@inproceedings{848063a3f8904aeb86be6d1f7cd0aff8,
title = "Big-data-driven based intelligent prognostics scheme in industry 4.0 environment",
abstract = "In this paper, a big-data-driven based intelligent prognostics strategy is proposed to deal with industrial big data generated in the process of intelligent manufacturing, which is an inevitable trend in the industry 4.0 environment. The developed scheme demonstrated the important issues for the intelligent prognostics methodology, including pre-processing methods for industrial big data, association analysis based feature processing, and deep learning based prognostics model, spark platform based parallel computing, etc. The proposed methodology and technical system will provide important referential value for the construction of big-data-driven machine prognostics system in industry 4.0 environment.",
keywords = "association analysis, deep learning, industrial big data, parallel computing, prognostics model",
author = "Jihong Yan and Yue Meng and Lei Lu and Chaozhong Guo",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 8th IEEE Prognostics and System Health Management Conference, PHM-Harbin 2017 ; Conference date: 09-07-2017 Through 12-07-2017",
year = "2017",
month = oct,
day = "20",
doi = "10.1109/PHM.2017.8079310",
language = "英语",
series = "2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Bin Zhang and Yu Peng and Haitao Liao and Datong Liu and Shaojun Wang and Qiang Miao",
booktitle = "2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings",
address = "美国",
}