@inproceedings{d8f1f146fed34c2db159379986c66fb5,
title = "Fault diagnosis based on wavelet package for hydraulic pump",
abstract = "De-noising and extraction of the weak signature are crucial to fault diagnostics in which case features are often very weak and masked by noise. The wavelet transform has been widely used in signal de-noising due to its extraordinary time- frequency representation capability. In this paper, wavelet decomposition-based de-noising method is employed for fault feature extraction of hydraulic pump. The experiment result reveals that the wavelet decomposition de-noising method can achieve satisfactory results on weak signal detection of hydraulic pump.",
keywords = "Fault diagnosis, Hydraulic pump, Port plate partial wear, Slipper and sloping cam plate wear, Wavelet analysis",
author = "Wenkui Hou and Chuan Lu and Hongmei Liu and Chen Lu",
year = "2009",
doi = "10.1109/ICRMS.2009.5269950",
language = "英语",
isbn = "9781424449057",
series = "Proceedings of 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009",
pages = "831--835",
booktitle = "Proceedings of 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009",
note = "2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009 ; Conference date: 20-07-2009 Through 24-07-2009",
}