Acquisition of missile fault diagnosis knowledge based on incomplete information of flow graph
Zhaozheng Liu, Mingqing Xiao, Haizhen Zhu, Jianfeng Li · IOP Conference Series Earth and Environmental Science · 2021
Abstract Aiming at the problem of missing information and incomplete information in missile fault diagnosis, a method of acquiring missile fault diagnosis knowledge based on flow graph is proposed. Firstly, the fault feature information is extracted, and the fault diagnosis knowledge is classified by using the feature relationship to obtain a set of fault diagnosis examples under the same feature relationship. Then, the flow graph of incomplete fault diagnosis is established, and the confidence level and coverage level between each node are expressed. The knowledge acquisition framework of missile fault diagnosis is constructed. Finally, combining with the case analysis, it is verified that the fault diagnosis knowledge acquisition method has a good intuition, which provides an effective reference for missile fault diagnosis.