DocumentCode
2469936
Title
Design and development of the storage stability analyzing software for the accelerometer based on simulation data
Author
Liao, Xun ; Chen, Yunxia ; Xu, Dan
Author_Institution
Sch. of Reliability & Syst. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear
2012
fDate
23-25 May 2012
Firstpage
1
Lastpage
6
Abstract
Based on the storage stability analyzing process for the accelerometer, this paper has achieved the integration of Finite Element Analysis (FEA), approximate modeling, storage stability analysis and database management in the storage stability analyzing software. By packaging the ANSYS Parametric Design Language (APDL) and enabling the MATLAB engine, this software has achieved the redevelopment of ANSYS and the approximate modeling of simulation data in a user interface created by Visual C++ where the results of storage stability analysis are presented. The storage stability analysis conducted in this paper which will work as a tool for the stability design and analysis in the product developing process is mainly based on the modeling in ANSYS and the simulation data. The software can also predict the accelerometer´s storage stable term in real time based on the field storage data of the scale factor K1 through secondary modeling with the help of the storage stability analysis module and data interface. It can also work as a support for the storage stable term prediction based on storage data in the employment phase of the accelerometer.
Keywords
accelerometers; database management systems; finite element analysis; ANSYS Parametric Design Language; MATLAB engine; Visual C++; accelerometer storage; approximate modeling; database management; finite element analysis; software analysis; storage stability analysis; Acceleration; Analytical models; Data models; Engines; Load modeling; MATLAB; Mathematical model; Accelerometers; MATLAB Engine; Redevelopment of ANSYS; Scale Factor; Storage Stable Term Prediction; Visual C++;
fLanguage
English
Publisher
ieee
Conference_Titel
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location
Beijing
ISSN
2166-563X
Print_ISBN
978-1-4577-1909-7
Electronic_ISBN
2166-563X
Type
conf
DOI
10.1109/PHM.2012.6228877
Filename
6228877
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