I approached this research as a director wanting to examine the possibility of presenting Ibsen's A Doll House and Hedda Gabler to a Malaysian audience.
This research is about enhancement of PCA-based fault detection system through utilizing dissimilarity matrix. Nowadays, the chemical process industry is highly based on the non-linear relationships between measured variables. However, the conventional PCA-based MSPC is no longer effective because it only valid for the linear relationships between measured variables. Due in order to solve this problem, the technique of dissimilarity matrix is used in multivariate statistical process control as alternative technique which models the non-linear process and can improve the process monitoring performance. The conventional PCA system was run and the dissimilarity system was developed and lastly the monitoring performance in each technique were compared and analysed to achieve aims of this research. This research is to be done by using Matlab software. The findings of this study are illustrated in the form of Hotelling's T2 and Squared Prediction Errors (SPE) monitoring statistics to be analysed. As a conclusion, the dissimilarity system is comparable to the conventional method. Thus can be the other alternative ways in the process monitoring performance. Finally, it is recommended to use data from other chemical processing systems for more concrete justification of the new technique.
This project is about to study the effect of projectile travelling at hypervelocity onto solid metal target. The method is used to control the projectile speed by using explosion in different mass of commercial explosive as an explosion material. The amount of explosive will give impact to projectile to accelerate at hypervelocity and hit the target after explosion happend. The parameter setting such as amount of explosive, material and shape of projectile, material of solid metal target and shaped charge play an important role to control the pressure after an explosion.
