基于工业4.0的多级联网工业机械零故障维护方法

IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY
Francisco Javier Álvarez García, Óscar López Pérez, Alfonso González González, David Rodríguez Salgado
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引用次数: 0

摘要

随着市场的变化,工业制造系统的复杂性也在不断提高。这种复杂系统的最大挑战之一是在没有意外故障的情况下达到计划生产批次,寻找零缺陷。多阶段机器(MSM)在工业制造系统中的存在允许在很短的时间内生产大批量。然而,这些类型的机器通常是作为临时机器制造的,并且没有测试预防性或预测性行动的维护策略。此外,如果这台机器的一个部件故障,整个机器故障,造成生产批次的损失。最近的出版物已经为工业多级机器开发了本地预防性和预测性维护策略,作为不同地方具有本地工作条件的单个机器。然而,一个MSM积累的知识不能作为相关信息来改善其他MSM的维护行动。本研究开发并提出了一个网络系统,称为主维护管理(MMM),以建立与所有MSM的连续连接,作为一个数据记录器,收集所有MSM的所有相关信息,并为机器提出维护警告预测和预防性警告,并将其用于在相同条件下工作的每个MSM的其余部分的预防行动。因此,一台机器采取本地预测行动的能力由MMM执行,以便在连接到同一网络的其他机器中采取预防行动。这种方法是用热成型多阶段机器开发的,这些机器有基于个人维护时间的局部预防性维护策略和基于机器中一些分布式传感器的预测性维护策略,以及一种称为数字行为孪生(DBT)的行为算法。这种方法最相关的好处是通过使用其他MSM积累的信息来限制连接机器中的意外故障,将预测动作更改为预防动作,以及通过收集所有数据库建议的设计更改来执行机器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Approach to Zero-Failures Maintenance Using Industry 4.0 in Network Connected Multistage Industrial Machines
The industrial manufacturing systems are increasing in complexity to market changes. One of the best challenges of this complex systems is reach the schedule production baches without unexpected failures, looking for the zero defects. The presence of Multistage Machines (MSM) at industrial manufacturing systems allow to produce big batches in very short times. Nevertheless, these types of machines normally are manufactured as an ad hoc machine and have not maintenance strategies tested for preventive or predictive actions. Also, if a component of this machine fails, the entire machine fails, causing the loss of the production batch. Recent publications have developed local preventive and predictive maintenance strategies for industrial multistage machines, as an individual machines with local work conditions in different places. Nevertheless, the accumulated knowledge of a MSM cannot be used as relevant information to improve maintenance actions in other MSM. This research develops and proposes a network system, called Master Maintenance Management (MMM) to establish a continuous connection with all MSM, working as a datalogger who collects all relevant information for all MSM and suggest maintenance warning predictive and preventive warnings for machines and use them for preventive actions in the rest of each MSM working at the same conditions. So, the capability of one machine for take a local predictive action is performed by the MMM to take a preventive action in the other machines connected to the same network. This approach has been developed with thermoforming multistage machines, who have local preventive maintenance strategy based on individual maintenance times and predictive maintenance strategy based on some distributed sensors in the machine and a behaviour algorithm, called Digital Behaviour Twin (DBT). The most relevant benefits of this approach are the limitation of unexpected failures in the connected machines by using accumulated information of other MSM, the change of the predictive actions to preventive actions, and the machine perform by design changes suggested with all the database collected.
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来源期刊
Advances in Science and Technology-Research Journal
Advances in Science and Technology-Research Journal ENGINEERING, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
27.30%
发文量
152
审稿时长
8 weeks
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