Rotor Local Rubbing Fault Feature Analysis Based on Teager-Huang Transform

Abstract:

An analysis method based on Teager-Huang transform for rotor local rubbing fault diagnosis is introduced. Firstly, the original vibration signal is decomposed into some Intrinsic Mode Function (IMF) components by using Empirical Mode Decomposition (EMD) approach, secondly, Teager energy operator is applied to estimate the instantaneous amplitude and instantaneous frequency of each IMF component, so the time-frequency distribution of the signal is obtained. The rotor local rubbing fault is simulated on a rotor test rig. The analysis results show that this method compared with Hilbert-Huang transform (HHT) can track the occurrence of rotor local rubbing fault better and can extract the characteristics of rotor local rubbing fault effectively. It provides a reliable method for timely and accurate diagnostic to the rotor local rubbing fault.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 3244-3247
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.3244
• Online since: July 2014
• Authors: Shang Kun Liu*, Gui Ji Tang, Bin Pang
• Keywords: Fault Diagnosis, Local Rubbing Fault, Rotor System, Teager-Huang Transform

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