Methodology for Optimum Sensor Locations for Parameter Identification in Dynamic Systems
Publication: Journal of Engineering Mechanics
Volume 120, Issue 2
Abstract
This paper provides a methodology for optimally locating sensors in a dynamic system so that data acquired from those locations will yield the best identification of the parameters to be identified. It addresses the following questions: (1) Given sensors, where should they be placed in a spatially distributed dynamic system so that data from those locations will yield best estimates of the parameters that need to be identified?; and (2) given that we have already installed sensors in a dynamic system, where should the next be located? The methodology is rigorously founded on the Fisher information matrix and is applicable to both linear and nonlinear systems. A rapid algorithm is provided for use in large multi‐degree‐of‐freedom systems. After developing the general methodology, the paper goes on to develop the method in detail for a linear , classically damped, system. Numerical examples are provided and it is verified that the optimal placement of sensors, as dictated by the methodology that is developed, could provide significantly improved estimates of the parameters to be identified.
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Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 120 • Issue 2 • February 1994
Pages: 368 - 390
Copyright
Copyright © 1994 American Society of Civil Engineers.
History
Received: Jan 11, 1991
Published online: Feb 1, 1994
Published in print: Feb 1994
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