects is presented.
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A new measurement strategy based on Gauss-Legendre points is identified for components with (relatively low order) polynomial distortions.
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Data mining is investigated for manufacturing data relating to the quality of final components.