基于模糊故障树的防爆电气设备失效判定模型构建  

Construction of Failure Judgment Model for Explosion Proof Electrical Equipment Based on Fuzzy Fault Tree

作　　者：袁良 李晋锋 YUAN Liang;LI Jinfeng(Yingmai oil and Gas Production Management Area,Tarim Oilfield Branch,Korla 841000,China)

机构地区：[1]塔里木油田分公司,英买采油气管理区,新疆库尔勒841000

出　　处：《微型电脑应用》2022年第12期136-138,共3页Microcomputer Applications

摘　　要：为了提高防爆电气设备使用安全,基于模糊故障树构建了防爆电气设备失效判定模型。使用Mean Shift算法对设备进行模态检测,获得设备的模态状态。同时在故障树基础上,利用T-S模糊可能性限制故障树的特定时段,得出具体时段下的故障可能性。利用傅里叶变换运算,对设备中存在故障进行判断,得出是否存在故障性失效。利用灰色预测法对不存在故障的设备进行性能变化预测,并将结果结合模糊故障树,获取设备的性能失效性。为了验证设计模型是否满足设计初衷,使用设计模型以及文献模型,对某公司7件超过使用时限的防爆电气设备进行失效性判定,实验结果显示,设计的失效判定模型得出的失效程度更接近实际结果,满足设计初衷。In order to improve the safety of explosion-proof electrical equipment, a failure judgment model of explosion-proof electrical equipment based on fuzzy fault tree is constructed. We use Mean Shift algorithm to perform modal detection on the device to obtain the modal state. At the same time, on the basis of the fault tree, the fuzzy possibility of T-S is used to limit the specific period of the fault tree, and the probability of failure under the specific period is obtained. We use Fourier transform to judge whether there is a fault in the equipment and find out failure location. The gray prediction method is used to predict the performance change of the equipment without failure, and the result is combined with the fuzzy fault tree to obtain the performance failure of the equipment. In order to verify the design model, the design model and the document model are used to determine the failure of 7 explosion-proof electrical equipment of a company that exceeded the use time limit. The experimental results show that the failure degree obtained by the designed failure determination model is closer to the actual situation. As a result, the original design intention is met.

关 键 词：Mean Shift算法 傅里叶变换 失效判定 模糊故障树 灰色预测法 

分 类 号：TB114.3[理学—概率论与数理统计]