关键词: 液体推进剂火箭发动机;人工神经元网络;故障检测;模式识别

Abstract: Abstract A fault detection system for a liquid propellant rocket engine was proposed for the realtime conditions based on the fuzzy hypersphere neural network.It extracted the template class representing for the normal conditions using the pattern recognition method,and then it compared the current point with the template class to judge how the engine was getting on.Test data analyses showed that the fuzzy hypersphere neural network is very sensitive to the input patterns.