Marjan Momtazpour, Jinghe Zhang, Saifur Rahman, Ratnesh Sharma, Naren Ramakrishnan

Abstract

The analysis of large scale data logged from complex cyber-physical systems, such as microgrids, often entails the discovery of invariants capturing functional as well as operational relationships underlying such large systems. We describe a latent factor approach to infer invariants underlying system variables and how we can leverage these relationships to monitor a cyber-physical system. In particular we illustrate how this approach helps rapidly identify outliers during system operation.

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Naren Ramakrishnan


Publication Details

Date of publication:
September 16, 2015
Conference:
SIGKDD international conference on Knowledge discovery and data mining
Publisher:
Association for Computing Machinery (ACM)
Page number(s):
2009--2018