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Spatial-temporal associations representation and application for process monitoring using graph convolution neural network. (arXiv:2205.05250v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Industrial process data reflects the dynamic changes of operation conditions,
which mainly refer to the irregular changes in the dynamic associations between
different variables in different time. And this related associations knowledge
for process monitoring is often implicit in these dynamic monitoring data which
always have richer operation condition information and have not been paid
enough attention in current research. To this end, a new process monitoring
method based on spatial-based graph convolution neural network (SGCN) is
proposed to describe …
application arxiv convolution convolution neural network graph monitoring network neural network process representation temporal