A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes.

Mohammad Samie Tootooni,Prahalad K. Rao,Chun-An Chou,Zhenyu James Kong

IEEE Transactions on Automation Science and Engineering（2018）

引用 40|浏览6

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摘要

The objective of this paper is to monitor complex process dynamics manifest in multivariate (multidimensional) time series data using a spectral (algebraic) graph theoretic approach. We test the hypothesis that the spectral graph-based topological invariants detect incipient process drifts earlier [lower average run length (ARL1)] and with higher fidelity (consistency of detection) when compared w...

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关键词

Monitoring,Feature extraction,Time series analysis,Wavelet transforms,Context,Artificial neural networks,Control charts

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