Unsupervised Anomaly Detection for Liquid-Fueled Rocket Prop...
Title: Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring.

Abstract: This article describes the results of applying four unsupervised anomaly detection algorithms to data from two rocket propulsion testbeds. The first testbed uses historical data from the Space Shuttle Main Engine. …