A Mathematical Transform to Analyze Part Surface Quality in Manufacturing-Reference-Cited by-同舟云学术

A Mathematical Transform to Analyze Part Surface Quality in Manufacturing

Published:1999-08-01 Issue:1 Volume:122 Page:273-279
ISSN:1087-1357
Container-title:Journal of Manufacturing Science and Engineering
language:en
Short-container-title:

Author:

Tumer Irem Y.¹,Wood Kristin L.²,Busch-Vishniac Ilene J.³

Affiliation:

1. Computational Sciences, NASA Ames Research Center, Moffett Field, CA 94035-1000

2. Mechanical Engineering, The University of Texas, Austin, TX 78712-1063

3. Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21218

Abstract

The status of fault patterns on part surfaces can provide valuable information about the condition of a manufacturing system. Accurate detection of the part surface condition in manufacturing ensures the fault-free manufacturing of high-quality parts, as well as helping in the accurate design/redesign of machine components and manufacturing parameters. To address this problem, we introduce an alternative mathematical transform that has the potential to detect faults in manufacturing machines by decomposing signals into individual components. Specifically, the paper focuses on the decomposition of numerically generated data using the Karhunen-Loe`ve transform to study a variety of signals from manufacturing. The potential utility of the proposed technique is then discussed in the context of understanding a manufacturing process under constant development. [S1087-1357(00)01801-3]

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Link

http://asmedigitalcollection.asme.org/manufacturingscience/article-pdf/122/1/273/5811947/273_1.pdf

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