The main purpose of this article is to analyze status of companies’ readiness factor for 4th industrial revolution. Based on our previous research, firstly machinery maintenance as a phenomenon and its place in a production process is presented. Since every author defines machinery maintenance on its own, we try to choose one, which "fits" best for us. Various types of different approaches to maintenance (based on historical, socio-economic or production factors) are presented with a correlation between the industrial revolutions and machinery maintenance.The main part of the article presents an ideal model proposition of maintenance in Industry. This was based on three main components: hardware, software, humans, and organization which have undergone tremendous transformation as a result of the development of industry and the incorporation of contemporary technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. This paradigm aims to promote a shift from traditional reactive maintenance procedures to more advance preventive and predictive maintenance activities were fully discussed.

Overview of Maintainance Ideal Model in Industry-4.0

Missile equipment support system is a complex system involving mission profile, operating environment, support personnel, resource scheduling, and other factors, and most of the equipment failures are a process of continuous evolution over time. Based on the characteristics of equipment functions or performance parameters and current detection methods, only part of equipment health degradation trend can be monitored. Therefore, it is necessary to carry out the support system simulation considering the equipment failure and health state comprehensively. In this paper, a mission-oriented modeling framework of missile equipment support system based on agent is proposed. Agents of equipment, support, management, and environment are abstracted. The behavior logic, information transmission link, and interaction mechanism among agents are explained. The failure occurrence handling mechanism and health state degradation handling mechanism are determined. The equipment recovery behavior model, including equipment health state control model, corrective maintenance behavior model, and system reconstruction behavior model, are constructed, and the simulation process and implementation method are explained. Finally, a certain type of missile equipment is taken as an example for simulation. The results show that the mean time between failures can be extended and the times of corrective maintenance can be reduced by maintenance support with integrated consideration of equipment failure and health deterioration. In addition, the simulation results show the variation trend of equipment availability, which can lay a solid foundation for the optimization design of equipment support resources in the future, so as to improve the availability of equipment in the whole life cycle.

/pdf/mission-oriented-missile-equipment-support-system-modeling-3hsqq2sz.pdf

Mission-Oriented Missile Equipment Support System Modeling: Considering the Failure and Health State

针对导弹装备, 尤其是新研装备或历史经验数据欠缺的装备, 在设计阶段保障方案规划不合理的问题, 提出了一种多扰动下面向设计的导弹装备保障系统仿真方法。构建了分层分块的混合递阶仿真框架, 抽象出装备保障过程中的装备类、保障类、管理类、环境类智能体, 并根据保障流程确定了这4类智能体的交互机制及信息传递链路。分析了影响装备保障决策的2类扰动, 建立了装备故障扰动和人员失误扰动模型, 采用双时钟机制实现仿真过程中的扰动注入, 并根据装备维修保障流程及智能体状态跃迁过程建立了保障系统的恢复行为模型。选取了某型导弹装备开展实例仿真, 将保障资源仿真结果与装备初始设计方案和装备实际需求情况进行对比, 验证了仿真系统的正确性, 为在设计阶段制定合理科学的装备保障方案提供了新思路。

Simulation on design-oriented missile equipment support system under multiple disturbances

This paper takes typical air defense equipment as an object, analyzes the characteristics of the data in the whole life cycle of equipment, sorts out the data mining requirements in support design of equipment in demonstration, scheme and development stages, including spare parts design analysis, fault analysis, preventive maintenance analysis, state-based maintenance analysis, using data analysis requirements involved in data mining, and puts forward the realizing methods of data analysis and mining. It can greatly improve the comprehensive support design level of air defense equipment.

Application of data mining in air defense equipment support design

The core of missile equipment support task is to improve the availability of equipment. Support scheme simulation is an economical, feasible and efficient method to evaluate the effect of equipment support. According to the characteristics of air defense missile equipment, the modeling framework of missile equipment support scheme based on Agent is proposed, and the state change warning modeling and equipment support scheme modeling are carried out. The simulation process and concrete implementation method are explained. Finally, a certain type of missile equipment is taken as an example to verify the simulation results. The simulation results show that the established model can reflect the actual health status of the equipment, and the availability of the equipment can be improved according to the maintenance support strategy given by the simulation.

https://iopscience.iop.org/article/10.1088/1742-6596/2228/1/012008/pdf

Modeling and simulation of equipment support scheme based on Agent

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Mission-Oriented Missile Equipment Support System Modeling: Considering the Failure and Health State

Simulation on design-oriented missile equipment support system under multiple disturbances

Application of data mining in air defense equipment support design

Modeling and simulation of equipment support scheme based on Agent