CAJ | 학술논문

目前液体火箭发动机稳态过程的故障检测与评估的研究相对较少，挖掘发动机稳态过程故障信息数据对运载火箭保障发射任务成功率、降低运行成本、实现可重复使用等具有重要意义，提出基于聚类分析的故障程度评估方法，构建了故障程度评估算法，通过采用液体火箭发动机的仿真数据，验证评估单一故障程度与二度故障程度。验证结果表明，该算法评估效果满足要求。
목전액체화전발동궤은태과정적고장검측여평고적연구상대교소，알굴발동궤은태과정고장신식수거대운재화전보장발사임무성공솔、강저운행성본、실현가중복사용등구유중요의의，제출기우취류분석적고장정도평고방법，구건료고장정도평고산법，통과채용액체화전발동궤적방진수거，험증평고단일고장정도여이도고장정도。험증결과표명，해산법평고효과만족요구。
There is relatively less study focus on the fault detection and evaluation of liquid rocket engine steady-state process. The fault information data mining of engine steady-state process is very important for raising future launch vehicle mission success rate, reducing launch cost and realizing rocket reusable. This paper puts forward a fault level evaluation method based on clustering analysis. A fault level evaluation method by using the simulation data of liquid rocket engine was presented, and the single fault evaluation and second-degree failure evaluation were validated. The results show that the evaluation effect of the algorithm is satisfactory.