This paper elucidates the methodology of employing agent-based technique for detecting and diagnosing faults in chemical processes. The proposed agent methodology has been shown to be able to effectively combine various fault diagnosis methodology and exploit the capability of parallel computing technology in the process plants. We also show that the integration and collaboration among heteroge...

1 F. D. Rossini, Chem. Revs., 18, 233, 1936. 2 E. D. Eastman, Chem. Revs., 18,257, 1936. 8 T. Benzinger and C. Kitzinger, Federation Proc., 13, 11, 1954. C. Kitzinger and T. Benzinger, Z. Naturforsch., lOb, 375, 1955. 6 T. L. Hill and S. Aronoff, J. Chem. Educ., 20, 615,1943. While this paper was in press we found an earlier calorimetric determination of one equilibrium constant (mutarotation o...

The purpose of this article is to present a method for industrial process diagnosis with Bayesian network, and more particularly with Conditional Gaussian Network (CGN). The interest of the proposed method is to combine a discriminant analysis and a distance rejection in a CGN in order to detect new types of fault. The performances of this method are evaluated on the data of a benchmark example...

Statistics pattern analysis (SPA) is a new multivariate statistical monitoring framework proposed by the authors recently. It addresses some challenges that cannot be readily addressed by the commonly used multivariate statistical methods such as principal component analysis (PCA) in monitoring batch processes in the semiconductor industry. It was later extended to the monitoring of continuous ...

In this paper, a multivariate fault prognosis approach for continuous processes with hidden faults is proposed based on statistical process monitoring methods and multivariate time series prediction. It is assumed that the fault is a slowly time-varying autocorrelated process and can be completely reconstructed. Fault magnitude is estimated first via reconstruction, then predicted by a vector A...

In this paper, we present a Bayesian framework for fault detection. Principal component analysis (PCA) technique and quadratic test statistics are incorporated under a Conditional Gaussian Network (CGN). The proposed network, given an observation, is able to project it into an orthogonal space and to give a decision about the system state (faulty or not). The paper demonstrate, the probability ...

In this paper, a modified independent component analysis (ICA) and its application to process monitoring are proposed. The basic idea of this approach is to use the modified ICA to extract some dominant independent components from normal operating process data and to combine them with statistical process monitoring techniques. The proposed monitoring method is applied to fault detection and ide...

3Mortimer, J. Amer. Chem. Soc., 44, 1416 (1922); 45, 633 (1923). 4 Hildebrand, J. H., and Jenks, C. A., Ibid., 42, 2180 (1920); 43, 2172 (1921); cf. also Ref. 2, p. 148. 5 Dorfman, M., and Hildebrand, J. H., Ibid., 49, 729 (1927). 6 Cf. Hildebrand, J. H., and Glasscock, B. L., Ibid., 31, 26 (1909). 7 Porter, A. W., Trans. Faraday Soc., 16, 336 (1921). 8 Cf. Ref. 2, p. 48. 9 Taylor, N. W., J. Am...

1 DDS; Address: Av. Raja Gabaglia, 1000 / 1209 – Gutierrez – Belo Horizonte, MG – 30441-070 – Brazil. [email protected] +55 31 91625090 +55 31 32920997 2 DDS, Oral and Maxillofacial Surgeon, MS in Oral and Maxillofacial Surgery, PhD in Oral and Maxillofacial Surgery (Eastman Dental Institute, University College London). Address: Pontifícia Universidade Católica de Minas Gerais, Depart...

1.Eastman Kodak Company. 1990. Kodak professional black-and-white films. Kodak Publication F-5. Rochester, NY. 2.Frohlich, M.W. and E.M. Meyerowitz. 1997. The search for homeotic gene homologs in basal angiosperms and gnetales: a potential new source of data on the evolutionary origin of flowers. Int. J. Plant Sci. 158:S131-S142. 3.Hamilton, B.A., M.J. Palazzolo and E.M. Meyerowitz. 1991. Rapid...