[1] T. K. Saha, "Review of Modern Diagnostic techniques for Assessing Insulation Condition Aged Transformers," IEEE Transaction on Dielectrics and Electrical Insulation, vol. 10, pp. 903-917, 2003.
[2] Hasmat Malik, A.Z and S.M, "Artificial Intelligence Techniques for Incipient Faults Diagnosis and Condition Assessment in Transformer" in Proc. Inter. Conf. on Emerging Trends in Engineering ISBN 978-93-81195-07-9, 2011, pp.5-8.
[3] ASTM D6802-02 (Reapproved 2010) standards; "Test Method for Determination of the Relative Content of Dissolved Decay Products in Mineral Insulating Oils by Spectrophotometry".
[4] Manual T90/T90+ "UV/VIS Spectrophotometer" [PG Instrument] TIFAC-CORE "NIT-HAMIRPUR.
[5] U. Mohan Rao, A.Pramoda & D.Vijay Kumar, "Decision Tree Based UV/VIS Response To Access the age of Transformer Oil" International Journal of Power System Operation and Energy Management, ISSN (PRINT): 2231–4407, Volume-1, Issue-2, 2011.
[6] MATLAB R2009b version 7.9.0.529.
[7] A. Abu-Siada, Lai Sin Pin, and Syed Islam, "Remnant Life Estimation of Power Transformer using Oil UV Vis Spectral Responses" Paper accepted for presentation at IEEE PSCE 09 that held in USA, March, 2009.
[8] S. M. Islam, T. Wu, G. Ledwich, "A Novel Fuzzy Logic Approach to Transformer Fault Diagnosis," IEEE Transaction on Dielectric and Electrical Insulation, Vol.7 No. 2,April 2000, pp. 177-186.
[9] A.Abu-Siada, M. Arshad, and S. Islam, "Fuzzy Logic Approach to Identify Transformer Criticality using Dissolved Gas Analysis," 978-1-4244-6551-4/10/©2010 IEEE.
[10] Hasmat Malik, S.M, R.K. Jarial, YRS, "Application and Implementation of Artificial Intelligence in Electrical System" published in international conference on Advances in Computing & Communication (ICACC-2011) ISBN 978-81-920874-0-5, Sponsored by IEEE-MTTS, pp. 499-505.