基于自动机运动周期特性的枪械故障检测与诊断方法

针对自动武器的动态特性,提出一种基于自动机运动周期特性的实时监测方式。基于运动形态的故障分析搭建测试系统,进行系统运动周期监测可信度分析,并在多种典型故障下对被试自动武器进行虚拟样机仿真分析,获得其自动机在故障状态下的动力学参数以及相应的周期特性。试验与虚拟样机仿真结果表明:该监测方式可准确有效地对自动武器自动机卡滞、复进簧失效、抽壳故障等典型故障进行诊断,可用来实时在线监测枪械运动状态是否正常。

Fault Detection and Diagnosis Method of Firearms Based on Periodic Characteristics of Automata

Aiming at the dynamic characteristics of automatic weapons, a real-time monitoring method based on the movement period characteristics of the automata is proposed. For the purpose of fault analysis based on movement patterns, a test system is built to analyze the monitoring reliability of the system''s movement period, and the virtual prototype simulation analysis of the tested automatic weapon under a variety of typical faults is carried out to obtain the dynamics parameters and corresponding period characteristics of its automata in the fault state. The test and virtual prototype simulation results show that the monitoring method can accurately and effectively diagnose the typical faults such as automata stagnation, recoil spring failure, extraction fault, etc., and can be used to monitor whether the movement of the firearm is normal or not.