On Machine Measurement of Probe Error Research Based on Bayesian Network

DOI

10.2991/icmit-16.2016.78How to use a DOI?

Keywords

Bayesian network, speed parameter, probe error, model

Abstract

Probe calibration is carried out under specific conditions; most of the error caused by the change of speed parameter has not been corrected, In order to reduce the measuring error influence on measurement accuracy, analyze the relationship between speed parameter and probe error, and using Bayesian network to establish the model of probe error. Model takes account of prior knowledge and sample data, with the updating of data, which can reflect the change of the errors of the probe and constantly revised modeling results.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liwen Yan
AU  - Yan Yan
AU  - Huaiqiang Wu
PY  - 2016/04
DA  - 2016/04
TI  - On Machine Measurement of Probe Error Research Based on Bayesian Network
BT  - Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology
PB  - Atlantis Press
SP  - 435
EP  - 438
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmit-16.2016.78
DO  - 10.2991/icmit-16.2016.78
ID  - Yan2016/04
ER  -