The Application of Bayesian in Health Intelligent Evaluation of Aerospace Propulsion System
In this paper, the advantage of Bayesian used in Health Intelligent Evaluation of aerospace propulsion system is discussed. Health Evaluation of aerospace propulsion technology is the application of the article intelligence in engineering. Since it has strong engineering background, it has several traits: 1) the number of fault sample is not equal with that of normal sample, which means the former is far less than the latter. 2) The sample data obtained is very limited, thus it cant express the full-scale parameter distributing information. 3) Recognizing the normal data as the fault data is the first type of mistake. And recognizing the fault data as the normal data is the second type of mistake. Obviously the loss caused by the two types of mistake is much different. 4) The acquisition of engine testing data is gradual. So Health Evaluation of aerospace propulsion is a problem of frequent relearning. According to these traits, Bayesian theory, which is better than other article intelligence techniques, can adapt to the problem. At last, based on Bayesian theory, Health Intelligent Evaluation of aerospace propulsion system has been realized and put into application for some liquid propellant rocket engine.
Bayesian health intelligent evaluation aerospace propulsion system
YU Peng WANG Yan-kai LIAO Ming-fu
School of Power and Energy,Northwestern Polytechnical University ,Xi an, China
国际会议
4th International Symposium on Jet Propulsion and Power Engineering(第四届喷气推进与动力工程国际会议 ISJPPE2012)
西安
英文
548-552
2012-09-10（万方平台首次上网日期，不代表论文的发表时间）