Proceedings of the International Conference on Electronics, Mechanics, Culture and Medicine

Prediction Experiments for Reliability of Machine Tool by Product Performance Data

Authors
Xintao Xia, Wenhuan Zhu, Zhen Chang
Corresponding Author
Xintao Xia
Available Online February 2016.
DOI
https://doi.org/10.2991/emcm-15.2016.58How to use a DOI?
Keywords
Prediction; Reliability; Machine tool; Measurement uncertainty; Fuzzy set theory.
Abstract
For processing mass high quality products, it is crucial that the machine tool can keep a good running in the manufacturing process. In order that the product percent of pass is up to the standard of production, it needs to predict the reliability of the machine tool as soon as possible, which belongs to the probability distribution unknown. Based on the fuzzy set theory, prediction experiments for the reliability of the machine tool by product performance data can be realized. Prediction experiment of judging the reliability of the machine tool shows that under the confidence level P = 95.44%, if the relative error of the measurement uncertainty of the experimental data is not more than 45%, the machine tool is reliable; otherwise, the machine tool is not reliable. Prediction experiment of evaluating the reliability of the machine tool shows that it can be accurately predicted the reliability of the machine tool according to the fuzzy set theory.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Electronics, Mechanics, Culture and Medicine
Part of series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-163-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcm-15.2016.58How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xintao Xia
AU  - Wenhuan Zhu
AU  - Zhen Chang
PY  - 2016/02
DA  - 2016/02
TI  - Prediction Experiments for Reliability of Machine Tool by Product Performance Data
BT  - International Conference on Electronics, Mechanics, Culture and Medicine
PB  - Atlantis Press
SP  - 309
EP  - 313
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-15.2016.58
DO  - https://doi.org/10.2991/emcm-15.2016.58
ID  - Xia2016/02
ER  -