Prognosis of Failure Time in Gas Turbines regarding multi time scales

Subject Areas : Forecasting

Tahminre Ashouri Moghadam ¹ ( Industrial Engineering Department, South Tehran Branch, Islamic Azad University, Tehran, Iran )
Rasool Noorossana ² ( Iran University of Science and Technology Tehran,Iran )
Sadigh Raissi ³ ( Industrial Engineering Department, South Tehran Branch, Islamic Azad University, Tehran, Iran )

Received: 2021-05-16 Accepted : 2021-11-04 Published : 2021-12-01

Keywords:

References:

[1] Li, Y.G., Nilkitsaranout, P. (2009). Gas turbine performance prognostic for condition-based maintenance. Applied Energy 86, 2152– 2161.

[2] Brotherton T, Grabill P, Wroblewski D, Friend R, Sotomayer B, Berry J. A testbed for data fusion for engine diagnostics and prognostics. In: Aerospace conference proceedings, 2002 IEEE, vol. 6; 2002. p. 3029–42.

[3] Tsui, K.L., Chen, N, Zhou, Q., Hai, Y., Wang, W. (2015). Prognostics and Health Management: A Review on Data Driven Approaches. Mathematical Problems in Engineering. ID 793161, 17 P.

[4] Xi, Z., Jing, R., Wang, P., & Hu, C. (2014). A copula-based sampling method for data-driven prognostics. Reliability Engineering & System Safety, 132, 72-82.

[5] Kalbfleisch, J. D., & Prentice, R. L. (2011). The statistical analysis of failure time data (Vol. 360). John Wiley & Sons.

[6] Song, S., Coit, D.W., Feng, Q., & Peng, H. (2014). Reliability analysis for multi-component systems subject to multiple dependent competing failure processes. Reliability, IEEE Transactions on, 63, 331–345.
[7] Kleinbaum, D., & Klein, M. (2011). Survival analysis: A selflearning text, 2005. New York  Springer-Verlag.
[8] Zhang, Q., Hua, C., & Xu, G. (2014). A mixture Weibull proportional hazard model for mechanical system failure prediction utilizing lifetime and monitoring data. Mechanical
Systems and Signal Processing, 43, 103–112.

[9] Liu, X., Li, J., Al-Khalifa, K. N., Hamouda, A. S., Coit, D. W., & Elsayed, E. A. (2013). Condition-based maintenance for continuously monitored degrading systems with multiple failure modes. IIE Transactions, 45, 422–435.
[10] Ragab, A., Yacout, S., Ouali, MS. et al. (2019). Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions. J Intell Manuf 30, 255– 274.
[11] Noorossana. R., Sabri-Laghaie. K. (2015). System reliability with multiple failure modes and time scales. Quality and reliability engineering international, 1-18.
[12] Singpurwalla, N.D. and Wilson. S. P. (1998). Failure models indexed by two scales .Advances in Applied Probability. 30(4): p. 1058- 1072.