Viswanatha Rao, AN and Naidu, VPS and Jana, S (2021) Gas Turbine Engine Fan Blade Flutter Detection Using Casing Vibration Signals by Application of Recurrence Plots and Recurrence Quantification Analysis. In: Proceedings of the 6th National Symposium on Rotor Dynamics, Singapore.
Full text not available from this repository.Abstract
Gas turbine aero engines are a specific class of turbomachinery wherein compression system and turbine are realized as spinning discs on an interconnecting shaft. Fan-bladed disc undergoes an unsteady aeroelastic phenomenon known as flutter during various operational regimes, which might lead to structural failure of blades. Study of this mode of flutter induced structural response by measuring casing vibration is of interest in health monitoring of aero engines. In this paper, authors present a novel application of detecting the rotating blade flutter based on the feature space constructed using statistical parameters, recurrence plots (RP) and recurrence quantification analysis (RQA) of engine casing vibration data. Feature vectors thus obtained are visualised in several 3D vector space plots to cluster the data points which separate flutter mode from the normal mode of operation. Results obtained through the proposed method have been compared with engine flutter test results obtained through dedicated rotating blade strain gauge instrumentation.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Flutter, Recurrence plots, Bladed disc, Casing vibration, Low-pressure compressor (LPC) High-pressure compressor (HPC) |
| Subjects: | AERONAUTICS > Aerodynamics AERONAUTICS > Aircraft Propulsion and Power ENGINEERING > Mechanical Engineering |
| Depositing User: | Smt Bhagya Rekha KA |
| Date Deposited: | 21 Nov 2022 16:09 |
| Last Modified: | 21 Nov 2022 16:09 |
| URI: | http://nal-ir.nal.res.in/id/eprint/13676 |
Actions (login required)
 |
View Item |
