Author:
Saufi Mohd Syahril Ramadhan,Isham M. Firdaus,Hassan M. Danial Abu
Reference20 articles.
1. Zhang Z, Yang G, Hu K (2018) Prediction of fatigue crack growth in gas turbine engine blades using acoustic emission. Sensors (Switzerland) 18(5):1321
2. Wang N, Liu C, Jiang D, Behdinan K (2019) Casing vibration response prediction of dual-rotor-blade-casing system with blade-casing rubbing. Mech Syst Signal Process 118:61–77
3. Wang W, Xu Z, Tang R, Li S, Wu W (2014) Fault detection and diagnosis for gas turbines based on a kernelized information entropy model. Hindawi Sci World J 2014:1–13
4. Kubiak J, Urquiza G, Rodriguez JA, González G, Rosales I, Castillo G, Nebradt J (2009) Failure analysis of the 150 MW gas turbine blades. Eng Fail Anal 16:1794–1804
5. Hanachi H, Mechefske C, Liu J, Banerjee A, Chen Y (2018) Performance-based gas turbine health monitoring, diagnostics, and prognostics: a survey. IEEE Trans Reliab 67:1340–1363
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