This paper presents a filter design technique for a pneumatic valve using
data fusion techniques. The objective of this paper is to examine the
suppression of the effect of parameters causing deviation from normal system
performance using the technique of data fusion over time. The output of a
system affected by inherited noise is processed by applying operations such
as finding the statistical variance, time warping, interpolation, and
extrapolation. These techniques are used to compute the transfer function of
the filter, which when cascaded with the system will suppress the effect of
noise on the process. The operation of the control valve is affected by
characteristics such as stiction, structural deformation, etc. The
characteristics of the system are studied and data for multiple time
instances are extracted to carry out fusion across time by dynamic time
warping. Tests show that the filter presented here can suppress the effects
of stiction and mechanical deformation on the output signal.
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