在故障模糊集划分的基础上,根据故障信息量,建立了实时故障树的节点优选方法。
Based on carving up the fuzzy sets, according to quantity of fault information, a node selecting method for real-time fault diagnosis tree is established.
在故障模糊集划分的基础上,根据故障信息量,建立了实时故障树的节点优选方法。
Based on carving up the fuzzy sets, according to the quantity of fault information, a node selecting method for real - time fault diagnosis tree is astablished.
依据故障点处提供的故障信息量最大,将故障诊断问题转化为寻找最优故障检测点问题。
According to the rule that fault information volume is maximal at fault point, the fault diagnosis problem is transferred into problem on seeking for optimum fault detecting point.
采用这种方法不仅对自动化生产线故障显示准确及时,而且减少了PLC与计算机通讯的信息量。
This method not only makes the display of the fault number of the automatic production line accurate and prompt, but also reduces the communication between PLC and computers.
传统汽车仪表多采用结构复杂的指针型模拟仪表,显示的信息量较少,而且故障率较高。
The pointer instruments with complex structure are often used as traditional instruments, which have a little information displayed and a high failure rate.
然后根据信息量的大小依次选择测试点,并确定出优化的故障诊断策略。
Then, test points can be selected based on the fault diagnosis information values, and a mo...
最后根据故障特征表计算信息量,作出最大故障二元树,并最终确定故障产生的源头。
At last, the binary tree of the possible maximum failure is made according to the calculated information from the features of...
然后根据信息量的大小依次选择测试点,并确定出优化的故障诊断策略。
Then, test points can be selected based on the fault diagnosis information values, and a more efficient fault diagnosis strategy can be constituted.
然后根据信息量的大小依次选择测试点,并确定出优化的故障诊断策略。
Then, test points can be selected based on the fault diagnosis information values, and a more efficient fault diagnosis strategy can be constituted.
应用推荐