Accelerated Test Environmental Spectra and Data Processing Method of Inertial Components
Received:September 17, 2015  Revised:February 15, 2016
View Full Text  View/Add Comment  Download reader
DOI:10.7643/issn.1672-9242.2016.01.016
KeyWord:accelerated test  accelerated environment spectra  rain flow cycle counting algorithm
                 
AuthorInstitution
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
Hits:
Download times:
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.
Close