Title :
Vibration Signal Analysis of Rotor System Based on Time-Frequency Attributes
Author :
Xiang, Ling ; Tang, Guiji ; Zhu, Yongli
Author_Institution :
Mech. Eng. Dept., North China Electr. Power Univ., Baoding
Abstract :
The time-frequency analysis by Hilbert-Huang transform (HHT) plays on a significant role in the analysis of singularities, which hide in the signal, and is an effective method for non-stationary signal. Based on empirical mode decomposition (EMD), the Hilbert-Huang method can obtain a true instantaneous frequency representation of a signal. The analytical background of the HHT is introduced, and its effectiveness is experimentally evaluated using vibration signal. The experiment data of typical vibration faults signal were analyzed by the method, and the result shows that the proposed method can not only reveal the time-frequency features of vibration signal but also extrude components of low energy. Therefore, it is a very effective tool to diagnose the early faults of rotor system. And it provides new means for state detection and fault diagnosis of rotating machine.
Keywords :
Hilbert transforms; condition monitoring; electric machines; fault diagnosis; mechanical engineering computing; rotors; signal representation; time-frequency analysis; vibrations; Hilbert-Huang transform; empirical mode decomposition; health monitoring; rotating machine fault diagnosis; rotor system; signal frequency representation; time-frequency analysis; vibration signal analysis; Condition monitoring; Fault diagnosis; Feature extraction; Fourier transforms; Signal analysis; Signal processing; Signal resolution; Time frequency analysis; Vibrations; Wavelet transforms; Hilbert-Huang transform (HHT); Signal processing; fault diagnosis; time-frequency analysis;
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
DOI :
10.1109/ICYCS.2008.171
