A Real-Time Fault Detection Method for Liquid-propellant Rocket Engines Based on the Cloud Association Rules
Jian Wu · Manned Spaceflight · 2013
A real-time fault detection method for liquid-propellant rocket engines is proposed in the paper based on the integration of cloud model and association rules. The method is able to overcome the deficiency of traditional association rules in which the partition of domain boundary for the quantitative attributes is too hard. In addition, the random in measured variables and disturbance are also well decreased by way of real-time modification for the expectation of the cloud model. Results with test data show that the method can detect the faults in time and precise, and can be reliable and robust.