@inproceedings{366c08d2a31040e6abe3e0349926fddc,
title = "A hybrid signal processing technique for bearing defect severity estimation",
abstract = "This paper presents a hybrid signal processing technique for bearing defect feature extraction and severity estimation. This is achieved by decomposing vibration signals measured on multiple bearings with different defect conditions into multiple sub-bands by means of the wavelet packet transform (WPT). Representative statistical features for each sub-band are then calculated. Subsequently, Principal Component Analysis (PCA) is performed on the statistical features to choose the best-suited representative features as inputs to a diagnostic classifier for bearing health diagnosis.",
author = "Gao, \{Robert X.\} and Ruqiang Yan",
year = "2005",
doi = "10.1115/wtc2005-63552",
language = "英语",
isbn = "0791842029",
series = "Proceedings of the World Tribology Congress III - 2005",
publisher = "American Society of Mechanical Engineers",
pages = "857--858",
booktitle = "Proceedings of the World Tribology Congress III - 2005",
note = "2005 World Tribology Congress III ; Conference date: 12-09-2005 Through 16-09-2005",
}