Reliability Analysis Method of Aircraft Hatch Lock Mechanism with Multi-failure Modes

Abstract

How to improve the reliability calculation efficiency of the aircraft cabin door lock mechanism closing system, reduce the calculation time and reduce the failure rate of the cabin door is an urgent problem to be solved. An aircraft hatch lock mechanism is chosen as an example, the simulation model of the mechanism is established through LMS, and the maximum hydraulic pressure failure and the time-failure modes are studied during the closing process of the lock mechanism. Considering the correlation between the two failure modes, based on the important sampling method and B-P neural network method, the reliability of the aircraft hatch lock mechanism with multiple failure modes is calculated. Comparing the simulation results of these two methods with the results of the traditional Monte Carlo method, it is concluded that the above two methods for calculating the reliability of the aircraft door lock mechanism are reasonable, and the error range is within 3%. The computational efficiency of the two methods is improved compared with the traditional methods. Among them, the B-P neural network method is more accurate and efficient than the important sampling method, and is more suitable for studying the reliability of the aircraft door lock mechanism.

Keywords

• lock mechanism of aircraft hatch door
• multiple failure modes
• mechanism reliability
• important sampling method
• b-p neural network method