LOX/Kerosene Rocket Engine Starting Fault Detection

To meet the requirement of fault detection for LOX/Kerosene rocket engine starting,both detection methods of time sequence model and nonlinear regression model were applied.A general principle for parameter selection was proposed.With consideration of the LOX/Kerosene rocket engine features,the monitored parameters were determined.All the software and hardware for detection system were designed.This detection system was verified to be effective through debugging and engine hot testing.This system is important to engine reliability and safety improvement.