Smart Predictive Maintenance Using Industry 4.0 Principles: An Analysis in A Manufacturing Industry

被引：0

作者：

Silva, Sara ^{[1
]}

Oliveira, Miguel ^{[1
]}

Teixeira, Leonor ^{[2
]}

机构：

[1] Univ Aveiro, DEGEIT, P-3810193 Aveiro, Portugal

[2] Univ Aveiro, IEETA DEGEIT, P-3810193 Aveiro, Portugal

来源：

EDUCATION EXCELLENCE AND INNOVATION MANAGEMENT: A 2025 VISION TO SUSTAIN ECONOMIC DEVELOPMENT DURING GLOBAL CHALLENGES | 2020年

关键词：

Industry; 4.0; Predictive Maintenance; Sensors; Integrated Information System; PROJECT;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This work describes a case study carried out in a manufacturing company that intends to apply some concepts of Industry 4.0 in a maintenance pilot machine. To achieve this, maintenance machine problems were analyzed, and afterward, an action plan was proposed to start adopting predictive maintenance with the help of sensors connected to an information system. Thus, a new way of working was achieved, creating a smarter and more competitive maintenance field with the application of Industry 4.0, which in turn, represents more value to the company.

引用

页码：8325 / 8335

页数：11

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