@inproceedings{18d8c38763654ced8da49d3ce5d24282,
title = "Visualization method for spectrum analysis of vibration acceleration signals",
abstract = "Vibration acceleration signals of mechanical equipment have complicated spectrum structures. It is very difficult to extract the state information from acceleration spectrums by a simple and effective algorithm. In this paper, a visualization method for spectrum analysis of vibration acceleration signals is proposed. First, the spectrums of vibration acceleration signals are automatic segmented and the summation of amplitudes (SOA) of each frequency band is counted. Then, the visualization method of ThemeRiver is used to depict the SOA of each frequency band, which reflects the running state of the machinery equipment in its whole life cycle. Finally, the analysis method is verified by the bearing vibration acceleration signals.",
keywords = "ThemeRiver, running state, vibration acceleration signal, visualization",
author = "Shijie Chu and Qing Zhang and Bin Xu and Fei Liu and Lin Liang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017 ; Conference date: 19-06-2017 Through 21-06-2017",
year = "2017",
month = jul,
day = "31",
doi = "10.1109/ICPHM.2017.7998335",
language = "英语",
series = "2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "239--245",
booktitle = "2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017",
}