Report (M.S.)--Virginia Polytechnic Institute and State University. M.S. 1992. / Abstract. Includes bibliographical references (leaves 94-97). Also available via the Internet.

In this thesis, three model-based methods are presented for finding the location of a point source with possibly time-varying strength for a class of distributed parameter systems. The first method involves off-line numerical computation of the time-response data at the sensor(s) from all possible source locations and functions of source strength, and comparison of these data with actual measurements. The second method involves approximation of the infinite-dimensional distributed parameter system by a finite-dimensional lumped parameter system: the partial differential and/or integral equations describing the distributed parameter system are replaced by a set of ordinary differential equations, which are obtained through finite difference or finite element methods. The resulting model is used to construct an auto-regressive (AR) filter that takes the sensor data as inputs and produces a scalar output whose value determines the source location. The third method involves off -line steady-state solution of an adjoint problem based on the dual system model. The solutions are used to construct localization functions whose contours, corresponding to a set of sensor data, provide an estimate of the source location. For each method, the sensor data evaluation algorithm is presented, and analysis is given of appropriate sensor placement and the minimal required number of sensors. The robustness of each method to sensor noise and modeling inaccuracies is studied, and techniques to improve robustness are discussed. These techniques include strategic sensor placement to reduce sensitivity to noise and modeling inaccuracies, and prioritization of sensor data in the data evaluation algorithms. In all three methods, a minimal amount of on-line computation is required. The methods are applied to the two-dimensional heat conduction problem with Robin's boundary conditions, and their performances are tested via computer simulations. The thesis concludes with a discussion of the relative strengths and shortcomings of each method and suggestions for future research. / Graduation date: 1999

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Thesis (Ph. D.)--University of Texas at Austin, 2002. / Vita. Includes bibliographical references. Available also from UMI Company.

Thesis (Ph. D.)--University of Texas at Austin, 2001. / Vita. Includes bibliographical references. Available also in a digital version from UMI/Dissertation Abstracts International.

Thesis (Ph.D.)--City University of Hong Kong, 2009. / "Submitted to Department of Manufacturing Engineering and Engineering Management in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 167-187)

Thesis (Ph.D.) - University of Glasgow, 2008. / Ph.D. thesis submitted to the Faculty of Information and Mathematical Sciences, University of Glasgow, 2008. Includes bibliographical references. Print version also available.

Advances in technology have led to fully integrated operator consoles which offer a broad range of solutions. Industry's move towards networking has resulted in the operator consoles being located at critical sites throughout the plant-floor. However, a lot of programming effort is required in order to use these consoles effectively. <p>The project addressed the problem by developing a software interface for the future user in a distributed automation environment. The system developed is capable of operating on IBM industrial computers, connected through a communications network on a DAE environment. By using the functions provided, the future user is insulated from the lower level control sequences of the operator interface and need only be concerned about the operation of these functions. <p>A description of the development of each phase project is given, and the purpose and operation subroutines are also presented in this report. / Master of Science

This dissertation develops two new techniques for the identification of parameters in distributed-parameter systems. The first technique identifies the physical parameter distributions such as mass, damping and stiffness. The second technique identifies the modal quantities of self-adjoint distributed-parameter systems. Distributed structures are distributed-parameter systems characterized by mass, damping and stiffness distributions. To identify the distributions, a new identification technique is introduced based on the finite element method. With this approach, the object is to identify "average" values of mass, damping and stiffness distributions over each finite element. This implies that the distributed parameters are identified only approximately, in the same way in which the finite element method approximates the behavior of a structure. It is common practice to represent the motion of a distributed parameter system by a linear combination of the associated modes of vibration. In theory, we have an infinite set of modes although, in practice we are concerned with only a finite linear combination of the modes. The modes of vibration possess certain properties which distinguish them from one another. Indeed, the modes of vibration are uncorrelated in time and orthogonal in space. The modal identification technique introduced in this dissertation uses path these spatial properties. Because both the temporal and spatial properties are used, the method does not encounter problems when the natural frequencies are closely-spaced or repeated. / Ph. D.