飞机舱门锁机构多失效模式可靠性分析方法

如何提高飞机舱门锁机构关闭系统的可靠性计算效率,减少计算时间,降低舱门故障率是亟待解决的 问题。选取某型飞机舱门锁机构为研究对象,通过 LMS建立飞机舱门锁机构仿真模型,研究锁机构关闭过程 中最大液压力失效和关锁时间失效模式的影响因素,考虑两种失效模式之间的相关性,基于重要抽样法和 B-P 神经网络方法,计算飞机舱门锁机构多失效模式下的可靠性;将这两种方法仿真计算结果与传统蒙特卡罗方法 计算结果进行对比,结果表明:以上两种计算飞机舱门锁机构可靠性的方法是合理的,其误差范围均在3%以 内,且两种方法的计算效率相较于传统方法均有所提高;其中,B-P神经网络方法比重要抽样法计算精度和效 率更高,更适用于研究飞机舱门锁机构的可靠性问题。

Reliability Analysis of Aircraft Hatch Lock Mechanism with Multi-Failure Modes

In order to study the reliability of the aircraft hatch lock mechanism closing system, this paper choose an aircraft hatch lock mechanism as an example, establishes the simulation model of the mechanism through LMS, and studies the maximum hydraulic pressure failure and the time-failure modes 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, we can conclude 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 BP 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.