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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jikun Yang Tingxue Xu Yong Liu Ling Wang Jianzhong Zhao |
| Copyright Year | 2012 |
| Description | Author affiliation: Graduate Students' Brigade, Naval Aeronautical and Astronautical University, Yantai, China (Jikun Yang) || Department of Ordnance Science and Technology, Naval Aeronautical and Astronautical University, Yantai, China (Tingxue Xu; Yong Liu; Ling Wang; Jianzhong Zhao) |
| Abstract | Aiming at the atrocious storage environment of missile solid rocket motor, especially the higher requirement for structural reliability, based on the modified Arrhenius and GM-BP methods, the solid rocket motor life prediction principle was proposed. Using these methods, the engine life estimate and the propulsion system store life prediction model were founded. The modified Arrhenius method suits the requirement of accelerated test better and the GM-BP combination prediction model colligates the advantages of the gray theory and nerve net. At last, the life prediction software system was developed, and a simulation example was given, which can show the effective of prediction model. Accord to results, engineers can find the potential trouble model and make right maintenance plan, in order to raise the storage reliability and extend its storage life and so on. |
| Starting Page | 755 |
| Ending Page | 759 |
| File Size | 1747017 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467307864 |
| e-ISBN | 9781467307888 |
| DOI | 10.1109/ICQR2MSE.2012.6246339 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Solid rocket motor Life prediction Analytical models GM-BP model Predictive models Simulation system development Data models Reliability Mathematical model Reluctance motors Equations |
| Content Type | Text |
| Resource Type | Article |
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