Multi-sensor data fusion for improved measurement accuracy in injection molding

Zhaoyan Fan, Robert X. Gao, Peng Wang, David O. Kazmer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Data fusion enables the integration of multiple sensing data associated with the same physical process for more comprehensive process representation, thereby improving quality control in manufacturing. Based on a correlation analysis of measurement data, the effectiveness of data fusion has been investigated, using precision injection moulding as an application context and the predicted weight of moulded parts as a criterion. The study systematically explains why a multivariate sensor that quantifies four parameters at the same sensor location has consistently outperformed multiple single-parameter commercial sensors under various operation conditions, thereby contributing to the theory of data fusion for measurement enhancement.

Original languageEnglish
Title of host publicationI2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference
Subtitle of host publicationMeasuring the Pulse of Industries, Nature and Humans, Proceedings
ISBN (Electronic)9781467392204
DOIs
StatePublished - Jul 22 2016
Event2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016 - Taipei, Taiwan, Province of China
Duration: May 23 2016May 26 2016

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
Volume2016-July
ISSN (Print)1091-5281

Conference

Conference2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016
Country/TerritoryTaiwan, Province of China
CityTaipei
Period5/23/165/26/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Accuracy
  • Data Fusion
  • Measurement

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Multi-sensor data fusion for improved measurement accuracy in injection molding'. Together they form a unique fingerprint.

Cite this