Feasibility Study of HHT Method on Helicopter Rotor Imbalance Fault Feature Extraction
Authors
Wen Cao, Zhen-hong Xing, Yi Yao, Meng Zhang
Corresponding Author
Wen Cao
Available Online August 2015.
- DOI
- 10.2991/icmeis-15.2015.70How to use a DOI?
- Keywords
- HHT; EMD; Helicopter Rotor imbalance fault; Feature extraction
- Abstract
Firstly, using the Hilbert-Huang Transform (HTT) methods of data for the empirical mode decomposition (EMD), so as to extract the Intrinsic mode function (IMF) of the signal , and then do Hilbert transform to get the Hilbert spectrum of the signal. The method has great advantages to non-linear and non-stationary data signal. For helicopter rotor imbalance fault causes the body to the vibration characteristics of the data, the marginal spectrum analysis its, can get the valid fault feature.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wen Cao AU - Zhen-hong Xing AU - Yi Yao AU - Meng Zhang PY - 2015/08 DA - 2015/08 TI - Feasibility Study of HHT Method on Helicopter Rotor Imbalance Fault Feature Extraction BT - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015) PB - Atlantis Press SP - 382 EP - 386 SN - 2352-5401 UR - https://doi.org/10.2991/icmeis-15.2015.70 DO - 10.2991/icmeis-15.2015.70 ID - Cao2015/08 ER -