Storage Life Prediction for Accelerometer based on Nonlinear Degradation Model
Rui Li, Lixin Wang, Qi Wang, Can Li
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.1How to use a DOI?
- accelerometer; storage life; nonlinear; accelerate model; degradation
- For the accelerometers which have nonlinear degradation characteristics, the existing linear regression model is difficult to accurately evaluate the storage life. In order to solve this problem, under the condition of the accelerated degradation test, a storage life evaluating method based on nonlinear regression model is advanced. Analyzed the relationship between the characteristic parameters of the model and the stress level, and deduced the life distribution of probability which is restricted by acceleration model, and proposed a statistical analysis method which combines maximum likelihood estimation and parameter identification method. Finally, evaluated a certain type of accelerometer of constant stress accelerated degradation experiment data, and it proved that the validity of the analysis and the method is effective.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Rui Li AU - Lixin Wang AU - Qi Wang AU - Can Li PY - 2014/03 DA - 2014/03 TI - Storage Life Prediction for Accelerometer based on Nonlinear Degradation Model BT - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering PB - Atlantis Press SP - 1 EP - 6 SN - 1951-6851 UR - https://doi.org/10.2991/mce-14.2014.1 DO - https://doi.org/10.2991/mce-14.2014.1 ID - Li2014/03 ER -