TY - GEN
T1 - Determination of support delay time for flight simulator based on random degradation process
AU - Mi, Yancheng
AU - Pan, Chao
AU - Lian, Chao
AU - Guo, Linhan
AU - Han, Fusong
N1 - Publisher Copyright:
© 2025 the Author(s).
PY - 2025
Y1 - 2025
N2 - Aiming at the flight simulator, a more complex system, in order to ensure the availability, reliability, and safety of the system and the completion of the training task, a method to determine the support delay time of the flight simulator is proposed. First, a preventive maintenance inspection model of the flight simulator is established based on the random degradation process of the flight simulator. Then consider the relationship between system maintenance time and support delay time, the support delay time equation of the flight simulator is established. Based on the preventive maintenance inspection model and the support delay time equation, the support delay time optimization model of the flight simulator is established with the goal of system availability. At last, a case of motion subsystem of a flight simulator is constructed and the case results are analyzed to verify the effectiveness and applicability of the model and algorithm.
AB - Aiming at the flight simulator, a more complex system, in order to ensure the availability, reliability, and safety of the system and the completion of the training task, a method to determine the support delay time of the flight simulator is proposed. First, a preventive maintenance inspection model of the flight simulator is established based on the random degradation process of the flight simulator. Then consider the relationship between system maintenance time and support delay time, the support delay time equation of the flight simulator is established. Based on the preventive maintenance inspection model and the support delay time equation, the support delay time optimization model of the flight simulator is established with the goal of system availability. At last, a case of motion subsystem of a flight simulator is constructed and the case results are analyzed to verify the effectiveness and applicability of the model and algorithm.
KW - Flight simulator
KW - maintenance optimization
KW - maintenance strategy
KW - preventive maintenance
KW - support delay time
UR - https://www.scopus.com/pages/publications/105001087910
U2 - 10.1201/9781003470076-76
DO - 10.1201/9781003470076-76
M3 - 会议稿件
AN - SCOPUS:105001087910
SN - 9781032746302
T3 - Equipment Intelligent Operation and Maintenance - Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
SP - 787
EP - 795
BT - Equipment Intelligent Operation and Maintenance - Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
A2 - Yan, Ruqiang
A2 - Lin, Jing
PB - CRC Press/Balkema
T2 - 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
Y2 - 21 September 2023 through 23 September 2023
ER -