Qualitative Process Automation

Quadratic Dynamic Matrix Control Qualitative Process Automation fractional weighting factor in EWMA regression correlation coefficient reference rate of resin curing... 

Abrams, F., et al. Qualitative Process Automation for Autoclave Curing of Composites, AFWAL-TR-87-4083, Interim Report for the Period 15 October-15 May 1987... 

LeClair, S.R., Abrams, F.L., Lagnese, T.J., Lee, C.W., Parks, J.B. Qualitative Process Automation for Autoclave Cure for Composite Parts, (1987) AFWAL-TR-87-4083, AFWAL/MLTC, Wright-Patterson AFB Ohio... 

LeClair, S. R. and Abrams, R, Qualitative process automation , Proceedings of the IEEE Conference on Decision and Control Including the Symposium on Adaptive Processes, 1(3), 1988, 558-563. 

S.S. Sekulic, J. Wakeman, P. Doherty and P.A. Hailey, Automated system for the on-line monitoring of powder blending processes using near-infrared spectroscopy Part II. Qualitative approaches to blend evaluation, J. Pharm. Biomed. Anal, 17, 1285-1309 (1998). 

Fuzzy models may be slightly more difficult to program and develop than qualitative models, but they share all of the advantages. In addition, they provide smoother control. This may be a particular advantage in processes that require more rapid control decisions than autoclave curing. The cost of developing these controllers is relatively low and the data required to develop them is usually available from the development of the original process plan. Further, neural networks can be used to automate the development of control-process relationships. 

The application of this concept to liquid samples is what we already refer to electronic tongue . It entails the use of multidimensional information coming from an array of chemical sensors, mimicking the animal sense of taste. As several possibilities exist on the side of which sensors form the array, the general response shown by the different sensors used is of paramount importance that is, cross-selectivity features are needed in order to profit from the multidimensional aspects of the information [7]. The performance of electronic tongues can be suited not only to qualitative purposes like identification of species and classification of sample varieties, but also to quantitative uses, normally the multidetermination of a set of chemical species, an interesting objective for process control. A more bioinspired trend is the artificial taste [8] in order to perform automated taste perception, especially in the industrial field. 

One of the critical steps in qualitative and quantitative analysis is the sample preparation procedure. Sample preparation step can affect specificity, sensitivity, accuracy, precision, and throughput of a bioanalytical procedure. In addition to development and optimization of the chemistry involved in sample processing, the use of semiautomated or fully automated protocols has been... 

Recently the ICDD Powder Diffraction File underwent a substantial and useful upgrade calculated patterns based on single crystal data from the ICSD file have been included into the PDF-2/PDF-4 Full File calculated patterns of structures stored in the CSD file, have been included into the PDF-4 Organics (see Table 4.3). These additions make it possible to conduct searches and find matches with computed digitized powder patterns in addition to experimentally measured powder diffraction data, thus improving automation, simplifying phase identification process and considerably expanding the applicability of the powder method for a qualitative phase analysis. 

Expert Systems as "Automated Documents." Sometimes a user needs to make a decision based upon the consideration of categorical or qualitative information, rather than calculations involving numerical parameters. Expert Systems comprise several types of computer programs that address this type of information. Risk Assistant will contain a variety of small expert systems that assist users in different aspects of the risk assessment process. 

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