A Review on Self-Recovery Regulation(SR)Technique for Unbalance Vibration of High-End Equipment

The high-end equipment represented by high-end machine tools and aero-engines is the core component of the national intelligent manufacturing plan,and the mass unbalance is the main reason for its excessive vibration,that seriously impacts the operation efficiency and running life of the equipment.In order to change the traditional way that the fault of equipment can only be repaired by human,the self-recovery mechanism of human and animal are given to the equipment in this paper,which forms the self-recovery regulation(SR)system for unbalance vibration of high-end equipment.The system can online generate the self-recovery force to restrain the unbalance vibration of the equipment in operation,which is an important direction for the development of the equipment to the advanced intelligent stage.Based on the basic principles of SR technique,the typical engineering application cases of this technique in the field of aeroengine and high-end machine tools are introduced,and four related studies promoting the development of this technique are summarized and analyzed in turn.It includes feature extraction,imbalance location,regulation method and balancing actuator.Self-recovery Regulation(SR)Technique is an important way to realize intelligent manufacturing and intelligent maintenance.Relevant research can lay a technical foundation for the development of high-end equipment with self-health function.

High-end equipment development task decomposition and scheme selection method

Decomposition of tasks and selection of optimal schemes are key procedures in high-end equipment development processes.However,such procedures are highly innovative,technology intensive,interdisciplinary,and multi-party engineering projects,making the decomposition and scheme selection more difficult and complicated than that in the development of ordinary equipment.In this study,we consider three factors,namely,functional structure,task granularity,and task feasibility in task decomposition of high-end equipment development.Based on the principles of systems engineering,a method of task decomposition is proposed.As for decomposition scheme selection,a method based on the superiority and inferiority ranking(SIR)method mixed information and multiple attribute decision making is proposed by considering attributes of scheme feasibility,uncertainty risk and task integration complexity.To verify the proposed method,development of a military electric vehicle is used as an example to demonstrate the calculation process.

Equipment damage measurement method of wartime based on FCE-PCA-RF

As the“engine”of equipment continuous operation and repeated operation, equipment maintenance support plays a more prominent role in the confrontation of symmetrical combat systems. As the basis and guide for the planning and implementation of equipment maintenance tasks, the equipment damage measurement is an important guarantee for the effective implementation of maintenance support. Firstly,this article comprehensively analyses the influence factors to damage measurement from the enemy’s attributes, our attributes and the battlefield environment starting from the basic problem of wartime equipment damage measurement. Secondly, this article determines the key factors based on fuzzy comprehensive evaluation(FCE) and performed principal component analysis (PCA) on the key factors. Finally, the principal components representing more than 85%of the data features are taken as the input and the equipment damage quantity is taken as the output. The data are trained and tested by artificial neural network (ANN) and random forest (RF). In a word, FCE-PCA-RF can be used as a reference for the research of equipment damage estimation in wartime.

Based on the Talent Accumulation Effect of High-end Equipment Manufacturing Industry Competitiveness Research

In the current economic development, the competitiveness of the traditional pattern is backward, so under the background of the high-end equipment manufacturing industry development facing of great pressure, how to obtain new competitive power to achieve sustained competitive advantage, how to develop from equipment manufacturing power to the development of equipment manufacturing power becomes the focus of the present. In this paper, based on talent accumulation effect, then analysis the advantages of high-end equipment manufacturing industry talents converging forces and its access to obtain talent agglomeration competitiveness.

Statistical approach to determination of overhaul and maintenance cost of loading equipment in surface mining

The purpose of this research was to develop a new approach in determination of overhaul and maintenance cost of loading equipment in surface mining. Two statistical models including univariate exponential regression (UER) and multivariate linear regression (MLR) were used in this study. Loading equipment parameters such as bucket capacity, machine weight, engine power, boom length, digging depth, and dumping height were considered as variables. The results obtained by models and mean absolute error rate indicate that these models can be applied as the useful tool in determination of overhaul and maintenance cost of loading equipment. The results of this study can be used by the decision-makers for the specific surface mining operations.

Study of Enterprise Equipment Maintenance Management Integrated Information System Based on B/S

Equipment maintenance management integrated information system is an important constituent part of enterprise IMS (Intelligent Manufacture System). The system should make the best of all kinds of information sources around the enterprise, and meet the demand for agile production. This paper presents an implementation scheme of Integrated Equipment Maintenance Management Information System Based on Internet/Intranet and gives component division scheme of each tier. This scheme adopts a three-tiers mode of B/S (Browser/Server) and software programming module based on software reusing technology. This makes the system integrated and open, makes maintenance and updating convenient, and largely increases software safety and reusability.

A review of bio-inspired geotechnics-perspectives from geomaterials,geo-components,and drilling&excavation strategies

As urbanization progresses,the demand for high-rise buildings and underground spaces is growing,and the need for firm geotechnical construction materials,efficient excavation methods,accurate testing instruments,and innovative geotechnical engineering theories and technologies is increasing.By investigating the phenomena of strengthening and toughening in nature,hydrophobic and ice-phobic,friction anisotropy and drilling as well as excavation,etc,researchers have found that organisms have distinctive external morphology and organization.By imitating the external morphology,structural characteristics or movement mechanism of organisms,novel ideas,new principles,and innovative theories can be provided for the innovation and sustainable development of geotechnical engineering.This paper mainly expounds on the bio-inspired application in geotechnical engineering from three perspectives:geo-materials,geotechnical components,and drilling&excavation equipment,and lists typical application cases.In conclusion,this paper presents a summary and prospects of bio-inspired geotechnical engineering,offering fundamental insights for future research.

Research on Software Structure Analysis Technology and Reliability Evaluation Method of Warship Equipment

In view of the current reliability evaluation requirements of warship equipment based on component, this paper comprehensively considered the characteristics of components,and the component identification method, structural decomposition method,component architecture modeling method were studied for warship equipment software. Based on the characteristics of warship equipment component, this paper proposed a formal modeling language based on Petri nets to realize the modeling of component software architecture and laid a foundation for the reliability evaluation method research of warship equipment component.

Experimental Evaluation of Fixing Equipment for Improving the Efficiency of Modular Unit Systems

Modular unit systems provide an eco-friendly advanced construction method that improves productivity and reduces carbon emissions and construction waste. In these systems, the prefabrication ratio of the modules should be high in order to support these eco-friendly features. The purpose of this study was to verify the functionality and driving safety of fixing a modular unit with a high prefabrication ratio to a vehicle for transportation to the site using two novel adapter blocks specially developed for this purpose. When asked to evaluate their performance for this study, the truck drivers selected adaptor block type B as providing the highest convenience and functionality. In real-world driving experiments, maximum loads of 15 kN and 25 kN were measured on adapter block types A and B, respectively. Future improvements in the adapter blocks that take the safety ratio and the improved convenience of use into account are confidently expected to contribute to the eco-friendliness and the improved productivity of modular unit systems.

Numerical Controlled Processing Techniques for Optical Components

Comparied to traditional optical processing methods,numerical controlled surfacing techniques have irreplaceable effects especially in spherical and aspherical optics. In this paper,fabricating methods,mechanisms and processes are analyzed. Also,some processing difficulties and problems are discussed. The possible improvements and feasible methods are given.

Design and Application of a Reconstruction System for Engineering Equipment Fault Diagnosis

It is difficult to develop the corresponding fault diagnosis system and the software reusability is bad because the engineering equipment types are so many and their performance is diverse. This paper discussed the solution to engineering equipment integrated fault diagnosis system based on component technology, put forward the sys- tem model and gave the system frame design process and working principle. The software was designed based on the three-layer hierarchy. It is easy to rease and maintain, and the operation of the software is simple. A kind of new theory and method to develop the engineering equipment fault diagnosis system for the future was provided.

螺旋电缆用新型拉伸疲劳试验设备的设计

为了对同一批次的螺旋电缆进行抽样检测,需要借助于专用的拉伸疲劳试验设备来实施。针对目前该行业中所使用的相关试验设备的不足,提出了一种采用普通电机驱动、拉伸行程及频率可调、具备线芯断裂记录功能的新型设备。介绍了试验设备的设计制造方案,并着重对机构设计和构件设计过程进行了具体的阐述及论证。

金属增材制造装备质量可靠性问题及工作体系研究

以增材制造构件为中心综述了增材制造工艺质量可靠性工作开展的现状,分析了影响构件质量的主要因素,梳理了典型增材装备常见故障模式及主要的验收测试标准及方法,剖析了国内增材制造装备可靠性工作现存问题,最终构建了涵盖增材制造装备及其关键功能部件设计、制造、验收、使用的质量可靠性工作体系,为增材制造装备质量可靠性工作的开展提供了一定的参考和建议。

COTS元器件装备应用标准研究

商用现货(Commercial-Off-The-Shelf,COTS)元器件具有性能较高、通用性好、采购成本低、时间周期短等优点,在国外装备系统上得到了广泛应用。标准是电子元器件管理和质量可靠性保障工作的重要手段,贯穿于元器件科研生产和整机装备配套使用过程。文章基于COTS元器件的技术特性和应用风险分析,系统梳理了国内外COTS元器件装备应用相关标准,主要包括通用管理标准、使用质量保证标准和产品质量标准。研究国外COTS元器件装备应用的标准化技术内容,结合我国相关标准情况,提出了标准化工作建议参考。

神东煤矿机电设备大型部件安全库存分析

为探讨煤矿机电设备大型部件安全库存的必要性以及对煤企安全生产的影响,通过调研国能神东机电设备大型部件库存的现状,给出了保障国能神东煤矿机电设备大型部件安全库存的具体措施。分析认为,开展机电设备大型部件库存统计对实现国能神东在管理上的提质降本增效有重要的作用,且在实践中应建立一套符合神东模式的机电设备大型部件安全库存储备标准,有助于为设备管理提供科学精准的参考。

基于故障树分析法的舰载武器装备电子元器件及PCB的失效研究

目的 对极端海洋环境下某型舰声呐装置中的多功能信号发生器进行失效研究。方法 使用故障树分析法作为失效分析基本方法。首先通过微焦点CT检测技术对样品进行准确的失效定位,并通过扫描电子显微镜和能谱分析样品的失效机理。然后结合应用背景,分析归纳样品失效的机理因子和影响因素。最后,针对每种失效形式提出具体的改善方案。结果 由电阻本身表面形貌、额定温度及外部环境(高温、高湿、高盐)等原因,导致含有盐雾的水汽进入电阻内部,致使电阻内部出现电化学迁移现象,电阻阻值因此明显降低,最终导致多功能信号发生器出现失效。结论 舰艇中的电子设备,如多功能信号发生器的失效往往是由设计制造及各种海洋环境因素综合作用所造成的。这就要求舰载电子设备的研制方、使用方都应重视海洋环境适应性问题,并采取一定的改善措施。

基于AMEsim的固沙装备升降液压系统设计与仿真

【目的】针对硬质草沙障固沙装备升降液压系统承载能力大、可靠性高等要求。【方法】通过分析升降液压系统的工作原理,进行理论计算对关键液压元件设计选型,采用AMEsim软件建立液压系统仿真模型进行仿真分析,并设计固沙装备举升试验进行对比验证。【结果】液压缸最大压力为3.17MPa,最大流量为34.90L/min,液压泵最大压力为17.60 MPa,最大流量为72.65 L/min,均与仿真分析结果具有良好的一致性,符合设计的预期要求,验证了设计的准确性。【结论】该仿真分析为硬质草沙障固沙装备升降液压系统设计提供了技术理论参考和数据分析基础,为固沙装备实际应用提供了保障。

改进的RetinaFace复杂构件关键点检测算法

为了解决航天装备复杂构件进行喷涂作业时难以定位、缺少关键点数据集等问题,在三维建模软件上搭建构件模型,通过截图和标记关键点制作数据集,并针对数据集量少的问题采取数据增操作。研究现有的RetinaFace关键点检测算法并进行改进,将主干特征提取网络采用优化的MobileNet结构,学习率采用余弦退火衰减,算法输入、输出张量长度与不同构件对应的关键点数相一致。实验结果表明,模型迭代500轮后在验证集上的平均误差降至0.062,能够有效地检测出待喷涂构件的关键点,性能优于同类算法。

基于点特征传递的电力设备部件激光点云补全网络

针对电力场景下因激光雷达扫描范围有限、电力设备部件相互遮挡等因素导致电力设备部件点云缺失的问题,提出了基于点特征传递的电力设备部件激光点云补全网络PPC-Net(PowerPointcloudCompleteNet)。该网络使用多尺度特征融合编码器提取不同尺度输入残缺点云的全局和局部特征,以避免多维度映射特征导致的电力设备部件细节特征丢失问题,并引入EdgeConv加强对点云邻域信息提取;在精细完整点云生成阶段提出DT模块整合父级点到子级点的特征传递,以保留生成点云的局部特征;设计平滑优化模块,经三级平滑采样算法输出分布均匀、表面平滑的电力设备部件完整点云。在自建电力设备部件点云数据集ELE及公开数据集PCN上实验表明,PPC-Net对残缺的电力设备部件点云有较好的补全效果,并在一般形状点云上有良好泛化性。

融合彩色模型空间的电力设备红外图像增强

电力设备红外图像普遍存在亮度暗、对比度低等问题,针对此现象,提出了一种融合彩色模型空间的图像增强算法。该方法将图像的对比度与亮度增强转换至HSV与RGB空间中分别进行处理:RGB空间中,首先预处理图像中的高灰度级,并采取混合滤波的方式抑制图中噪声,然后使用增强函数提高图像亮度,最后将增强图像转换至HSV空间中并提取H、S、V三分量图;HSV空间中,采用伽马变换和CLAHE(contrast limited adaptive histogram equalization)算法实现V分量的亮度提升,并采取非线性饱和度矫正函数处理S分量提升图像对比度,最后将处理分量与提取分量进行对应融合得到HSV空间中的增强图像,并将其转回RGB空间中得到最终的输出图像。实验结果表明,本文算法能明显地提升红外图像的亮度与对比度,增强后的3组图像其灰度均值和标准差平均值分别为115.94和78.65,相对于原图的平均值分别提升了81.59和36.17。