The accurate detection and diagnosis of faults in Liquid Rocket Engines (LREs) are critical
for ensuring space mission safety. However, the limited availability of actual fault samples …

Accurate prediction of remaining useful life (RUL) is necessary to ensure stable and safe
operations for rocket engines. The paper proposed a multi-head attention network coupled …

This study deals with the mathematical modeling and numerical simulation of chemical
propulsion systems (CPSs). For this, we investigate and summarize a comprehensive …

To ensure the safety and stability of the rocket, it is essential to implement accurate anomaly
detection on key parts such as the liquid rocket engine (LRE). However, due to the indistinct …

Anomaly detection of satellite telemetry data has always been a significant issue in the
development of aeronautics and astronautics. Timely and effective anomaly detection …

The use of hidden features or reconstruction errors extracted by deep auto-encoder (DAE) is
becoming popular to discriminate anomalies from normal. Nevertheless, the fact that the …

We propose a fault detection and diagnosis (FDD) method for liquid-propellant rocket
engine tests during startup transient based on deep learning. A numerical model describing …

The anomaly detection of aeroengines faces significant challenges, including high noise,
complex parameter correlations, and imbalanced data. Current methods primarily rely on the …

Anomaly detection (AD) for liquid rocket engine (LRE) is essential to improve the reliability
and safety of space launch missions. However, it is difficult for existing methods to …

To achieve reliable and automatic anomaly detection (AD) for large equipment such as
liquid rocket engine (LRE), multisource data are commonly manipulated in deep learning …