Abstract
Based on the characteristics of structures and employments on missile turbofan engine, mean time between failure (MTBF), rate of startup successfully (RST) and mean time to failure (MTTF) were chosen as the parameters of reliability evaluation. MTBF reflect the basic reliability, and MTBF evaluation model was erected based on Bayes data fusion technology. RST reflect starting reliability, and RST evaluation model was established by dint of fault tree analysis. MTTF embody mission reliability, and MTTF distribution model according to key components during operation founded. These evaluation methods are evaluated by application on certain missile turbofan engine. The parameters are selected effectively, the models are correct, and the conclusions can be used as reference in reliability evaluation during development and employment.
| Original language | English |
|---|---|
| Pages (from-to) | 1468-1472 |
| Number of pages | 5 |
| Journal | Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics |
| Volume | 35 |
| Issue number | 12 |
| State | Published - Dec 2009 |
Keywords
- Data fusion
- Missile turbofan engine
- Reliability parameter
- Targets assessment
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