Research on Fault Diagnosis Method of NC Machine Based on Fuzzy Synthetic Discrimination
Authors
Tian Mei , Li Songyu , You Chunyan, Sun Yanhong
Corresponding Author
Tian Mei
Available Online July 2017.
- DOI
- 10.2991/snce-17.2017.76How to use a DOI?
- Keywords
- Numerical control machine (NC machine); Fault diagnosis; Information fusion; Model; Fuzzy synthetic discrimination
- Abstract
Aiming at the difficulty of fuzzy synthetic discrimination model of NC machine, this paper proposes the primary diagnosis results which change the evaluation factors from high dimensional features to the low one based on the initial diagnosis results of classifier. It reduces the complexity of the model and constructs a single stage fuzzy synthetic discrimination model for fault diagnosis of NC machine based on information fusion successfully. It puts forward the method of evaluating classifier classification ability from tow aspects of validity and accuracy, constructs the whole weight allocation method of classifier and the evaluation function according to information entropy, and finally reduces the influence of subjective factors.
- Copyright
- © 2017, 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/).
Cite this article
TY - CONF AU - Tian Mei AU - Li Songyu AU - You Chunyan AU - Sun Yanhong PY - 2017/07 DA - 2017/07 TI - Research on Fault Diagnosis Method of NC Machine Based on Fuzzy Synthetic Discrimination BT - Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017) PB - Atlantis Press SP - 377 EP - 381 SN - 2352-538X UR - https://doi.org/10.2991/snce-17.2017.76 DO - 10.2991/snce-17.2017.76 ID - Mei 2017/07 ER -