摘要
为避免微小设备维修误差对船舶航行稳定性造成的影响,提出船舶精密机械设备维修质量检测方法。通过精密拉曼维修因子计算、因子校正2个步骤,完成船舶精密机械设备的维修特征分析。在此基础上,通过维修特征检查、标准检测集建立、质量检测算子提取3个步骤,完成船舶精密机械设备维修质量检测方法的搭建。模拟船舶航行情况设计对比实验结果表明,与现有技术手段相比,应用船舶精密机械设备维修质量检测方法后,微小设备维修误差定位准确性提升至90%,定位时间缩短至20 s以内。
In order to avoid the influence of maintenance errors of micro-equipment on the navigation stability of ships,a method for testing the maintenance quality of marine precision machinery and equipment is proposed. By calculating the precision Raman maintenance factor and correcting the factor, the maintenance characteristics of marine precision machinery and equipment are analyzed. On this basis, through three steps: maintenance feature checking, establishment of standard detection set and extraction of quality detection operator, the construction of maintenance quality detection method for marine precision machinery and equipment is completed. The comparative experimental results of simulated ship navigation design show that, compared with the existing technical means, the accuracy of micro-equipment maintenance error positioning is improved to 90% and the positioning time is shortened to less than 20 seconds after the application of ship precision mechanical equipment maintenance quality detection method.
作者
曹智军
CAO Zhi-jun(Henan Polytechnic College,Zhengzhou 450046,China)
出处
《舰船科学技术》
北大核心
2019年第4期46-48,共3页
Ship Science and Technology
关键词
精密机械
设备维修
质量检测
拉曼因子
回归分析
特征检查
标准检测集
检测算子
precision machinery
equipment maintenance
quality inspection
Raman factor
regression analysis
feature inspection
standard detection set
detection operator