Multivariate Monitoring with GPS Observations and Auxillary Multisensor Data |
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| Authors: | Clement Ogaja Jinling Wang Chris Rizos James Brownjohn |
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| Institution: | (1) School of Surveying and Spatial Information Systems (formerly School of Geomatic Engineering), University of New South Wales, Australia, AU;(2) School of Civil and Structural Engineering, Nanyang Technological University, Singapore, SG |
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| Abstract: | In a multisensor measurement or monitorin environment, p variables are measured simultaneously. The measured data are correlated
and can be monitored to identify special causes of variation in order to establish control and to obtain reference samples
to use as a basis in determining the control limits for future observations. One common method is to construct a multivariate
control chart based on Hotelling's T2 statistic. When the monitoring process is at the start-up stage, F and chi-square distributions are used to construct the
necessary control limits. An example from a seven-day GPS data sample measured concurrently with the accelerometer response,
wind velocity and temperature illustrates that this technique can improve the interpretation of GPS results. Moreover, the
computational complexity is reduced through a reduction in the data dimensionality. ? 2002 Wiley Periodicals, Inc. |
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