摘要
为了提高液体火箭发动机涡轮泵的安全性,降低其故障带来的破坏性,设计了某型液体火箭发动机涡轮泵健康监控系统(TP HMS),工程实现了TP HMS的测试硬件子系统、实时故障检测子系统、试车后数据分析子系统和实时数据库支持子系统等,讨论和分析了TP HMS的功能和执行流程,然后利用历史试车数据与转子试验平台数据对TP HMS中的多特征参量自适应阈值综合决策算法(MATA)进行了离线和实时在线验证;利用自适应时频谱对测试数据作进一步的分析。结果表明,MATA没有发生误检测情况,并具有实时故障检测的能力;自适应时频谱能有效抑制时频交叉项的干扰,准确给出故障信号的时间和频率信息。因此,TP HMS适合于液体火箭发动机涡轮泵健康状态监控。
<Abstrcat>In order to enhance the safety of liquid rocket engine (LRE) turbopump and minimize the damage of its faults, a health monitoring system of turbopump (TP-HMS) is designed for a large LRE. After the realization of the subsystems for signal acquisition, real-time fault detection, post test data analysis and real-time database support, the function and the flow of execution are investigated and analyzed. Then, the multi-feature adaptive threshold compositive decision-making algorithm (MATA) is validated with the historical data from LRE test as well as real-time data from rotor test platform. To obtain the information of fault signals, the adaptive spectrogram is applied in the data analysis. It is shown that MATA can detect the faults in real time and give no false alarm in this case. Through the application of adaptive spectrogram, the cross-term interference is suppressed. The time frequency information is obtained accurately. Therefore, the conclusion is drawn that the TP-HMS design is suitable for the health monitoring of LRE turbopump.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2005年第3期40-44,共5页
Journal of National University of Defense Technology
基金
国家863高技术研究发展计划资助项目(2002AA722070)
国家自然科学基金资助项目(50375153)
