摘要
研究数据挖掘技术在火箭发动机故障诊断中的应用,利用两种典型的贝叶斯分类器——朴素贝叶斯分类器和TAN分类器对液体火箭发动机故障进行分类,对某型号液体火箭发动机的试车数据和仿真数据进行了故障诊断,结果和实际试车情况相符,从而验证了贝叶斯分类器可以应用于液体火箭发动机故障诊断。
The application of data mining in fault diagnosis of rocket engine is analyzed in this paper. Two representative Bayesian classifier Naive Bayesian classifier and TAN classifier are used to calssify the faults of liquid propellant rocket engine, and the trial run data of a rocket engine and simulation data are diagnosed. The results is correspond to real hot run. Therefore, the verified Bayesian classifier can be used in fault diagnosis of liquid rocket engine.
出处
《火箭推进》
CAS
2007年第6期12-16,42,共6页
Journal of Rocket Propulsion
基金
国家自然科学基金资助项目（50376073）.
关键词
数据挖掘
贝叶斯分类器
液体火箭发动机
故障诊断
date mining
Bayesian classifier
fault diagnosis
liquid propellant rocket engine
