Astronomy and Astrophysics – Astronomy
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002iaf..confe.968x&link_type=abstract
IAF abstracts, 34th COSPAR Scientific Assembly, The Second World Space Congress, held 10-19 October, 2002 in Houston, TX, USA.,
Astronomy and Astrophysics
Astronomy
Scientific paper
The Large-size rocket is a complicated system with hundreds of accuracy instrument, high reliability must be demanded. Often costly, it has very small experiment sample. The experiment often obtains intervals censored data or non-failure data. It has few and single data source by means of the traditional method for reliability analysis, and the reliability synthesis process needs multilayer approximation, thus the reliability estimation for large-size rocket is very difficult. Sometimes it is impossible to estimate their reliability. It has been an important but not solved problem to the astronautical engineering academia to quantificationally analysis the reliability efficiently for Rocket with high level reliability in small sample size and censored data case. A new technology of reliability analysis for the large-size rocket is presented in this paper so as to overcome the difficulties mentioned above. 1. Reliability data fusion method Data is the basis for the reliability estimation. Even the researched object has very few experiment data, it is possible to improve the difficult situation by using some correlative rules to combine the similar product experiment data under different environment, different measurement scales and different structure layers. The sample size is therefor enlarged. Three data fusion models are proposed in the paper. a. Equivalence transformation model for the environment load spectra is Wherej is the interval length corresponding average temperature T j , T is equivalence temperature, n is interval number,0 is length for the statistical time interval. b. Time mapping model for the different environment data is Where k1 is task time in environment one, k 2 is task time in environment two. c. Weight parameter fusion model between ground experiment data and flying experiment data is Where X is flying experiment data feature vector, Y is ground measurement data feature vector, W is weight vector. 2. Virtual sample analysis method To solve the interval censored data and non-failure data reliability analysis problem, the virtual sample method is put forward. For right censored data, the virtual sample is For left censored data, the virtual sample is Whereis a positive distributed parameter, m is a positive distributed parameter. By using such new methods, the reliability analysis problem for the large-size rocket has been solved effectively. Practical examples are investigated, and the computing software is programmed.
Mu Jianhua
Xiao Xiyu
Yuan Yuhua
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