Abstract
This chapter presents algorithms that use data from eddy-current sensors mounted in the engine casing for the purpose of gas turbine engine stability monitoring. To date, most signal-processing techniques using blade tip sensors have been limited to simple parametric measurements associated with the sensor waveform, for example measurement of zero-crossing locations for time of arrival information or maxima for tip clearance information. Using this type of parametric information, many computations require more than one sensor per stage. The use of a minimal number of sensors is an extremely important practical consideration since each pound that is added to an aircraft engine adds considerable costs over the life cycle of the engine. Because of this we have focused on developing algorithms that allow the reduction in the number of sensors needed for fault prognosis. Using our algorithms we have been able to demonstrate the detection of stall cell precursors using a single ECS. These algorithms have been demonstrated in real time in tests at the NASA Glenn W8 single-stage axial-flow compressor facility. The rotor tested, designated NASA Rotor 67, is a fan with 22 blades.
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Notes
- 1.
A first-order mode would have a wavelength equal to the circumference of the compressor; a second-order mode would have a wavelength equal to half of the circumference of the compressor, and so on.
- 2.
Stage mismatching can limit the disturbance to a particular axial region.
- 3.
Moore and Greitzer developed a model for low-speed compressors which was later extended to for analysis of high-speed machines by Feullner et al. [30] and others.
- 4.
In contrast, the pressure perturbation at a given circumferential position is correlated to that at any other position.
- 5.
Because the Fourier coefficients are complex functions of time, the PSD’s are not symmetric with respect to zero frequency.
- 6.
Since noise is generally a broadband, low-power disturbance, the wavelet transform of the noise would have a low-amplitude contribution for each frequency and time. Thus setting to zero any value below a low-amplitude threshold is usually an effective means of reducing noise.
- 7.
The wavelet transform can be implemented as a bank of filters, where the frequency bands are the outputs associated with a particular filter.
- 8.
For more details on wavelet analysis refer to [41].
- 9.
The blade numbering begins with 1 after the rising edge of the synchronization pulse. This numbering may be inconsistent with the physical blade numbers from the experiment, which are unavailable to us at this time.
- 10.
The recirculation tests were performed as part of another testing effort and the results of the stability performance are reported elsewhere.
References
DeLaat, J.C., Southwick, R.D., Gallops, G.W.: High stability engine control (HISTEC). In:Â 32nd Joint Propulsion Conference (1996)
DeLaat, J.C., et al.: High stability engine control (HISTEC) program: flight demonstration phase. In: 34nd Joint Propulsion Conference (1998)
Day, I.J.: Active suppression of rotating stall and surge in axial compressors. J. Turbomachinery 115, 40–47 (1993)
Paduano, J.D., et al.: Active control of rotating stall in a low speed axial compressor. ASME J. Turbomachinery 115, 48–56 (1993)
Behnken, R.L., D’Angrea, R., Murray, R.M.: Control of rotating stall in a low speed axial flow compressor using pulsed air injection: modeling, simulations, and experimental validation. In: 34th Conference on Decision and Control (1995)
Haynes, J.M., Hendricks, G.J., Epstein, A.H.: Active stabilization of rotating stall in a three-stage axial compressor. ASME J. Turbomachinery 116, 226–239 (1994)
Suder, K.L., et al.: Compressor stability enhancement using discrete tip injection. In: ASME Turbo Expo (2000)
Dowell, M., Sylvester, G.: Turbomachinery Prognostics and Health Management via Eddy Current Sensing: Current Developments, Proceedings IEEE Aerospace Conference, 3, 1–9 (1999)
Day, I.J.: Stall inception in axial flow compressors. J. Turbomachinery 115, 1–9 (1993)
Moore, F.K., Greitzer, E.M.: A theory of post stall transients in axial compression systems: part 1-development of equations. J. Eng. Gas, Turbines, Power 108, 68–76 (1986)
Tryfonidis, M., et al.: Prestall behavior of several high-speed compressors. J. Turbomachinery 117, 62–80 (1995)
Bright, M.M., et al.: Stall precursor identification in high-speed compressor stages using chaotic time series analysis methods. J. Turbomachinery 119, 491–499 (1997)
Camp, T.R., Day, I.J.: A study of spike and modal stall phenomena in a low speed axial compressor. J. Turbomachinery 120, 393–401 (1998)
Bright, M.M., Qammar, H.K., Wang, L.: Investigation of pre-stall mode and pip inception in high-speed compressors through the use of correlation integral. J. Turbomachinery 121, 743–750 (1999)
Day, I.J., et al.: Stall inception and the prospects for active control in four high-speed compressors. J. Turbomachinery 121, 18–27 (1999)
Hoss, B., Leinhos, D., Fottner, L.: Stall inceptions in the compressor system of a turbofan engine. J. Turbomachinery 122, 32–44 (2000)
McDougall, N.M., Cumpsty, N.A., Hynes, T.P.: Stall inception in axial compressors. ASME J. Turbomachinery 112, 116–125 (1990)
Hendricks, G.J., et al.: Analysis of rotating stall onset in high speed axial flow compressors. In: AIAA Paper No (1993)
Weigl, H.J., et al.: Active stabilization of rotating stall and surge in a transonic single-stage axial compressor. J. Turbomachinery 120, 625–636 (1998)
Dowell, M., et al.: Progress in turbomachinery prognostics and health management via eddy current sensing: current. In: IEEE Aerospace Conference (2001)
Grassberger, P., Procaccia, I.: Measuring the strangeness of strange attractors. Physica D 9, 189–208 (1983)
Provenzale, A., et al.: Distinguishing between low-dimensional dynamics and randomness in measured time series. Physica D 58, 31–49 (1992)
Bright, M.M., et al.: Rotating pip detection and stall warning in high speed compressors using structure function. In: AGARD RTO AVT Conference (1998)
Bright, M.M.: Chaotic Time Series Analysis Tools for Identification and Stabilization of Rotating Stall Precursor Events in High Speed Compressors, University of Akron (PhD Thesis), (2000)
Liao, S.F., Chen, J.Y.: Time frequency analysis of rotating stall by means of wavelet transform. In: ASME 96-GT-57 (1996)
Cheng, X., Chen, J., Nie, C.: Investigation on the precursor behavior of compressor rotating stall through two-dimensional wavelet transform. Institute of Engineering Thremophysics, Chinese Academy of Sciences, Beijing (1999)
Lin, F., Chen, J., Li, M.: Practical issues of wavelet analysis of unsteady rotor tip flows in compressors. In: AIAA (2002)
Lin, F., Chen, J., Li, M.: Experimental investigation of unsteady rotor tip flows in a high speed compressor throttled to stall. In: ASME Turbo Expo GT-2002-30360 (2002)
Greitzer, E.M., Moore, F.K.: A theory of post stall transients in axial compression systems: part II-applications. J. Eng. Gas, Turbines, Power 108, 231–239 (1986)
Feullner, M.R., Hendricks, G.J., Paduano, J.D.: Modeling for control of rotating stall in high speed multistage axial compressors. ASME J. Turbomachinery 118(1), 1–10 (1996)
Sepulcre, R., Kokotovic, P.V.: Shape signifiers for control of surge and stall in jet engines. IEEE Trans. Automat. Contr. 43, 1643–1648 (1995)
Wang, H.H.: A control-oriented model for aeroengine compressors with deep hysteresis. (1996, Preprint)
van Schalkwyk, M.C., et al.: Active stabilization of axial compressors with circumferential inlet distortion. J. Turbomachinery, 120, 431–439 (1998)
Hynes, T.P., Greitzer, E.M.: A method for assessing effects of circumferential flow distortion on compressor stability. ASME J. Turbomachinery 109, 371–379 (1987)
Liaw, D.C., Abed, E.H.: Active control of compressor stall inception: a bifurcation theoretic approach. Automatica 32, 109–115 (1996)
McCaughan, F.E.: Bifurcation analysis of axial flow compressor stability. SIAM J. Appl. Math 50, 1232–1253 (1990)
Yeung, S., Murray, R.M.: Nonlinear Control of rotating stall using axisymmetric bleed with continuous air injection on a low-speed, single stage axial compressor. in AIAA Joint Propulsion Conference (1997)
Yeung, S., Murray, R.M.: Reduction of bleed valve rate requirements for control of rotating stall using continuous air injection. In: Conference on Control Applications (1998)
Eveker, K.M., et al.: Integrated control of rotating stall and surge in high-speed multistage compression systems. J. Turbomachinery 120, 440–445 (1998)
Terpay, G., Zipfel, G.: Measuring blade condition in a gas turbine engine using eddy currents. In: International Conference3 on Adaptive Structures and Technologies (1998)
Teolis, A.: Computational Signal Processing with Wavelets. Applied and Numerical Harmonic Analysis. Birkhauser, Boston (1998)
Acknowledgments
There are very few engine test facilities and fewer opportunities for a small company to participate in testing. Making this testing opportunity possible involved the help of many people. The authors would like to thank Carole Ginty, Vithal Dalsania, Michael Hathaway, Joe Veres, Sanjay Garg, and Osvlado Rivera for allowing us to piggyback on their tests under the UEET Program and also Tony Strazisar for coordination of the testing and testing advice and Dennis Culley, Jose Gonzales, Helmi Abulaban, Scott Thorp, Sue Prahst, Rick Brokopp, and Bruce Wright for their essential roles in preparing for and conducting the test. We would also like to thank Erdal Unver at GDAIS and Ravi Ravindranath at NAVAIR for lending sensors and electronics for the testing. Also Mike Dowell at GDAIS who provided data from previous engine tests to facilitate algorithm development. This work has been funded by NASA and NSF SBIR programs, contract NAS#-99002, and NSF-0110316, NSF-0216021, respectively.
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Teolis, C., Gent, D., Kim, C., Teolis, A., Paduano, J., Bright, M. (2013). Eddy Current Sensor Signal Processing for Stall Detection. In: Andrews, T., Balan, R., Benedetto, J., Czaja, W., Okoudjou, K. (eds) Excursions in Harmonic Analysis, Volume 1. Applied and Numerical Harmonic Analysis. Birkhäuser, Boston. https://doi.org/10.1007/978-0-8176-8376-4_21
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