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dr azwan


Qualifications: B.Eng. M.Sc. (USM), Ph.D. (UM)
Expertise:Process Safety, Fault Detection and Diagnosis, Neural Network & Artificial Intelligence


    1. Norazwan Md Nor, Mohd Azlan Hussain, Che Rosmani Che Hassan, Fault Detection and Diagnosis Framework Using Multi-scale Classification Based on Kernel Fisher Discriminant Analysis with SVM Method, (2017) Applied Soft Computing, 61: 959-972, DOI:10.1016/j.asoc.2017.09.019.
    2. Norazwan Md Nor, Mohd Azlan Hussain, Che Rosmani Che Hassan, Fault Diagnosis based on Multi-scale Classification Using Kernel Fisher Discriminant Analysis and Gaussian Mixture Model and K-Nearest Neighbor Method, (2017) Jurnal Teknologi, 79:5-3, pp. 89-96, DOI:10.11113/jt.v79.11332
    3. Nor N. M., Hussain M., Che Hassan C., Process Monitoring and Fault Detection in Non-Linear Chemical Process Based On Multi-Scale Kernel Fisher Discriminant Analysis (2015), Computer Aided Chemical Engineering, Volume 37, Pages 1823-1828
    4. Ayodele O, Auta H, Md Nor N, Artificial neural networks, optimization and kinetic modeling of amoxicillin degradation in photo-fenton process using aluminum pillared montmorillonite-supported ferrioxalate catalyst (2012), Industrial and Engineering Chemistry Research, Volume 51, Issue 50, Pages 16311-16319
    5. W.L. Tan, N.M. Nor, M.Z. Abu Bakar, Z. Ahmad, S.A. Sata, Optimum Parameters for Fault Detection and Diagnosis System of Batch Reaction Using Multiple Neural Networks (2012), Journal of Loss Prevention in the Process Industries, 25(1), pp. 138-141
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