论文信息 - Visualization of Spacecraft Data Based on Interdependency Between Changing Points in Time Series

Visualization of Spacecraft Data Based on Interdependency Between Changing Points in Time Series

A support technology for spacecraft operators is one of the important themes for reliable operation. We suggest a framework for visualization of relations among sequences based on "changing points". First, we employ auto-regression model for detecting changing points from data. And next, we apply a structure learning of dynamic Bayesian net to the change-detected data for getting the graph structure, which stands for dependency among sequences. We applied this approach to two kinds of actual telemetry data of a communication satellite, and verified graph structures rightly showed the relation among sequences

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