@inproceedings{9a000d71487d47c6858641e736a58904,
title = "An improved EMD method for fault diagnosis of rolling bearing",
abstract = "Empirical mode decomposition (EMD) is powerful in analyzing the vibration signals of bearings. However, the accuracy of its decomposition result is heavily dependent on the choice of envelope interpolation algorithms. In this paper, we propose a bandwidth method to select the envelope in EMD called bandwidth based EMD (BEMD). Since there is an optimization process in envelope selection, the scale mixing problem caused by envelope interpolation can be significantly weakened. The proposed BEMD method is demonstrated to be effective in rolling bearing fault diagnosis by comparing with existing improved EMD.",
keywords = "Bandwidth based empirical mode decomposition (BEMD), Fault signature extraction, Rolling bearing",
author = "Yongbo Li and Minqiang Xu and Wenhu Huang and Zuo, {Ming J.} and Libin Liu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 ; Conference date: 19-10-2016 Through 21-10-2016",
year = "2017",
month = jan,
day = "16",
doi = "10.1109/PHM.2016.7819842",
language = "英语",
series = "Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Qiang Miao and Zhaojun Li and Zuo, {Ming J.} and Liudong Xing and Zhigang Tian",
booktitle = "Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016",
}