Statistical shape analysis of manufacturing data

Enrique Del Castillo

doi:10.1007/978-1-84996-311-4_7

Statistical shape analysis of manufacturing data

Enrique Del Castillo

Research output: Chapter in Book/Report/Conference proceeding › Chapter

11 Scopus citations

Abstract

We show how statistical shape analysis, a set of techniques used to model the shapes of biological and other kinds of objects in the natural sciences, can also be used to model the geometric shape of a manufactured part. We review Procrustes-based methods, and emphasize possible solutions to the basic problem of having corresponding, or matching, labels in the measured landmarks, the locations of the measured points on each part acquired with a coordinate measuring machine or similar instrument.

Original language	English (US)
Title of host publication	Geometric Tolerances
Subtitle of host publication	Impact on Product Design, Quality Inspection and Statistical Process Monitoring
Publisher	Springer London
Pages	215-234
Number of pages	20
ISBN (Print)	9781849963107
DOIs	https://doi.org/10.1007/978-1-84996-311-4_7
State	Published - 2010

All Science Journal Classification (ASJC) codes

General Engineering

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10.1007/978-1-84996-311-4_7

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title = "Statistical shape analysis of manufacturing data",

abstract = "We show how statistical shape analysis, a set of techniques used to model the shapes of biological and other kinds of objects in the natural sciences, can also be used to model the geometric shape of a manufactured part. We review Procrustes-based methods, and emphasize possible solutions to the basic problem of having corresponding, or matching, labels in the measured landmarks, the locations of the measured points on each part acquired with a coordinate measuring machine or similar instrument.",

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AB - We show how statistical shape analysis, a set of techniques used to model the shapes of biological and other kinds of objects in the natural sciences, can also be used to model the geometric shape of a manufactured part. We review Procrustes-based methods, and emphasize possible solutions to the basic problem of having corresponding, or matching, labels in the measured landmarks, the locations of the measured points on each part acquired with a coordinate measuring machine or similar instrument.

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ER -

Statistical shape analysis of manufacturing data

Abstract

All Science Journal Classification (ASJC) codes

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