Thesis (M. Sc.)--University of Alberta, 2009. / Title from PDF file main screen (viewed on Aug. 25, 2009). "A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science in Process Control, Department of Chemical and Materials Engineering, University of Alberta." Includes bibliographical references.

Diss. Stockholm : Handelshögsk.

Textured surfaces are universally adopted in the steel sheet production industry, and manufacturers are continuously improving the quality of the finished products through intense research in the surface characterisation field. Deterministic Surfaces are textured with specifically designed rolls in order to present a certain degree of regularity, which allows better control over the functional behaviour of the metal sheets. The regularity of the texture impressed on the steel sheets also allows unconventional approaches to surface characterisation and to the assessment of the texture's structure. Statistical analysis is the most effective way to target the isolation of the deterministic part of the surface, which represents the desired product, from the stochastic part, called ‘noise’ and associated with the inaccuracies of production and measurement. This work addresses the problem of characterisation of deterministic textures through statistical analysis, proposing innovative filtering techniques aimed at the realisation of an On-line Process Control System. Firstly the techniques proposed are theoretically formulated and studied, addressing in particular the physical meaning of the geometrical parameters extracted through statistical analysis of highly correlated portions of the textures. A method for isolating the deterministic textures present on a surface, called the Statistical Surface Filter, is presented and discussed in detail, and tested on existing laboratory samples. Secondly the filter is applied to preliminary measurements acquired by an innovative on-line measurement system currently under development, and evidence is shown that the technique is effective in separating the information regarding the regular patterns from the stochastic noise. The possible applications to on-line Statistical Process Control are discussed. Thirdly, the Statistical Surface Filter is tested on a set of measurements representing texturing rolls and textured sheets with different characteristics; statistical analysis of the surface parameters extracted from the filtered surfaces show that the technique allows the assessment of the different contributions of the various stages of the texturing process to the final product. Finally, a software package is implemented for the practical application of the filtering techniques and the parameters extraction; the algorithms that perform the statistical filtering are described and discussed, concluding with the operations of optimisation and fine-tuning for production-line implementation.

In manufacturing industrial, for example, petrochemical plant, the promotion of technology makes manufacturing process computerization to be possible. The systems which control the manufacturing process are called Process Control System. Enterprises introduce the projects of process improvement to reduce the operation cost and enhance the product quality. It is necessary to have comprehensive information and technology to support the success of project for process improvement. Thus, it is a trend to setup the connections among Process Control Network, Process Information Network and Intranet. Due to the connections among networks, Process Control System is facing the threats of computer viruses, worms, attackers, and other malicious codes. Process Control System controls the manufacturing process base on the instructions issued from operators to maintain plant operations in a safe condition. Process Control System is the kernel of process operations. If Process Control System is being attacked or infected by computer viruses, the impacts would be the disclosure of critical business information, the failure of servers/workstations for monitoring process, or Process Control System fails totally that result in the plant operations with risky. The worst case would be an incident about pollution of environment, explosion, properties destroyed, or life lost. Therefore, enterprise should focus on reinforcing the information security mechanism of Process Control System to ensure plant operations reliably and safely. The objectives of this study are: a) To realize the challenges and threats that Process Control System is facing by the way of literature review. b) To discuss information security management related issues and resolutions of Process Control System base on physical, network, and servers respectively. c) To discuss the efficiency of the model of information security management that has been implemented in the enterprise. d) To make this study as a reference for related industries.

Thesis (Ph. D.)--University of Sydney, 1996. / Title from title screen (viewed on February 3, 2009) Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the Dept. of Chemical Engineering. Degree awarded 1996, thesis submitted 1995. Includes bibliographical references. Also issued in print.