VASC Seminar Announcement
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Date: Tuesday, 5/8/01
Time: 3:30-4:40
Place: NSH 3002

Speaker: Pragyana K Mishra, Robotics Institute, CMU
Title: Building Smart Matter Diagnostic Environments

Abstract:

Intelligent environments of the future will have large networks of
various types of sensors. These sensors capture various events and
disturbances in their own special ways. The amount of data collected
from such a network of sensors is not only varied but large. I propose
a hierarchical approach of clustering and selecting sensor data to
fuse information for monitoring and diagnostics.

My work at Xerox, PARC on diagnostic systems for processing vibration
data from distributed sensors discusses the problems that most 
researchers in the areas of Smart Matter Diagnostics are facing today.
Physical phenomena manifest in different modalities for different 
sensors and it very interesting to study how these varied data can 
be fused for event monitoring, failure prediction and, remote diagnosis
and repair. Several concepts such as gabor transformations for
analyzing non-stationary signals, calculation of cross entropy to align
signals, learning vector quantization for classifying features have been
used to cluster data from sensors randomly attached to machines.
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