大深度浮力驱动式水下运载器的浮潜运动研究

基于模型试验,对大深度浮力驱动式水下运载器的上浮运动进行研究与分析,基于数值仿真,提出大深度浮力驱动式水下运载器浮潜运动的快速预报方法,并将预报结果与模型试验结果进行对比,证明快速预报方法的准确性。使用快速预报方法,针对水下运载器比重变化、流体密度变化、水下运载器初速度以及水流扰动4种因素对浮潜运动的影响进行研究.此外,对水下运载器作六自由度运动时所受的水动力进行计算,为后续的六自由度运动预报和研究提供基础。     

基于维修过程的船舶装备维修性分析方法研究

针对船舶装备的维修特点,提出一种适合船舶装备的维修性分析方法—基于维修过程的船舶装备维修性分析方法.该方法是在将维修过程进行分解的基础上,通过定性分析查找船舶装备在维修性设计中存在的薄弱环节,通过定量分析预估装备的平均故障修复时间值,从而为装备改进维修性设计和签订合同提供依据.最后用实例说明此方法的应用.     

舰船备件配置研究现状与思考

备件是舰船装备进行正常检修或应急修理的保障性物资,舰船备件配置水平的高低直接影响舰船装备保障的能力与费用。在舰船维修体制分析的基础上,通过对国内外舰船备件配置文献的梳理研究,依据不同的理论基础与数学模型,总结基于历史数据、METRIC理论和系统可靠性的配置方法,并对这些方法的优势与不足进行分析对比。在此基础上,提出考虑部件重要度、混合约束下的多目标优化以及备件共用策略优化这3个舰船备件配置研究未来的发展方向。     

无人艇在边海防作战保障中的应用研究

边海防水域具有线长面广、环境恶劣复杂、突发事件层出、局部争端频现等特点，长期以来是管控的重难点之一，研制边海防无人艇是未来发展的重要方向。分析了国内外无人艇研究现状，根据边海防水域环境特点和管控任务，论证了边海防无人艇的多样化任务应用需求和总体发展趋势。在此基础上，提出了边海防无人艇初步建设设想，并针对具体使用实际从总体设计、环境感知、模块化载荷、安全防护等方面指出关键技术攻关方向，为推进实装应用进程提供有利参考。     

船舶机电系统可靠性评估方法研究

本文在总结船舶机电系统可靠性评估特点的基础上,分析了现有评估方法运用于船舶机电系统的不足,结合故障树通用模型,提出了基于相当故障树模型的系统可靠性综合评估方法。该方法先利用相当故障树模型简化系统层次,然后结合经典法计算,较好地解决了对船舶大型小子样复杂系统进行可靠性评估的问题。     

水下管道维修干式舱系统可靠性及安全性分析

可靠性、安全性是水下管道维修干式舱系统的重要指标.在分析水下干式舱系统组成及作业特点的基础上,判定出最可能发生的两类典型故障,并以这两类典型故障为顶事件构建了恰当的故障树分析模型.开展了可靠性定性分析和定量计算,得出两类典型故障发生的概率及设备的关键重要度.根据定性分析与定量计算结果,找出了系统的薄弱环节,并对如何提高系统的安全可靠性提出了建议.     

Bayesian Network Based Approach for Diagnosis of Modified Sequencing Batch Reactor

Wastewater treatment is a complicated dynamic process affected by microbial, chemical and physical factors. Faults are inevitable during the operation of modified sequencing batch reactors(MSBRs) because of the uncertainty of various factors. Abnormal MSBR results require fault diagnosis to determine the cause of failure and implement appropriate measures to adjust system operations. Bayesian network(BN) is a powerful knowledge representation tool that deals explicitly with uncertainty. A BN-based approach to diagnosing wastewater treatment systems based on MSBR is developed in this study. The network is constructed using the knowledge derived from literature and elicited from experts, and it is parametrized using independent data from a pilot test.A one-year pilot study is conducted to verify the diagnostic analysis. The proposed model is reasonable, and the diagnosis results are accurate. This approach can be applied with minimal modifications to other types of wastewater treatment plants.     

Numerical simulation to reliability analysis of fault-tolerant repairable system

In the traditional method for the reliability analysis of fault-tolerant system, the system structure is described by means of binary decision diagram (BDD) and Markov process, and then the reliability indexes are calculated. However, as the size of system augments, the size of state space will increase exponentially. Additionally, Markov approach requires that the failure and repair time of the components obey an exponential distribution. In this study, by combining dynamic fault tree (DFT) and numerical simulation based on the minimal sequence cut set (MSCS), a new method to evaluate reliability of fault-tolerant system with repairable components is proposed. The method presented does not depend on Markov model, so that it can effectively solve the problem of the state-space combination explosion. Moreover, it is suitable for systems whose failure and repair time obey an arbitrary distribution. Therefore, our method is more flexible than the traditional method. At last, an example is given to verify the method.