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This report results from a contract tasking St. Petersburg Institute for Informatics & Automation of the Russian Academy of Sciences as follows: The contractor will investigate knowledge engineering as applied to system diagnostics by rigorous mathematical justification for already existing diagnostic procedures utilizing statistical clustering and Bayes' technique. A software package implementing cluster analysis of statistical data, including selection and evaluation of particular subspaces in the factor space, and facilitating definition of cluster models will be developed. The software will utilize computer graphics to facilitate previewing of the clustering pattern in particular subspaces. Applications of Algebraic Bayes' Network approach to various classes of applications of experts' analysis techniques to diagnostics related problems will be considered. Further, a software tool and numerical examples utilizing model data, demonstrating the concept, will be developed. In addition, applications of classical regression analysis to such problems of diagnostics as estimation of remaining life expectancy of hardware subjected to adverse effects, and analysis of combined effects of several adverse conditions of hardware failure will be subjected to analysis, and implemented in software. A software tool and numerical examples utilizing model data, demonstrating the concept, will be developed.

This report results from a contract tasking St. Petersburg Institute for Informatics & Automation of the Russian Academy of Sciences as follows: The contractor will investigate knowledge engineering as applied to system diagnostics by rigorous mathematical justification for already existing diagnostic procedures utilizing statistical clustering and Bayes' technique. A software package implementing cluster analysis of statistical data, including selection and evaluation of particular subspaces in the factor space, and facilitating definition of cluster models will be developed. The software will utilize computer graphics to facilitate previewing of the clustering pattern in particular subspaces. Applications of Algebraic Bayes' Network approach to various classes of applications of experts' analysis techniques to diagnostics related problems will be considered. Further, a software tool and numerical examples utilizing model data, demonstrating the concept, will be developed. In addition, applications of classical regression analysis to such problems of diagnostics as estimation of remaining life expectancy of hardware subjected to adverse effects, and analysis of combined effects of several adverse conditions of hardware failure will be subjected to analysis, and implemented in software. A software tool and numerical examples utilizing model data, demonstrating the concept, will be developed.

This survey assesses the current use and development of expert systems for approaching and solving Civil Engineering problems. The engineering disciplines discussed are: Construction Engineering and Management, Structural Engineering, Geotechnical and Environmental Engineering, and Transportation Engineering. Expert system applications for both operational and developmental uses are reviewed. Although artificial intelligence technology is relatively new for some disciplines, the survey results indicate a long term commitment to research and development of expert systems for construction. Expert systems offer new and potentially valuable capabilities to support decisionmaking in Civil Engineering, with the goal of reducing costs.

This survey assesses the current use and development of expert systems for approaching and solving Civil Engineering problems. The engineering disciplines discussed are: Construction Engineering and Management, Structural Engineering, Geotechnical and Environmental Engineering, and Transportation Engineering. Expert system applications for both operational and developmental uses are reviewed. Although artificial intelligence technology is relatively new for some disciplines, the survey results indicate a long term commitment to research and development of expert systems for construction. Expert systems offer new and potentially valuable capabilities to support decisionmaking in Civil Engineering, with the goal of reducing costs.

This survey assesses the current use and development of expert systems for approaching and solving Civil Engineering problems. The engineering disciplines discussed are: Construction Engineering and Management, Structural Engineering, Geotechnical and Environmental Engineering, and Transportation Engineering. Expert system applications for both operational and developmental uses are reviewed. Although artificial intelligence technology is relatively new for some disciplines, the survey results indicate a long term commitment to research and development of expert systems for construction. Expert systems offer new and potentially valuable capabilities to support decisionmaking in Civil Engineering, with the goal of reducing costs.