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 language | English |
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| Title of host publication | I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference |
| Subtitle of host publication | Measuring the Pulse of Industries, Nature and Humans, Proceedings |
| ISBN (Electronic) | 9781467392204 |
| DOIs | |
| State | Published - Jul 22 2016 |
| Event | 2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016 - Taipei, Taiwan, Province of China Duration: May 23 2016 → May 26 2016 |
Publication series
| Name | Conference Record - IEEE Instrumentation and Measurement Technology Conference |
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| Volume | 2016-July |
| ISSN (Print) | 1091-5281 |
Conference
| Conference | 2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016 |
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| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 5/23/16 → 5/26/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Funding
This work was sponsored by the National Science Foundation under CMMI-1000816/1000551
| Funders | Funder number |
|---|---|
| National Science Foundation (NSF) | CMMI-1000816/1000551 |
Keywords
- Accuracy
- Data Fusion
- Measurement
ASJC Scopus subject areas
- Electrical and Electronic Engineering