Publications: Islam, Md Mominul

Journal Article

Islam, M.M., Lee, G. and Hettiwatte, S.N. (2018) Application of parzen window estimation for incipient fault diagnosis in power transformers. High Voltage, 3 (4). pp. 303-309.

Islam, M.M., Lee, G. and Hettiwatte, S.N. (2017) Application of a general regression neural network for health index calculation of power transformers. International Journal of Electrical Power & Energy Systems, 93 . pp. 308-315.

Islam, M.M., Lee, G., Hettiwatte, S.N. and Williams, K. (2017) Calculating a health index for power transformers using a Subsystem-based GRNN Approach. IEEE Transactions on Power Delivery, 33 (4). pp. 1903-1912.

Islam, M.M., Lee, G. and Hettiwatte, S.N. (2017) A review of condition monitoring techniques and diagnostic tests for lifetime estimation of power transformers. Electrical Engineering, 100 (2). pp. 581-605.

Islam, M.M., Lee, G. and Hettiwatte, S.N. (2016) A nearest neighbour clustering approach for incipient fault diagnosis of power transformers. Electrical Engineering, 99 (3). pp. 1109-1119.

Conference Paper

Islam, M.M., Lee, G. and Hettiwatte, S.N. (2017) Missing measurement estimation of power transformers using a GRNN. In: Australasian Universities Power Engineering Conference (AUPEC) 2017, 19 - 22 November 2017, Melbourne, VIC

Islam, M.M., Lee, G. and Hettiwatte, S.N. (2016) Incipient fault diagnosis in power transformers by clustering and adapted KNN. In: Australasian Universities Power Engineering Conference (AUPEC) 2016, 25 - 28 September 2016, University of Queensland, Brisbane

Thesis

Islam, Md Mominul (2017) Development of a quantitative health index and diagnostic method for efficient asset management of power transformers. PhD thesis, Murdoch University.