Abstract
The rubbing between rotor and stator often occurs in rotating machinery at position with small clearances and can cause unexpected machine downtime. Therefore, it is important to develop trustworthy tools for rub detection.
As the rubbing process is nonlinear this paper beside conventional Fourier transform and Hilbert Huang Transform (HHT) also considers potential of Teager-Huang transform (THT). This approach is based on, empirical mode decomposition (EMD) and Teager Kaiser energy operator (TKEO) technique. First, the original vibration signal is decomposed into Intrinsic Mode Function (IMF) components by using Empirical Mode Decomposition (EMD), and then Teager energy operator is applied to estimate the instantaneous amplitude and instantaneous frequency of each IMF component, so the time-frequency distribution of the analyzed signal is obtained.
Diagnostic tool is tested on laboratory test rig at two different rotor operating conditions i.e. without rotor–stator rubbing and with partial rotor–stator rub. Measurements of rotor lateral displacements are made using non-contact eddy current displacement sensors.
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Braut, S., Žigulić, R., Rončević, G.Š., Skoblar, A. (2019). Rotor-Stator Partial Rub Detection Based on Teager-Huang Transform. In: Cavalca, K., Weber, H. (eds) Proceedings of the 10th International Conference on Rotor Dynamics – IFToMM . IFToMM 2018. Mechanisms and Machine Science, vol 61. Springer, Cham. https://doi.org/10.1007/978-3-319-99268-6_18
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DOI: https://doi.org/10.1007/978-3-319-99268-6_18
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