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liquid rocket propulsion systems
相关语句
  液体火箭推进系统
     A Real-time Fault Diagnosis Approach to Liquid Rocket Propulsion Systems Using Mechanism Model and SOM Neural Networks
     一种应用机理模型和SOM神经网络的液体火箭推进系统实时故障诊断方法
短句来源
     According to the need for health monitoring 0f liquid rocket propulsion systems andtaking into account the real Possibllity provided by the progress of medern science and technology,evolution of health monitoring technique of liquid rocket propulsion systems is discussed.
     按照液体火箭推进系统对健康监控的需求,考虑现代科技进展所提供的现实可能,叙述了液体火箭推进系统健康监控技术的演变。
短句来源
     In order to real time diagnose the failures of liquid rocket propulsion systems, a real time fault diagnosis approach using mechanism model and SOM(Self organizing Mapping) neural networks is put forward.
     为了解决液体火箭推进系统实时故障诊断的问题 ,提出了一种应用故障机理模型和SOM(Self-organizingMapping)神经网络的实时故障诊断方法。
短句来源
  相似匹配句对
     Application of CFD in Liquid Rocket Engine
     计算流体动力学在液体火箭发动机中的应用
短句来源
     POGO analysis of cluster liquid rocket
     捆绑液体火箭跷振(POGO)稳定性分析
短句来源
     STATIC CHARACTERISTICS SIMULATION OF LIQUID ROCKET ENGINE SYSTEMS
     液体火箭发动机系统静态特性模拟
短句来源
     Progressive Propulsion
     发展中的推进装置
短句来源
     Missile Propulsion
     导弹的推进技术
短句来源
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According to the need for health monitoring 0f liquid rocket propulsion systems andtaking into account the real Possibllity provided by the progress of medern science and technology,evolution of health monitoring technique of liquid rocket propulsion systems is discussed. The basicprinciple obeyed by the fault detection and diagnostics is elucidated. The main aspects such as systemframeworks, failure modes, algorithms of fault detection and diagnostics, control means and sensortechniques are briefly...

According to the need for health monitoring 0f liquid rocket propulsion systems andtaking into account the real Possibllity provided by the progress of medern science and technology,evolution of health monitoring technique of liquid rocket propulsion systems is discussed. The basicprinciple obeyed by the fault detection and diagnostics is elucidated. The main aspects such as systemframeworks, failure modes, algorithms of fault detection and diagnostics, control means and sensortechniques are briefly illustrated. The evolution trend of health monitoring technique of liquid rocketpropulsion systems is set out.

按照液体火箭推进系统对健康监控的需求,考虑现代科技进展所提供的现实可能,叙述了液体火箭推进系统健康监控技术的演变。阐明了故障检测与诊断所遵循的基本原则。对系统框架、故障模式、故障检测与诊断等法、控制措施、传感器技术等作了扼要的介绍。还论述了液体火箭推进系统健康监控技术的演变趋势。

Much inportance has been attachad to the selection of optimal feature parameters subset in the fault diagnosis fields such as liquid rocket propulsion system.This paper presents an effective method of selection for the optimal feature parameters subset using Genetic Algorithms and based on the maximum and minimum clustering criterion for samples,so that the selected feature parameters subset can be used to compose a simplified real time fault classifier with high robustness to various...

Much inportance has been attachad to the selection of optimal feature parameters subset in the fault diagnosis fields such as liquid rocket propulsion system.This paper presents an effective method of selection for the optimal feature parameters subset using Genetic Algorithms and based on the maximum and minimum clustering criterion for samples,so that the selected feature parameters subset can be used to compose a simplified real time fault classifier with high robustness to various sorts of noises and disturbances.First,a composite directional divergence index for samples is proposed as an evaluation criterion for the selected feature parameters subset for fault diagnosis'purpose;then,Genetic Algorithm has been modified in parts for this specific permutation problem,the dynamic fitness adaptation technique and all sharing function are introduced in order to avoid the population's premature convergence.An ad hoc genetic operator is specially designed to improve the feature selection efficiency.In an addition,all the selection procedures for the optimal feature parameters subset are based on the data set for 16 sorts of common faults simulated for a type of liquid rocket engine system.The numerical experiments show that this selection algorithm is highly effective and the constructed fault classifier with the selected feature parameters possesses morerobustness.

在诸如液体火箭发动机等复杂动力学系统的故障诊断中,监控参数组的优选问题一直受到工程技术人员的高度重视。本文提出了综合样本矢量方向离散度概念,以此作为故障特征参数的优选准则;然后利用经过改进的遗传算法,对某液体火箭发动机常见故障的诊断进行了特征参数组的优选。在改进的遗传算法中,采用了非常简洁而高效的染色体编码,针对特征优选的组合优化类问题专门设计了一种特殊的基因迁移算子,并引进了父本个体适应值的动态调整技术与共享函数。数值实验结果表明,该算法具有理想的效果。

According to the requirements of study on fault diagnosis of large scale liquid rocket propulsion systems, an inverse problem model on fault diagnosis has been established and an algorithm to solve the model has also been put forward in this paper. The method is based on genetic algorithm (GA). After investigation on characteristics and difficulties of inverse problems on fault diagnosis, the algorithm used for solving the inverse problems is studied emphatically. Finally, an application example obtained...

According to the requirements of study on fault diagnosis of large scale liquid rocket propulsion systems, an inverse problem model on fault diagnosis has been established and an algorithm to solve the model has also been put forward in this paper. The method is based on genetic algorithm (GA). After investigation on characteristics and difficulties of inverse problems on fault diagnosis, the algorithm used for solving the inverse problems is studied emphatically. Finally, an application example obtained from inverse problem model by genetic algorithm is also illustrated, which demonstrates that the above mentioned inverse problem model and algorithm are sound and effective.

针对大型液体火箭推进系统故障诊断工作的需要, 建立了一种推进系统故障诊断反问题模型,并提出了基于遗传算法的反问题求解算法.在对故障诊断反问题的特点与困难及其求解方法研究的基础上,重点论述了基于遗传算法的反问题求解算法和基本过程.最后,给出了液体火箭推进系统故障诊断反问题求解的具体例子,表明所建立的推进系统故障诊断反问题模型及所提出的算法是合理有效的.

 
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