@inproceedings{69a47af9f0ac4769ba9c14055f7f9e48,
title = "Fault diagnosis based on wavelet package and phase spectrum for helicopter rotor",
abstract = "Considering difficulty in extracting feature and localizing fault for helicopter rotor, a new method based on wavelet energy spectrum and phase spectrum is presented. The wavelet package analysis is adopted to eliminate the noise in the actual signals to increase signal-to-noise ratio, and to extract energy feature vector in various frequency bands through signal decomposition and single reconfiguration. And Fast Fourier Transform algorithm is applied to obtain initial phase. Rotor fault diagnosis and localization is realized by combining the wavelet energy feature vector with initial phase spectrum. Experiments results validate the effectiveness of this method.",
keywords = "Fault diagnosis, Fault localization, Helicopter rotor, Phase spectrum;, Wavelet energy spectrum",
author = "Hongmei Liu and Chen Lu and Pingchao Ouyang and Shaoping Wang",
year = "2010",
doi = "10.1109/iCECE.2010.1268",
language = "英语",
isbn = "9780769540313",
series = "Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010",
pages = "5227--5230",
booktitle = "Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010",
note = "International Conference on Electrical and Control Engineering, ICECE 2010 ; Conference date: 26-06-2010 Through 28-06-2010",
}