[1]
Barschdorff, D., and Korthauer, R. (1986).
Google Scholar
[2]
Latcovich, J.A. (2002).
Google Scholar
[3]
MBA D. HALL L. D (2002). The transmission of acoustic emission across large-scale turbine rotors., NDT & E International, 2002, vol. 35, no8, pp.529-539.
DOI: 10.1016/s0963-8695(02)00026-9
Google Scholar
[4]
Kubiak, J., Gonzalez, G., Garcia, G., Urquiza, B. (2001).
Google Scholar
[5]
Meher-Homji, C.B. (1995b). Blading Vibration and Failures in Gas Turbines: Part B – Compressor and Turbine Airfoil Distress., ASME paper no. 95-GT-419.
DOI: 10.1115/95-gt-419
Google Scholar
[6]
Fisher, C. (2000). Gas Turbine Condition Monitoring Systems – an Integrated Approach., Paper presented at IEEE Aerospace Conference (2000).
Google Scholar
[7]
Kubiak, J. A, Franco, J.M., Carnero, A., Rothhirsch, A., Aguirre, L. J (1987). Diagnosis of Failure of a Compressor Blade., ASME (paper), Paper Presented at the ASME Gas Turbine Conference and Exhibition. Paper no. 87-GT-45.
DOI: 10.1115/87-gt-45
Google Scholar
[8]
Simmons, H.R. (1987). Non-Intrusive Detection of Turbine Blade Resonance., Third EPRI Conference on Incipient Failure Detection in Power Plants, Philadelphia, (1987).
Google Scholar
[9]
Lim Meng Hee, Leong. M.S. Experimental study of dynamic responses of casing deflection profile for blade rubbing classification,. Journal of Vibroengineering, Vol. 14 (4), pp.1668-1680, Dec (2012).
Google Scholar
[10]
Lackner, M (2004). Vibration and crack detection in gas turbine engine compressor blades using Eddy current sensors., Thesis (S.M. )-Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics.
Google Scholar
[11]
Mercadal, M., VonFlotow, A., Tappert, P. (2001). Damage Identification by NSMS Blade Resonance Tracking in Mistuned Rotors., IEEE Aeropace Conference Proceedings, Vol. 7.
DOI: 10.1109/aero.2001.931403
Google Scholar
[12]
Ray, B. (1998) Condition Monitoring of Steam Turbines by Performance Analysis., Paper presented at the 52nd Conference of The Machinery Failure Prevention Society, Virginia Beach.
Google Scholar
[13]
Dorfman, L.S., Miroslav, T. (1999). Torsional Monitoring of Turbine-Generators for Incipient Failure Detection., Sixth EPRI Steam Turbine/ Generator Workshop. August 17-20, 1999. St. Louis, Missouri.
Google Scholar
[14]
Meher-Homji, C.B. (1995c). Blading Vibration and Failures in Gas Turbines: Part C – Detection and Troubleshooting., ASME paper no. 95-GT-420.
DOI: 10.1115/95-gt-420
Google Scholar
[15]
Mathioudakis, K., Papathanasiou, A., Loukis, E., Papailiou, K. D (1991). Fast Response Wall Pressure As a Means of Gas Turbine Blade Fault Identification., ASME Journal of Engineering for Gas Turbine and Power, Vol. 113. Pp. 269-275.
DOI: 10.1115/1.2906558
Google Scholar
[16]
Dedoussis, V., Mathioudakis, K., Papailiou, K.D., (1997) Numerical Simulation of Blade Fault Signatures from Unsteady Wall Pressure Signals., ASME Journal of Engineering for Gas Turbine and Power. Vol. 119. Pp. 362-369.
DOI: 10.1115/1.2815583
Google Scholar
[17]
Aretakis, N., Mathioudakis, K. (1997). Wavelet Analysis for Gas Turbine Fault Diagnostics., ASME Journal of Engineering for Gas Turbine and Power. Vol. 119. Pp. 870-876.
DOI: 10.1115/1.2817067
Google Scholar
[18]
Meher-Homji, C.B. (1990).
Google Scholar
[19]
Lim, M. H., Leong, M. S. (2005), Diagnosis for Loose Blades in Gas Turbines Using Wavelet Analysis, ASME Journal of Eng. for Gas Turbines and Power, Vol. 127, 2005, pp.315-322.
DOI: 10.1115/1.1772406
Google Scholar
[20]
Kuo, R. J. (1995). Intelligent Diagnosis for Turbine Blade Faults Using Artificial Neural Network and Fuzzy Logic., Engineering Application of Artificial Intelligence, Vol. 8. Pp. 25-34.
DOI: 10.1016/0952-1976(94)00082-x
Google Scholar