Smart Society and Artificial Intelligence:Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance

The implementation of artificial intelligence(AI)in a smart society,in which the analysis of human habits is mandatory,requires automated data scheduling and analysis using smart applications,a smart infrastructure,smart systems,and a smart network.In this context,which is characterized by a large gap between training and operative processes,a dedicated method is required to manage and extract the massive amount of data and the related information mining.The method presented in this work aims to reduce this gap with near-zero-failure advanced diagnostics(AD)for smart management,which is exploitable in any context of Society 5.0,thus reducing the risk factors at all management levels and ensuring quality and sustainability.We have also developed innovative applications for a humancentered management system to support scheduling in the maintenance of operative processes,for reducing training costs,for improving production yield,and for creating a human–machine cyberspace for smart infrastructure design.The results obtained in 12 international companies demonstrate a possible global standardization of operative processes,leading to the design of a near-zero-failure intelligent system that is able to learn and upgrade itself.Our new method provides guidance for selecting the new generation of intelligent manufacturing and smart systems in order to optimize human–machine interactions,with the related smart maintenance and education.

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.

Procurement Method Selection for Building Maintenance Projects: The Case of Malaysian Public Universities

The purpose of this paper is to implement and validate a decision making framework for building maintenance projects. The growing importance of maintenance sector not only in Malaysia but al- so increasingly globalized, the difficulty in selecting an appropriate procurement method and lack of research in this area provide an impetus for this research. There were 19 procurement selection criteria identified. In addition, there were 4 types of procurements methods which include outsourcing by specialist term contract, outsourcing by tendered schedule term contract, out- sourcing by repair and maintenance contract and outsourcing by measured term contract identified to be the most popular procurement methods adapted by public universities currently and at the same time were considered most important. The decision making framework was developed based on AHP technique and principles. Expert Choice Software was employed as development tool where the criteria and alternatives were integrated into the framework. Finally, structured interview was conducted to validate the framework developed. The validation process was carried out through structured interview with selected public university.

Ship System Maintenance Strategy Selection Based on DELPHI-AHP-TOPSIS Methodology

Maintenance decision problems generally involve multiple criteria which apparently are best addressed using Multi-Criteria Decision Making (MCDM) tools. This paper describes the use of a hybrid MCDM technique in prioritizing maintenance strategy for ship systems. The Hybrid MCDM technique combines Delphi method, AHP and TOPSIS methods. While the Delphi method and AHP are applied in screening of decision criteria and decision criteria weights determination respectively, the TOPSIS method is used in the ranking of alternative maintenance strategies. Five alternative maintenance strategies which include corrected maintenance, scheduled overhaul, scheduled replacement, continuous on-condition task and scheduled on-condition task are considered and the optimum maintenance strategy is selected based on twelve critical maintenance decision criteria. To demonstrate the suitability of the approach a case study of sea water pump of the central cooling system of a marine diesel engine is used.

Analysis of the Improvement Methods for Equipment Maintenance Support

According to military requirement, and based on the problems of equipmentmaintenance support methods in high-tech battles, each element supporting equipment maintenance isanalyzed, and the methods for improving equipment maintenance are proposed.

Suggestion of Maintenance Criteria for Electric Railroad Facilities Based on Fuzzy TOPSIS

This paper is on the suggestion of maintenance items for electric railway facility systems.With the recent increase in the use of electric locomotives,the utilization and importance of railroad electrical facility systems are also increasing,but the railroad electrical facility system in Korea is rapidly aging.To solve this problem,various methodologies are applied to ensure operational reliability and stability for railroad electrical facility systems,but there is a lack of detailed evaluation criteria for railroad electrical facility system maintenance.Also,maintenance items must be selected in a scientific and systematic method.Therefore,railroad electrical facility systems are selected for study.Design StructureMatrix(DSM)is utilized to establish considerations tailored to the maintenance characteristics,and the Fuzzy-TOPSIS methodology is utilized for determining the maintenance detail evaluation item baseline weights,a multi-criteria decision-making problem.Studies show that degradation,insulation items have the highest weight of 14.63%,and capacity items have the lowest weight of 5.34%.The results of this may be contributed to the underlying research in carrying out maintenance activities to ensure the reliability and safety of railroad electrical facility systems.

Multiobjective maintenance optimization of the continuously monitored deterioration system

With the development of the monitoring technology,it is more and more common that the system is continuously monitored.Therefore,the research on the maintenance optimization of the continuously monitored deterioration system is important.The deterioration process of the discussed system is described by a Gamma process.The predictive maintenance is considered to be imperfect and formulated.The expected interval of two continuous preventive maintenances is derived.Then,the maintenance optimization model of the continuously monitored deterioration system is presented.In the model,the minimization of the expected operational cost per unit time and the maximization of the system availability are the optimization objectives.The improved ideal point method with the normalized objective functions is employed to solve the proposed model.The validity and sensitivity of the proposed multiobjective maintenance optimization model are analyzed by a numerical example.

Comprehensive Evaluation of Service Level of Transmission Equipment Maintenance Plan

With the interconnection of power grid, the increase of coupling, the rapid development of new energy, the inter-provincial cross-regional power market transactions, it is an important way that the integrated presentation of grid outage maintenance plan to ensure the safety of power grid, ensure the normal operation of the market, improve the efficiency of maintenance and reduce the cost of maintenance. Maintenance plan is in the annual, monthly, daily and other dimensions of time rolling management process. Maintenance planning level assessment can improve the service level of maintenance plan compilers and the efficiency of maintenance, it also achieves fine management of the power grid. This paper presents an evaluation model of maintenance business level, which is a comprehensive evaluation model of multi-index. The indexes in the model are based on the maintenance service level measurement, the efficiency of the maintenance plan, the emergencies of the maintenance plan and others Impact factors and other aspects of multi-angle assessment. The validity and correctness of the evaluation system and the comprehensive evaluation method are verified by the analysis of practical examples.

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.

Selection of Water Transmission Method and Analysis of Pipe Network Zoning in Municipal Water Supply and Drainage Design

With the acceleration of urbanization,the demand for water supply and drainage pipe networks has increased significantly.In the planning of urban construction,it is necessary to optimize the design of the water supply and drainage system pipe network to effectively save energy while providing residents with more accessible water resources.Therefore,the municipal water supply and drainage system and the water transmission methods should be designed according to the geographical conditions of the city.In this paper,we mainly analyze the design of municipal water supply and drainage systems and the selection of water transmission methods.Besides,the optimization of the water supply and drainage network zoning process and pipe network maintenance is also discussed,so as to provide a reference for municipal water supply and drainage work.

Development and Application of Two-Dimensional Numerical Model on Shallow Water Flows Using Finite Volume Method

This present study develops a 2-D numerical scheme to simulate the velocity and depth on the actual terrain by using shallow water equations. The computational approach uses the HLL scheme as a basic building block, treats the bottom slope by lateralizing the momentum flux, then refines the scheme using the Strang splitting to deal with the frictional source term. Besides, a decoupled algorithm is also adopted to compute the aggradation and degradation of bed-level elevation by using the Manning-Strickler formula and Exner’s relationship. The main purpose is to set up the window interface of 2-D numerical model and increase the realization of engineers on these characteristics of hydraulic treatment and maintenance.

GEPUR： A Method for Managing a Road Network by and for Local Authorities

France has about one million kilometres of roads, 98% of which are managed by departments （the French Administrative Area Departement） and municipalities. Because of growing social expenditures, these local authorities are reducing credits for roads, which is leading to a reduction in the length of roads serviced annually, and an expected deterioration of roads generally. Faced with this problem, departmental and urban project designers in the eastern region of France have been meeting within the GEPUR （＂Gestion et Entretien du Patrimoine Urbain et Routier＂ or ＂Urban and Road Heritage Management and Maintenance＂） group since September 2012, to： firstly, develop a method for road network management and programming of assistance based on the experiences of each participant, a modular method depending on the size of the road network and adapted to the contracting authority; secondly, give technical legitimacy to the managers who will be applying the method. They will be able to more easily set up a constructive dialogue with the elected officials in charge of roads, and better justify the use of the credits requested. Two methodological guides will be published, one intended for departmental networks （2015）, the other for municipal networks in mid-2017. A white paper for elected officials has also been drafted. Ultimately, this experience will be extended throughout France.

基于DEMATEL-ISM方法的水电站机组检修作业安全事故致因链分析

针对水电站机组检修作业种类和危险因素多、安全事故频发等问题,通过文献挖掘与专家访谈方式,对水电站机组检修作业安全影响因素类别进行了划分。基于DEMATEL-ISM方法,构建了安全事故致因多层次递阶ISM模型来确定事故致因因素层级,通过剖析事故致因因素的中心度和权重,挖掘关键致因因素和推求事故致因链的路径权重,厘定关键致因链。采用该模型对某水电站致因链进行了分析,结果表明,安全检查不到位为关键致因因素,“安全检查不到位→违规作业→设备的问题→粉尘、油漆等有害物质”为关键致因链。

费曼式学习法在低年资护士儿童PICC维护培训中的应用

目的:探讨费曼式学习法在低年资护士儿童经外周静脉置入中心静脉导管(PICC)维护培训中的应用。方法:2022年3月—12月选取无锡市儿童医院80名低年资护士参与儿童PICC导管维护培训,采用随机数字表法将其分为观察组及对照组,每组40人。对照组行规范性培训,观察组应用费曼式学习法,比较两组护士规范化培训参与率、PICC置管知识及技能考核评分、护士自主学习能力及PICC知信行评分。结果:观察组护士第4次~第6次培训参与率明显高于对照组(P<0.05);观察组培训结束时PICC置管知识评分、技能考核评分、护士自主学习能力评分及PICC知信行评分高于对照组(P<0.05)。结论:费曼式学习法可提升低年资护士参与儿童PICC维护培训参与率,改善低年资护士自主学习能力及PICC维护知信行水平,有助于护士PICC维护知识及维护技能的提升。

达芬奇手术机器人患者手术平台组成原理及故障检修案例分析

随着“精准医疗”理念的推广,达芬奇手术机器人在外科手术中的应用日益受到重视,该机器人系统由医生控制平台、影像处理平台和患者手术平台组成,能够实现高精度、微创的外科手术。患者手术平台是其核心部分,包含多条机械臂和舵柄,舵柄具有快速定位、灵活性和精确控制等功能,确保手术的顺利进行。尽管达芬奇手术机器人在技术上具有显著优势,但其高昂的费用和复杂的维护需求使得医院面临挑战。为提升医院自身的维修维护能力,重点分析达芬奇手术机器人患者手术平台的组成原理,尤其是舵柄的构造与工作原理,并通过对患者手术平台具体的故障案例分析,探讨常见故障的检修方法,以期为医院提供有效的维护策略,降低运营成本,提升医疗效益。

基于改进灰色关联法的装备维修优先级评估

针对现有装备维修优先级评估方法考虑资源约束多、战时因素少的问题,提出了一种改进的灰色关联装备维修优先级评估方法。首先,构建了装备维修优先级评估指标体系,将系统客观信息权重、指挥员主观信息权重、作战进程影响权重相组合,提高评价指标的可靠性;然后,利用淘汰循环法与灰色关联法相结合,建立了维修优先级评估模型;最后,对模型进行了实例验证。研究结果表明:所提方法评估结果准确,具有一定的参考价值。

捣固装置与有砟道床相互作用及捣固频率的影响研究

捣固频率是大型养路机械作业的关键参数,影响捣固作业动力作用及养修效果。基于压电效应研发了能适应复杂、恶劣捣固作业环境的动态冲击力传感器,自主设计了高精度、高时效的捣镐冲击力测试方法,通过现场试验研究了捣固频率对捣镐冲击力及道床力学质量状态的影响;基于离散元与多柔性体动力学耦合算法构建了捣固装置-有砟轨道精细化系统模型,通过仿真计算研究了捣固频率对道砟受力特征及运动行为的影响。结果表明:在一定范围内增大捣固频率可减小捣镐冲击力,同时提高道床力学质量状态;当捣固频率为30 Hz~40 Hz时,道砟受力相对较小,最不易发生劣化现象,且道砟运动最充分,养修效果最佳。

热障涂层在航空发动机涡轮叶片上的应用、失效与维护

航空发动机涡轮叶片热障涂层对延长涡轮叶片的使用寿命具有至关重要的作用。首先概述了航空发动机热障涂层的重要性,其次归纳了航空发动机涡轮叶片热障涂层的制备技术及应用特点,主要对大气等离子、电子束物理气相沉积、等离子喷涂-物理气相沉积等3种热障涂层进行了论述。在此基础上,重点阐述了热障涂层在航空发动机涡轮叶片中的典型失效形式,包括高温氧化失效、热腐蚀失效及颗粒物冲击,对以上失效形式的失效机理进行了重点论述。最后结合发动机状态监控及涡轮叶片孔探技术,对涡轮叶片热障涂层的常见典型失效给出了工程案例分析与建议。

考虑故障关联不确定性的海上风电机组预防性维护策略优化方法

针对海上风电机组部件故障关联作用的不确定性量化及维护策略优化问题,提出了一种考虑故障关联不确定性的海上风电机组预防性维护策略优化方法。首先,采用区间分析方法对故障关联不确定性进行量化,引入区间故障关联系数描述故障关联的不确定性对机组部件可靠度的影响。其次,根据部件运行状态信息,利用神经网络捕捉故障关联图的时空特征,构建基于图注意力-门控循环单元神经网络(GAT-GRU)的故障关联预测模型,形成区间故障关联系数矩阵。最后,以维护费用最低为目标函数,部件可靠性指标为约束条件,构建了考虑故障关联不确定性的联合维护模型,优化各部件的预防性维护时间区间。算例仿真结果验证了所提方法的有效性和经济性。