ANOMALY DETECTION METHOD FOR SPACECRAFTS BASED ON ASSOCIATION RULE MINING
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This paper proposes a novel anomaly detection method for spacecraft systems based on data-mining techniques. This method automatically constructs a system behavior model in the form of a set of rules by applying pattern clustering and association rule mining to the time-series data obtained in the learning phase, then detects anomalies by checking the subsequent on-line data with the acquired rules. A major advantage of this approach is that it requires little a priori knowledge on the system.
- The Journal of Space Technology and Science
The Journal of Space Technology and Science 17(1), 1-10, 2001-03-01
Japanese Rocket Society