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Gas Turbine Engine Fan Blade Flutter Detection Using Casing Vibration Signals by Application of Recurrence Plots and Recurrence Quantification Analysis

Part of the Lecture Notes in Mechanical Engineering book series (LNME)


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.


  • Flutter
  • Recurrence plots
  • Bladed disc
  • Casing vibration
  • Low-pressure compressor (LPC)
  • High-pressure compressor (HPC)

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  • DOI: 10.1007/978-981-15-5701-9_31
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Fig. 1
Fig. 2

Courtesy GTRE

Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
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Fig. 9
Fig. 10


1F :

First flexural mode

2F :

Second flexural mode

1T :

First torsional mode

N L :

LPC spool speed

N H :

HPC spool speed


Revolutions per second

EO :

Engine orders


Killo samples per second


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The authors are thankful to the director, Gas Turbine Research Establishment (GTRE), Bangalore, and National Aerospace Laboratories (NAL), Bangalore, who has given an opportunity to take up this research work. They also thank Mr. Vikas, scientist, working in the instrumentation and control engineering group of GTRE for helping in various data analysis work.

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Correspondence to A. N. Viswanatha Rao .

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Viswanatha Rao, A.N., Naidu, V.P.S., Jana, S. (2021). Gas Turbine Engine Fan Blade Flutter Detection Using Casing Vibration Signals by Application of Recurrence Plots and Recurrence Quantification Analysis. In: Rao, J.S., Arun Kumar, V., Jana, S. (eds) Proceedings of the 6th National Symposium on Rotor Dynamics. Lecture Notes in Mechanical Engineering. Springer, Singapore.

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