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TECHNICAL PAPERS: Gas Turbines: Controls, Diagnostics, and Instrumentation

Diagnosis for Loose Blades in Gas Turbines Using Wavelet Analysis

[+] Author and Article Information
Meng Hee Lim, M. Salman Leong

Institute of Noise and Vibration, University of Technology, 54100 Kuala Lumpur, Malaysia

J. Eng. Gas Turbines Power 127(2), 314-322 (Apr 15, 2005) (9 pages) doi:10.1115/1.1772406 History: Received October 01, 2002; Revised March 01, 2003; Online April 15, 2005
Copyright © 2005 by ASME
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References

Meher-Homji, C. B., 1995, “Blading Vibration and Failures in Gas Turbines: Part A—Blading Dynamics and the Operating Environment,” ASME Paper No. 95-GT-418.
Meher-Homji, C. B., 1995, “Blading Vibration and Failures in Gas Turbines: Part B—Compressor and Turbine Airfoil Distress,” ASME Paper No. 95-GT-419.
Meher-Homji, C. B., 1995, “Blading Vibration and Failures in Gas Turbines: Part C—Detection and Troubleshooting,” ASME Paper No. 95-GT-420.
Meher-Homji, C. B., 1995, “Blading Vibration and Failures in Gas Turbines: Part D—Case Studies,” ASME Paper No. 95-GT-421.
Kuo,  R. J., 1995, “Intelligent Diagnosis for Turbine Blade Faults Using Artificial Neural Network and Fuzzy Logic,” Eng. Applic. Artif. Intell., 8, pp. 25–34.
Ng, B. H., and Zahir, I., 2000, “Managing the Risk of Extended EOH of ABB Gas Turbines at Connaught Bridge Power Station,” Report of Connaught Bridge Power Station, Klang, paper also available at website URL: http://www.egat.or.th/asean_cc/news/paper06.doc
Simmons, H., 1986, “A Non-Intrusive Method for Detecting HP Blade Resonance,” ASME Paper No. 86-JPGC-Pwr-36.
Simmons, H., 1987, “Non-Intrusive Detection of Turbine Blade Resonance,” Third EPRI Conference on Incipient Failure Detection in Power Plants,” Philadelphia, PA.
Parge, P., Trevillion, B., and Carle, P., 1989, “Machinery Interactive Display and Analysis System Description and Applications,” Proceedings of the First International Machinery Monitoring and Diagnostic Conference, Sept. 11–14, Las Vegas, NV, pp. 176–182.
Parge, P., 1990, “Non-Intrusive Vibration Monitoring for Turbine Blade Reliability,” Proceedings of Second International Machinery Monitoring and Diagnostic Conference, Oct. 22–25, pp. 435–446.
Hewlett Packard, “The Fundamental of Signal Analysis,” Application Note 243.
Mitchell, John S., 1981, An Introduction to Machinery Analysis and Monitoring, PennWell Publishing Company, Tulsa, OK.
Aretakis,  N., and Mathioudakis,  K., 1997, “Wavelet Analysis for Gas Turbine Fault Diagnostics,” ASME J. Eng. Gas Turbines Power, 119, pp. 870–876.
Sidney Burrus, C., Ramesh, A. G., and Guo, H. T., 1998, Introduction to Wavelets and Wavelet Transforms, Prentice-Hall Englewood Cliffs, NJ.

Figures

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Basic configuration of compressor rotor and its pertinent components (Ng and Zahir 6)
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Typical crack location on intermediate pieces (Ng and Zahir 6)
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View of the experimental test rig
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Photograph showing blade assembly with intermediate locking pieces
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Coiflet (level 5) wavelet
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Comparison of baseline and faulty condition 1
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Comparison of faulty condition 2
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Typical global wavelet map
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Local wavelet maps: (a) baseline, (b) condition no. 1 (one blade, 1 mm), (c) condition no. 2 (three blades, 1 mm)
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Waterfall plots: (a) baseline, (b) condition no. 1 (1 mm), (c) condition no. 1 (2 mm), (d) condition no. 2 (three blades, 2 mm), (e) condition no. 3 (six blades, 2 mm)
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Coast down wavelet maps: (a) baseline, (b) condition no. 1 (1 mm), (c) condition no. 1 (2 mm), (d) condition no. 2 (three blades, 2 mm), (e) condition no. 3 (six blades, 2 mm)
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Zoomed BPF time waveform
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Wavelet analysis (a) good condition (b) with fault

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