Spectral Graph Analysis for Process Monitoring

Process monitoring is a fundamental task to support operator decisions under ab- normal situations. Most process monitoring approaches, such as Principal Components Analysis and Locality Preserving Projections, are based on dimensionality reduction. In this paper Spectral Graph Analysis Monitoring (SGAM) is introduced. SGAM is a new process monitoring technique that does not require dimensionality reduction techniques. The approach it is based on the spectral graph analysis theory. Firstly, a weighted graph representation of process measurements is developed. Secondly, the process behavior is parameterized by means of graph spectral features, in particular the graph algebraic connectivity and the graph spectral energy. The developed methodology has been illustrated in autocorrelated and non-linear synthetic cases, and applied to the well known Tennessee Eastman process benchmark with promising results.Fil: Musulin, Estanislao. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentin

Sensor Selection and Optimization for Health Assessment of Aerospace Systems

Aerospace systems are developed similarly to other large-scale systems through a series of reviews, where designs are modified as system requirements are refined. For space-based systems few are built and placed into service. These research vehicles have limited historical experience to draw from and formidable reliability and safety requirements, due to the remote and severe environment of space. Aeronautical systems have similar reliability and safety requirements, and while these systems may have historical information to access, commercial and military systems require longevity under a range of operational conditions and applied loads. Historically, the design of aerospace systems, particularly the selection of sensors, is based on the requirements for control and performance rather than on health assessment needs. Furthermore, the safety and reliability requirements are met through sensor suite augmentation in an ad hoc, heuristic manner, rather than any systematic approach. A review of the current sensor selection practice within and outside of the aerospace community was conducted and a sensor selection architecture is proposed that will provide a justifiable, dependable sensor suite to address system health assessment requirements

STATISTICS, IONIZATION POTENTIAL, AND PERTURBATION THEORY.

$^{1}$ G. Glockler, Phys. Rev., 46, 111 (1934).Author Institution: Department of Chemistry, Southern Illinois UniversityThe $Glockler^{1}$ formula for ionization potential is subjected to a reappraisal using modern data and computers. The appraisal method is based upon the use of statistical tests which have not commonly been applied to chemical problems. Thus, this investigation represents an evaluation of new techniques in quantum chemistry as well as the development of a superior relationship between ionization potential and atomic number. The statistical tests are used to develop a new empirical equation relating ionization potential to atomic number. The new empiricism is compared to previous empirical and semi-empirical investigations. Perturbation techniques are used to indicate a possible rationale for the appearance of unusual functional terms in the new empirical relationship

Effects of a fan shutdown on a radon concentration in a positive pressure ventilated mine /

Bibliography: p. 10.Mode of access: Internet

Application of insurance modelling tools to climate change adaptation decision-making relating to the built environment

Decision-making concerned with managing the possible increased risk of disasters arising from climate change requires tools to forecast changes in disaster risk with time. These changes will be a function of the projected changes not only in weather-related hazard activity due to climate change but also in the vulnerability of the built environment and the aggregate value of assets exposed due to the growth of communities and associated increased concentrations of wealth. Tools developed for the insurance industry over the past three decades to assist decision-makers in estimating and managing catastrophe insurance risk can be adapted to assess the impact of these changes. This paper presents a probabilistic method for undertaking cost–benefit analyses of proposed building adaptation measures using these insurance-based models. The approach accounts for the direct and indirect cost of disasters on a community, including the transfer of risk through insurance and the associated aleatory and epistemic risks. A simplified hypothetical case study focussed on the impact of potential changes to structural design standards for tropical cyclone winds is presented to demonstrate the application of the proposed approach.13 page(s

Effects of the diurnal cycle and fan shutdowns on radon concentration in an experimental uranium mine /

Bibliography: p. 13.Mode of access: Internet