摘要
根据故障仿真预测任务的要求,利用动态模糊综合评判和虚拟样机建立了一种新的故障仿真预测模型,首先利用动态模糊综合评判方法预测各故障现象出现的可能性大小,由基于ADAMS(Automatic Dynamic Analysis Mechanical System)建立的虚拟样机结合专家知识库进一步检验实际发生故障的部件。这种定性与定量推理相结合的故障仿真预测模型不仅具备较强的数值计算能力,还能有效地表达专家的经验知识,利用已有的实验数据,对自行火炮在未来任务段内的故障发生情况作出准确的预测。
Based on requirements of fault simulation and task prediction, a new fault simulation and prediction model is put forward based on dynamic fuzzy comprehensive evaluation and virtual prototype for maintenance and safeguarding of self-propelled gun. The dynamic fuzzy comprehensive evaluation offers possibilities of all the fault phenomena. Further inference can be accomplished by virtual prototype based on ADAMS (Automatic Dynamic Analysis Mechanical System) and expert knowledge bases. The fault simulation and prediction model contains not only mighty numerical evaluation power, but also various experiences of experts and experimental data. It can accurately predict future faults for self-propelled gun.
出处
《火炮发射与控制学报》
北大核心
2003年第1期49-52,共4页
Journal of Gun Launch & Control
关键词
ADAMS
虚拟样机
故障预测
模糊综合评判
自行火炮
ADAMS
virtual prototype
fault prediction
fuzzy comprehensive evaluation
self-propelled gun
