Predictive maintenance as an intelligent service in Industry 4.0

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F19%3A43955936" target="_blank" >RIV/49777513:23210/19:43955936 - isvavai.cz</a>
Result on the web
<a href="http://si-journal.org/index.php/JSI/article/viewFile/364/181178224" target="_blank" >http://si-journal.org/index.php/JSI/article/viewFile/364/181178224</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.20470/jsi.v10i1.364" target="_blank" >10.20470/jsi.v10i1.364</a>

Result language
angličtina
Original language name
Predictive maintenance as an intelligent service in Industry 4.0
Original language description
Current trend of digitization offers a whole new approach to providing maintenance services. From sensors to cloud, production data is a unique opportunity to declare a real added value for maintenance work. Predictive maintenance is one of the key elements of the Industry 4.0 concept associated with the emerging digitalization of industry. The purpose of predictive maintenance is to predict the status of production equipment and detect potential failure. Practical implementations of predictive maintenance are already found in a number of industrial companies, either in the partial form of maintenance according to technical condition, or in diagnostic maintenance, and in the form of actual equipment wear prediction and planned maintenance. Predictive maintenance extends routine health monitoring to look into the future of machines, offering options to increase efficiency and reduce overall operating costs. First part of this article presents the term of maintenance, its definition and role in the company. Also, various types of machinery maintenance types are presented. Next part of the article focuses on predictive maintenance.
Czech name
—
Czech description
—

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)