A predictive maintenance method for products based on big data analysis
- 10.2991/meita-15.2015.71How to use a DOI?
- Predictive maintenance, PLM, IoT, R&M, O&M, big data, data mining
Recently, withmanufacturing enterprises have begun to widely useadvanced information technology to real-time monitor of their business and product, a large amount of data related to product lifecycle were produced. Typical challenges for maintenanceunder the environment of big data is facing now are lacking of timely and accurate data of products, and lackingof useful pattern and knowledge of product lifecycle. To address this problem,in this research, by using the technologies of Internet of Things (IoT), anarchitecture of Research and Manufacturing (R&M) and Operation and Maintenance (O&M) process big data acquisition was proposed. Based on the R&M and O&M big data, a real-time decision making method for predictive maintenance was discussed, and the data flow model of predictive maintenance based on big data mining was also established.
- © 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 - Shan Ren AU - Xin Zhao PY - 2015/08 DA - 2015/08 TI - A predictive maintenance method for products based on big data analysis BT - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications PB - Atlantis Press SP - 385 EP - 390 SN - 2352-5401 UR - https://doi.org/10.2991/meita-15.2015.71 DO - 10.2991/meita-15.2015.71 ID - Ren2015/08 ER -