Modeling and Simulation for Complex Repairable System with Built-in Test Equipment

In order to research the effects of built-in test(BIT) on the system and select BITand test strategy,the complex repairable systems with BITequipment are modeled and simulated by using Simulink.Based on the model,the influences of different built-in test equipments,maintenance time and error probabilities on the system usability are evaluated.The simulation results showthat they effect on the system differently.The simulation method of complex system based on Simulink provides a technique approach to research the effects of BITon the system and select BITand test strategy.

Precision Machining Equipment Fault Diagnosis Based on CWT and Improved ResNeXt

A fault diagnosis method based on continuous wavelet transform and improved multi-dimensional residual network was proposed to solve the problem that the working environment of precision machining equipment is very complicated,and the fault characteristic signal is weak and hard to extract.Firstly,the best wavelet base Cmor 3-3 is selected by comparing 6 different wavelet base types.Secondly,continuous wavelet transform(CWT)is applied to the acquired original vibration signal to generate the feature map and process the gray level.Finally,the improved ResNeXt network is used to diagnose faults in precision machining equipment.The experimental results show that the proposed CWT and the improved ResNeXt algorithm have high accuracy in identifying precision machining equipment faults in complex environments,with an average accuracy of 99.4%。

Research and Application of Maintenance Decision Method of Complex Equipment in Nuclear Power Plant

The determination of maintenance mode of complex equipment in nuclear power plant is an essential work for reliability analysis and maintenance decision. Currently, the main decision method of maintenance mode is reliability centered maintenance( RCM) logic decision-making process, but the process is a qualitative analysis process. Based on a comprehensive analysis of factors affecting equipment reliability and maintenance work, it adopts a fuzzy synthesis decision method to establish a maintenance decision model,which uses the maximum subordination principle and expert assessment method to determine the maintenance mode of complex equipment. Combined with a concrete example of generators in nuclear power plant,a description of maintenance decision method was proposed in the application of complex equipment. The research shows that the method is feasible and reliable.

Modeling and Application of Maintenance Bill of Materials for Complex Equipment

In the industrial engineering, the maintenance and logistics support process is one of the key factors for the performance of equipment. Bill of materials( BOM) describes all the components in product and internal hierarchal relationships as a structured tree.In order to gain all required maintenance information for complex equipment which is complex,the modeling and the application of maintenance BOM are introduced in this paper. Because of the simple structure and the wide function,IDEF0 is presented to build the model of maintenance BOM. The modeling approach can gather the maintenance information conveniently based on other BOMs,and applications of maintenance BOM are widely,particularly,in maintenance and inventory management.

Selecting suitable key supplier for core components during smart complex equipment central-private enterprises collaborative development process:from two different forms of evaluation information and matching perspective

With the development of central-private enterprises integration,selecting suitable key suppliers are able to provide core components for smart complex equipment.We consider selecting suitable key suppliers from matching perspective,for it not only satisfies natural development of smart complex equipment,it is also a good implementation of equipment project in central-private enterprises integration context.In in this paper,we carry out two parts of research,one is evaluation attributes based on comprehensive analysis,and the other is matching process between key suppliers and core components based on the matching attribute.In practical analysis process,we employ comprehensive evaluated analysis methods to acquire relevant attributes for the matching process that follows.In the analysis process,we adopt entropy-maximum deviation method(MDM)-decision-making trial and evaluation laboratory(DEMATEL)-technique for order preference by similarity to an ideal solution(TOPSIS)to obtain a comprehensive analysis.The entropy-MDM is applied to get weight value,DEMATEL is utilized to obtain internal relations,and TOPSIS is adopted to get ideal evaluated solution.We consider aggregating two types of evaluation information according to similarities of smart complex equipment based on the combination between geometric mean and arithmetic mean.Moreover,based on the aforementioned attributes and generalized power Heronian mean operator,we aggregate preference information to acquire relevant satisfaction degree,then combine the constructed matching model to get suitable key supplier.Through comprehensive analysis of selecting suitable suppliers,we know that two-sided matching and information aggregation can provide more research perspectives for smart complex equipment.Through analysis for relevant factors,we find that leading role and service level are also significant for the smart complex equipment development process.

Research of Personnel Operational Ability Evaluation of Large-scale Complex Equipment

The level of personnel operation ability determines the expected effectiveness of large-scale complex equipment. Firstly, this paper constructs the personnel operational ability evaluation index system and analyzes the data source of index. Secondly, the weight of index is determined and the fuzzy comprehensive evaluation model is proposed. Finally, results of instance analysis show that the evaluation model is feasible and effective.

Modeling and Analysis of Complex Equipment Maintenance Dynamics

An equipment maintenance system is naturally a complex dynamical system. The effective mamanagement must be based on the knowledge of the system＇s intrinsic dynamics. And the strueture of the maintenance system determines its behavior. This paper analyzes the basic structures and elements of a maintenance system for complex multi-components equipment. The maintenance system is considered as a dynamic system whose behavior is influenced by its structure＇s feedback and interaction, and the system＇s available resources. Building the dynamical model with Simulink, we show some results about the maintenance system＇s nonlinear dynamics, ods. The model can be used for understanding and which operational adjustments of maintenance which are never given by stochastic process methdetermining maintenance system behavior, towards n of maintenance requirements and timely supply of maintenance resources can be made in a more informed way.

Supplier selection of complex equipment in a military-civilian collaborative two-tier supply network with uncertain preference:A matching perspective

Complex equipment refers to special equipment that differs from general equipment.The collaborative development work of complex equipment in the military-civilian integration context involves numerous suppliers.We consider a two-tier supply network composed of different suppliers that participate in the development work to assemble complex equipment that cooperate with a main-manufacturer regarding spare parts.However,in terms of spare parts,a substitution relationship exists in assembly work for complex equipment.Hence,selecting a suitable supplier from the matching process between suppliers and spare parts under a military-civilian integration background is essential.This study considers three main analyses to obtain a suitable supplier for the development work of complex equipment.First,we construct a two-stage model to acquire the necessary evaluation dimension for subsequent processes.Second,we examine the evaluated attributes for the matching process based on entropy-group-DEMATEL analysis.Third,we perform information aggregation for the uncertain preference information between spare parts and suppliers using a Bonferroni mean operator.Finally,an illustrative example is presented to demonstrate the whole efficiency.Through the aforementioned analysis,we can select a suitable supplier that could participate in complex equipment military-civilian collaborative development work.

Measurement methods on the complexity of network

Based on the size of network and the number of paths in the network,we proposed a model of topology complexity of a network to measure the topology complexity of the network. Based on the analyses of the effects of the number of the equipment,the types of equipment and the processing time of the node on the complexity of the network with the equipment-constrained,a complexity model of equipment-constrained network was constructed to measure the integrated complexity of the equipment-constrained network. The algorithms for the two models were also developed. An automatic generator of the random single label network was developed to test the models. The results show that the models can correctly evaluate the topology complexity and the integrated complexity of the networks.

高端装备制造业贸易强度如何影响出口技术复杂度?——基于中国-东盟样本数据的分析

文章基于2010-2020年中国与东盟国家高端装备制造业贸易网络,运用高维固定效应模型考察高端装备制造行业贸易强度对出口技术复杂度的影响。研究结果显示:中国与东盟国家间的贸易强度对一国高端装备制造业出口技术复杂度的提升具有显著的正向影响,且贸易开放、技术创新是重要的作用机制。相较于轨道交通装备行业,贸易强度对航空装备、卫星及应用等其他领域的高端装备出口技术复杂度的提升效果更为显著。由此提出合理布局区域贸易网络、深化贸易开放和重视技术创新等对策建议,为推动我国高端装备制造业技术升级提供思路借鉴。

基于综合贡献率的舰船装备体系寿命评估

为了更科学地预测装备寿命,提升装备的作战效益,从装备对体系的“综合贡献率”视角出发,探究了舰船装备“体系寿命”的评估方法。首先,基于作战环理论和非线性结构方程模型,引入二次交互项,构建舰船装备体系作战能力的指标体系,建立了体系作战效能的评估模型;然后,运用阈值法建立了舰船装备体系的复杂网络模型,基于拓扑特征统计值,构建了舰船装备体系网络结构特征的指标体系,将层次分析法与熵权法相结合来计算指标权重;最后,提出了舰船装备体系综合贡献率、体系寿命的定义和数学模型,并以航母编队体系对抗为算例,通过实验仿真数据,验证了模型和方法的可行性和有效性。

金融系统与装备制造业风险传染研究——基于波动溢出网络视角

当前各类经济风险交叉传染,装备制造业作为我国双循环背景下实现制造业升级的关键战略产业,其与金融系统间的风险溢出效应备受关注。为探究金融系统与装备制造业间的风险溢出效应的时变特征,本文从波动溢出网络的视角,分析金融系统与装备制造业所组成的风险网络内的风险传染机制。首先,用TVP-VAR模型计算装备制造业细分产业与金融子市场间的风险溢出效应值;其次,以细分产业与子市场为节点,以溢出效应值为连边构建有向加权风险溢出网络,分析网络整体特征变化;最后,分析网络的节点特征变化,探究内在机制。本研究发现,风险系统当中,主导的溢出效应来自装备制造业,向金融系统的股票市场与基金市场风险溢出,且这种溢出效应与经济运行状况成反比。本文的研究结论有助于更好地理解金融系统与装备制造业间的风险传染效应,对监管机构加强审慎监管、企业规避风险具有借鉴意义。

基于复杂网络的江苏海洋工程装备产业集群结构实证研究

产业集群具有大规模复杂网络的结构特征,因此基于复杂网络视角研究海工装备产业集群结构特征,进而构建江苏省海洋工程装备产业集群复杂网络拓扑图。通过对复杂网络度分布、平均路径长度、聚集系数、网络密度进行统计分析后发现:海工装备产业集群网络结构尚处于快速成长期,BA无标度网络特性初步显现;同时,网络演化过程还存在着集群网络结构不稳定、不完善、不成熟等问题。要促进江苏海工产业集群发展,就应该优化集群产业结构,构建完整的江苏海工产业链,提高海工集群资源整合能力。

机电顾问视角下城市综合体电气设计的思考

结合杭州某一城市综合体项目,分析了城市综合体建筑的电气设计的重点、难点及关键技术,归纳不同餐饮形态的负荷指标,并总结出经验取值范围;提出商业综合体的两种高压供电形式,并给出了不同选用原则;总结了酒店柴油发电机的设置原则;结合以往工作经验,提供了大型设备运输方案。

复杂重型装备营销链、供应链、服务链协同模式

针对复杂重型装备研制特点和现存问题,从营销链、供应链、服务链三链协同角度提出了一种系统性的解决方案。首先,分析了复杂重型装备的研制特点,探讨了三链构建过程和运行机制。在此基础上,提出了复杂重型装备网络化协同制造营销链、供应链、服务链的协同模式,并详细阐述了该模式下的协同流程。此外,还深入探讨了支持复杂重型装备智能营销链、供应链、服务链协同的共性关键技术,为复杂重型装备行业开展网络化协同制造提供了理论框架与参考。

武汉光谷大悦城高效制冷机房设计总结与探讨

从负荷计算、冷源设备配置、输配系统、控制策略等方面介绍了武汉光谷大悦城购物中心高效制冷机房的设计。该项目采用一级泵变流量系统,制冷机房全年平均设计能效比为5.2,制冷机房运行能效比达到5.54。对高效制冷机房能效比进一步提升的路径和手段进行了总结与探讨。

基于灰色关联协同效应权重配置的费用预测模型

费用预测是复杂装备成本管理的核心内容。在同类型复杂装备仅有少量样本信息的情况下,为提高估算预测精度,解决贫信息下费用影响要素筛选困难、要素间由于协同效应导致的权重分配不合理、费用预测误差较大等问题,提出了一种基于灰色关联协同效应贡献度分配的要素权重配置方法。首先通过灰色关联度分析筛选相似样本及费用关键影响要素;然后,依据各要素在协同效应下对灰色关联度提高的贡献程度大小,参考Shapley值思想计算各要素的灰色比较关联重要性,以此确定权重;最后,构建相应的异阶参数灰色分数阶预测模型,对目标装备进行费用预测。通过与已有文献中的方法进行对比,结果表明所提方法有较高的预测精度且具有一定的适用性,能够挖掘小样本下费用影响要素间的潜在信息,更可以合理地分配要素权重,提高费用预测精度。

复杂电子装备装配过程智能检测系统设计

复杂电子装备具有结构组成复杂、总装工序多、精度要求高、机电液高度耦合、在线检测困难等问题,如果出现零部件装配错误将导致返工。为了实现装配过程质量在线检测,设计了基于机器学习的图像检测系统。首先,根据装备尺寸设计了可移动图像采集装置及相机布置方案,能够适用于不同尺寸装备的图像采集需求;然后,针对采集到的图像存在的畸变问题进行校正,并通过图像融合实现分段图像的拼接;最后,采用深度学习算法实现图像的识别,并采用知识图谱实现检测结果还原。还原结果表明,该系统能及时发现装配过程中的缺陷,对漏装、错装的识别准确率达到99.5%以上,满足复杂电子装备装配过程零件装配状态检测的需求。

海上氢气液化系统(FLH2)浮式装置的教学实验设计

氢是推动海上水、风、光、电资源清洁高效利用的理想媒介,构建深海氢能产业体系对保障能源的供应安全、实现“双碳”目标、促进能源领域企业转型升级具有重要意义。为了开展氢能等海上新能源的实验教学活动,加深学生对机械设计基础(含课程设计)、流体力学(含实验)、氢能及新型能源动力系统、氢能存储与利用等专业课程内容的掌握,该文设计了应用于海上氢气液化系统(liquid hydrogen floating production storage and offloading unit,FLH2)的浮式多孔介质通道内外流动实验装置,包括浮式通道内多孔介质流动阻力测试实验装置与浮式通道外降膜流动测试实验装置两个部分。该装置具有较好的实验教学效果,可提升学生的工程实践能力和研究海洋能源高效利用领域的创新能力,拓展学生在深海氢能储运方面的知识储备。

基于贝叶斯网络强化学习的复杂装备维修排故策略生成

为解决传统启发式维修排故决策方法决策时间长、生成策略总成本高的问题,提出一种基于贝叶斯网络(BN)结合强化学习(RL)进行复杂装备维修排故策略生成方法。为更好地利用复杂装备模型知识,使用BN进行维修排故知识表述,并且为更加贴近复杂装备实际情况,依据故障模式、影响和危害性分析(FMECA)的故障概率,经合理转化后作为BN的先验概率;为使用RL的决策过程生成维修排故策略,提出一种维修排故决策问题转化为RL问题的方法;为更好地求解转化得到的强化学习问题,引入观测-修复动作对(O-A)以减小问题规模,并设置动作掩码处理动态动作空间。仿真结果表明:在统一的性能指标下,所提BN-RL方法较传统方法获得更高的指标值,证明该方法的有效性和优越性。