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Accelerated Test Environmental Spectra and Data Processing Method of Inertial Components |
Received:September 17, 2015 Revised:February 15, 2016 |
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DOI:10.7643/issn.1672-9242.2016.01.016 |
KeyWord:accelerated test accelerated environment spectra rain flow cycle counting algorithm |
Author | Institution |
CHEN Yuan |
South West Institute of Technical Engineering, Chongqing , China |
ZHU Lei |
South West Institute of Technical Engineering, Chongqing , China |
ZHU Qi-ju |
Xi′ an Advanced Control Technologies Research Institute, Xi′ an , China |
ZHANG Shi-yan |
South West Institute of Technical Engineering, Chongqing , China |
YANG Chao-ming |
Xi′ an Advanced Control Technologies Research Institute, Xi′ an , China |
HUANG Bo |
South West Institute of Technical Engineering, Chongqing , China |
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Abstract: |
Objective To study accelerated environment spectra and accelerated test method that could simulate temperature change in the storage environment of inertial navigation components. Methods The characteristic parameter change of products was simultaneously tested when monitoring the temperature stress change of the storage environment, and the temperature change curve was converted into temperature environment spectra and then accelerated environment spectra by rainflow cycle counting algorithm. Accelerated test was performed according to the accelerated environment spectra, and the performance assessment of the product was conducted by comparing the results of accelerated test and natural storage test. Results Using the temperature data monitored in a test storage room in 2012 as an example, the environment spectra and accelerated environment spectra of the simulated storage environment of inertial components were obtained by conversion, and the method to guide accelerated test of inertial components was also obtained. Conclusion The accelerated test method obtained by conversion using rainflow cycle counting algorithm to deal with temperature stress of inertial components could well simulate the actual temperature change during the storage of inertial navigation components, and would be able to evaluate the life and capability change of inertial navigation components. |
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