Trend Feature Extraction in Condition Monitoring by a New Piecewise Linear Representation Method
Authors
Changfeng Yan, Cheng Yi, Lixiao Wu, Jianfang Fang
Corresponding Author
Changfeng Yan
Available Online July 2015.
- DOI
- 10.2991/icismme-15.2015.294How to use a DOI?
- Keywords
- Trend Feature Extraction; Condition Monitoring; Piecewise Linear Representation; Local Maximum Minimum and Slope.
- Abstract
To extract the trend of condition monitoring data set effectively, piecewise linear representation is one of the most potential strategies. A new trend feature extraction method is presented based on the local maximum minimum and slope in this paper. The results of experiments are shown that it can extract the multiscale of trend feature and ensure acceptable fitting error. The process of extracting trend feature focuses on identification of rules and patterns and discovering the relevant and interesting information from condition monitoring system. It can provide a certain reference for condition trend analysis.
- Copyright
- © 2015, 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 - Changfeng Yan AU - Cheng Yi AU - Lixiao Wu AU - Jianfang Fang PY - 2015/07 DA - 2015/07 TI - Trend Feature Extraction in Condition Monitoring by a New Piecewise Linear Representation Method BT - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy PB - Atlantis Press SP - 1377 EP - 1382 SN - 1951-6851 UR - https://doi.org/10.2991/icismme-15.2015.294 DO - 10.2991/icismme-15.2015.294 ID - Yan2015/07 ER -