TY - GEN
T1 - Degradation Modeling and Reliability Assessment of Fiber Optic Gyroscopes Based on Accelerated Degradation Test Data
AU - Hao, Chunchao
AU - Li, Min
AU - Pan, Dibo
AU - Cui, Shiyu
AU - Huang, Tingting
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Fiber optic gyroscopes (FOGs), as key components of inertial navigation systems, have largely replaced mechanical gyroscopes due to their high sensitivity and long service life. Accurate reliability assessment of FOGs is essential, yet direct lifetime data are scarce, limiting the use of conventional prediction methods. This study proposes a degradation-based modeling approach for reliability assessment of FOGs. Based on engineering knowledge, key performance indicators and primary accelerated stress factors-mainly temperature-are identified. The general path model and Wiener process models are constructed as candidates and validated with simulation data. Accelerated degradation test data from FOGs are used for deterioration modeling. Model parameters are estimated using maximum likelihood estimation, and the coefficient of determination (R2) is used to evaluate the model's goodness of fit. Results indicate that the general path model better captures FOG degradation. Reliability curves are derived, and the predicted lifetimes of both batches are obtained.
AB - Fiber optic gyroscopes (FOGs), as key components of inertial navigation systems, have largely replaced mechanical gyroscopes due to their high sensitivity and long service life. Accurate reliability assessment of FOGs is essential, yet direct lifetime data are scarce, limiting the use of conventional prediction methods. This study proposes a degradation-based modeling approach for reliability assessment of FOGs. Based on engineering knowledge, key performance indicators and primary accelerated stress factors-mainly temperature-are identified. The general path model and Wiener process models are constructed as candidates and validated with simulation data. Accelerated degradation test data from FOGs are used for deterioration modeling. Model parameters are estimated using maximum likelihood estimation, and the coefficient of determination (R2) is used to evaluate the model's goodness of fit. Results indicate that the general path model better captures FOG degradation. Reliability curves are derived, and the predicted lifetimes of both batches are obtained.
KW - Accelerated Degradation Test
KW - Fiber Optic Gyroscope (FOG)
KW - Performance Degradation
KW - Reliability Assessment
KW - Wiener Process
UR - https://www.scopus.com/pages/publications/105032894561
U2 - 10.1109/SRSE67406.2025.11357343
DO - 10.1109/SRSE67406.2025.11357343
M3 - 会议稿件
AN - SCOPUS:105032894561
T3 - 2025 7th International Conference on System Reliability and Safety Engineering, SRSE 2025
SP - 135
EP - 140
BT - 2025 7th International Conference on System Reliability and Safety Engineering, SRSE 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on System Reliability and Safety Engineering, SRSE 2025
Y2 - 20 November 2025 through 23 November 2025
ER -