Cyclical Electromechanical Error Denial System Using Matrix Profile
Peter Bowman-Davis, Gary Laski

TL;DR
This paper introduces CEEDS, a control system leveraging Matrix Profile for analyzing and suppressing cyclical errors in electromechanical systems, enabling adaptive, low-cost error control suitable for embedded applications.
Contribution
It demonstrates the novel application of Matrix Profile to electromechanical error suppression and develops a practical control algorithm for embedded systems.
Findings
Matrix Profile effectively detects cyclical errors
CEEDS reduces electromechanical errors in tested systems
Low computational cost enables embedded implementation
Abstract
We propose that the Matrix Profile data structure, conventionally applied to large scale time-series data mining, is applicable to the analysis and suppression of cyclical error in electromechanical systems, paving the way for an intelligent family of adaptable control systems which respond to environmental error at a computational cost low enough to be practical in embedded applications. We construct and evaluate the efficacy of a control algorithm utilizing the Matrix Profile, which we call Cyclical Electromechanical Error Denial System (CEEDS).
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Taxonomy
TopicsFault Detection and Control Systems · Neural Networks and Applications · Time Series Analysis and Forecasting
