ANOMALY DETECTION METHOD FOR SPACECRAFTS BASED ON ASSOCIATION RULE MINING
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 : a publication of Japanese Rocket Society
The Journal of space technology and science : a publication of Japanese Rocket Society 17(1), 1-10, 2001-03-01
Japanese Rocket Society