Issue 46

M. F. M. Yunoh et alii, Frattura ed Integrità Strutturale, 46 (2018) 84-93; DOI: 10.3221/IGF-ESIS.46.09 93 [8] Purushotham, V., Narayanan, S. and Prasad, S. A. N. (2005). Multi-fault diagnosis of rolling bearing elements using Wavelet analysis and hidden Markov model-based fault recognition, NDT & E International, 38, pp. 654-664. [9] Oh, C. S. (2001). Application of Wavelet transform in fatigue history editing, International Journal of Fatigue, 23(3), pp. 241-250. [10] Piotrkowski, R.,Castro, E and Gallego, A. (2009). Wavelet power, entropy and bispectrum applied to AE signals for damage identification and evaluation of corroded galvanised steel, Mechanical System and Signal Processing, 23(2), pp. 432-445. [11] Sun, Q., Dui, H. N. and Fan, X. L. (2014). A statistically consistent fatigue damage model based on Miner’s rule, International Journal of Fatigue, 69, pp. 16-21. [12] Dowling, N. E. (2013). Mechanical Behavior of Materials, 4th ed.: Pearson Education Limited. [13] Ince, A. and Glinka, G. A modification of Morrow and Smith-Watson-Topper mean stress correction models, Fatigue Fracture Engineering Materials and Structure, 34, pp. 854-867. [14] Sivapragash, M., Lakshminarayanan, P. R., Karthikeyen, R., Raghukanda, K. and Hanumantha, M. (2008). Fatigue life prediction of ZE41A magnesium alloy using Weibull distribution, Material & Design, 29 pp.1549–53. [15] Shalabh G, Dheeraj S.S, Asok R. Statistical pattern analysis of ultrasonic signals for fatigue damage detection in mechanical structures, NDT & E International, 41, pp. 491-500. [16] Li W, Sakai T, Wang P. (2011). Statistical analysis of fatigue crack growth behavior for grade B cast steel. Material and Design, 32, pp. 1262-1272. [17] Yunoh, M. F. M., Abdullah, S., Saad, M. H. M., Nopiah, Z. M. and Nuawi, M. Z. (2014). Fatigue time history analysis for determining the strain signal behavior, International Journal Vehicle System Modelling and Testing, 9 (3/4), pp.363- 371. [18] Glodez, S., Sori, M., and Kramberger. J. (2013). Prediction of micro-crack initiation in high strength steels using Weibull distribution. Engineering Fracture Mechanics, 108, pp. 263-274. [19] Finkelstein, M. (2009). Understanding the shape of the mixture failure rate (with engineering and demographic applications), Applied Stochastic Models in Business and Industry, 25(6): 643-663. [20] Xianmin, C., Qin, S., Hongna, D. and Junling, F. (2016). A statistically self-cnsistent fatigue damage accumulation model including load sequence effects under spectrum loading, Frattura ed Integrita Strutturale, 38, pp. 319-330.