Fault diagnosis of bladed disc using wavelet transform and ensemble empirical mode decomposition

References

• Abdelrahman, A. M., L. M. Hee, M. S. Leong, and S. Al-Obaidi. 2014. “Condition Monitoring of Blade in Turbomachinery: A Review.” Advances in Mechanical Engineering 2014: ID 210717, 10 pages. doi:10.1155/2014/210717.
   Google Scholar
• Carter, T. J. 2005. “Common Failure in a Gas Turbine Blade.” Engineering Failure Analysis 12 (2): 237–247. doi:10.1016/j.engfailanal.2004.07.004.
   Web of Science ®Google Scholar
• Chan, J. C., and P. W. Tse. 2009. “A Novel, Fast, Reliable Data Transmission Algorithm for Wireless Machine Health Monitoring.” IEEE Transactions on Reliability 58 (2): 295–304. doi:10.1109/TR.2009.2020479.
   Web of Science ®Google Scholar
• Cheng, J., D. Yu, J. Tang, and Y. Yang. 2008. “Application of Frequency Family Separation Method Based upon EMD and Local Hilbert Energy Spectrum Method to Gear Fault Diagnosis.” Mechanism and Machine Theory 43 (6): 712–723. doi:10.1016/j.mechmachtheory.2007.05.007.
   Web of Science ®Google Scholar
• Cheng, J., D. Yu, J. Tang, and Y. Yang. 2009. “Local Rub-Impact Fault Diagnosis of the Rotor Systems Based on EMD.” Mechanism and Machine Theory 44 (4): 784–791. doi:10.1016/j.mechmachtheory.2008.04.006.
   Web of Science ®Google Scholar
• Choi, Y. S., and K. H. Lee. 2010. “Investigation of Blade Failure in a Gas Turbine.” Journal of Mechanical Science and Technology 24 (10): 1969–1974. doi:10.1007/s12206-010-0614-y.
   Web of Science ®Google Scholar
• Daubechies, I. 1992. Ten Lectures on Wavelets. Vol. 61 350 pages. Philadelphia: CBMS-NSF Regional Conference Series in Applied Mathematics. doi:10.1137/1.9781611970104
   Google Scholar
• Gurban, A. A., and J. K. Sinha. 2014. “Shaft Instantaneous Angular Speed for Blade Vibration in Rotating Machine.” Mechanical Systems and Signal Processing 44 (1–2): 47–59. doi:10.1016/j.ymssp.2013.02.005.
   Web of Science ®Google Scholar
• He, K., Z. Zhang, S. Xiao, and X. Li. 2013. ““Feature Extraction of AC Square Wave SAW Arc Characteristics Using Improved Hilbert-Huang Transformation and Energy Entropy.”.” Measurement 46 (4): 1385–1392. doi:10.1016/j.measurement.2012.12.010.
   Web of Science ®Google Scholar
• Himani, and R. Dahiya. 2017. “Condition Monitoring of Wind Turbine for Rotor Fault Detection under Non Stationary Conditions.” Ain Shams Engineering Journal in press. doi:10.1016/j.asej.2017.04.002.
   Web of Science ®Google Scholar
• Hou, J., B. J. Wickes, and R. A. Antoniou. 2000. “An Investigation of Fatigue Failures of Turbine Blades in a Gas Turbine Engine by Mechanical Analysis.” Engineering Failure Analysis 9 (2): 201–211. doi:10.1016/S1350-6307(01)00005-X.
   Web of Science ®Google Scholar
• Hu, B., and B. Li. 2014. “Blade Crack Detection of Centrifugal Fan Using Adaptive Stochastic Resonance.” Shock and Vibration 2015: 12 pages. doi:10.1155/2015/954932.
   Web of Science ®Google Scholar
• Huang, N. E., Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung, and H. H. Liu. 1998. “The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis.” Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Science 454 (1971): 903–995. doi:10.1098/rspa.1998.0193.
   Web of Science ®Google Scholar
• Jiang, H., C. Li, and H. Li. 2013. “An Improved EEMD with Multiwavelet Packet for Rotating Machinery Multi-Fault Diagnosis.” Mechanical Systems and Signal Processing 36 (2): 225–239. doi:10.1016/j.ymssp.2012.12.010.
   Web of Science ®Google Scholar
• Kim, H. S., Y. C. Bea, and H. Lee. 2005. “Identification of Failure Cause for 300 MW LP Turbine Blade through Vibration Analysis.” Transactions of Korean Society Noise and Vibration Engineering 15(9): 1100–1107. doi:10.5050/KSNVN.2005.15.9.1100.
   Google Scholar
• Kuo, R. J. 1995. “Intelligent Diagnosis for Turbine Blade Faults Using Artificial Neural Networks and Fuzzy Logic.” Engineering Applications of Artificial Intelligence 8 (1): 25–34. doi:10.1016/0952-1976(94)00082-X.
   Web of Science ®Google Scholar
• Lei, Y., J. Lin, Z. He, and M. J. Zuo. 2013. “A Review on Empirical Mode Decomposition in Fault Diagnosis of Rotating Machinery.” Mechanical Systems and Signal Processing 35 (1–2): 108–126. doi:10.1016/j.ymssp.2012.09.015.
   Web of Science ®Google Scholar
• Mallat, S. G. 1989. “A Theory for Multiresolution Signal Decomposition: The Wavelet Representation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 11 (7): 674–693. doi:10.1109/34.192463.
   Web of Science ®Google Scholar
• Meher Homji, C. B., and G. Gabries. 1998. “Gas Turbine Blade Failures-Causes, Avoidance, and Troubleshooting.” Proceedings of the 27th Turbomachinery Symposium, Houston, USA. doi: 10.21423/R1RD4R.
   Google Scholar
• Morlet, J., G. Arens, E. Fourgeau, and D. Girad. 1982a. “Wave Propagation and Sampling theory-Part I: Complex Signal and Scattering in Multilayered Media.” Geophysics 47 (2): 203–221. doi:10.1190/1.1441328.
   Web of Science ®Google Scholar
• Morlet, J., G. Arens, E. Fourgeau, and D. Girad. 1982b. “Wave Propagation and Sampling Theory-Part II: Sampling Theory and Complex Wave.” Geophysics 47 (2): 222–236. doi:10.1190/1.1441329.
   Web of Science ®Google Scholar
• Newland, D. E. 1994a. “Wavelet Analysis of Vibration, Part I: Theory.” Journal of Vibration and Acoustics 116 (4): 409–416. doi:10.1115/1.2930443.
   Web of Science ®Google Scholar
• Newland, D. E. 1994b. “Wavelet Analysis of Vibration, Part II: Wavelet Maps.” Journal of Vibration and Acoustics 116 (4): 417–425. doi:10.1115/1.2930444.
   Web of Science ®Google Scholar
• Nurbanasari, M., and Abdurrachim. 2014. “Crack of a First Stage Blade in a Steam Turbine.” Case Studies in Engineering Failure Analysis 2 (2): 54–60. doi:10.1016/j.csefa.2014.04.002.
   Google Scholar
• Saxena, S., J. P. Pandey, R. S. Solanki, G. K. Gupta, and O. P. Modi. 2015. “Coupled Mechanical, Metallurgical and FEM Based Failure Investigation of Steam Turbine Blade.” Engineering Failure Analysis 52: 35–44. doi:10.1016/j.engfailanal.2015.02.012.
   Web of Science ®Google Scholar
• Singh, S., and N. Kumar. 2014. “Combined Rotor Fault Diagnosis in Rotating Machinery Using Empirical Mode Decomposition.” Journal of Mechanical Sciences and Technologies 28 (12): 4869–4876. doi:10.1007/s1220.
   Web of Science ®Google Scholar
• Wu, Z., and N. E. Huang. 2009. “Ensemble Empirical Mode Decomposition: A Noise Assisted Data Analysis Method.” Advances in Adaptive Data Analysis 1 (1): 41 pages. doi:10.1142/S1793536909000047.
   Google Scholar
• Xu, D., Y. C. Xu, X. Chen, W. Zha, and X. Li. 2009. “Life Cycle Vibration Analysis Based on EMD of Rolling Element Bearing under ALT by Constant Stress.” Proceedings of the 8th International Conference on Reliability, Maintainability and Safety, Chengdu, China. doi: 10.1109/ICRMS.2009.5270070.
   Google Scholar
• Ziegler, D., M. Puccinelli, B. Bergallo, and A. Picasso. 2013. “Investigation of Turbine Blad E Failure in Thermal Power Plant.” Case Studies in Engineering Failure Analysis 1 (3): 192–199. doi:10.1016/j.csefa.2013.07.002.
   Google Scholar