Title:	Predictive maintenance as an intelligent service in Industry 4.0
Authors:	Poór, Peter Basl, Josef
Citation:	POÓR, P., BASL, J. Predictive maintenance as an intelligent service in Industry 4.0. Journal of Systems Integration, 2019, roč. 10, č. 1, s. 3-10. ISSN 1804-2724.
Issue Date:	2019
Publisher:	Czech Society of Systems Integration
Document type:	článek article
URI:	http://hdl.handle.net/11025/36566
ISSN:	1804-2724
Keywords in different language:	predictive maintenance, Industry 4.0, services, intelligent, CMMS
Abstract in different language:	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.
Rights:	© Czech Society of Systems Integration
Appears in Collections:	Články / Articles (KPV) OBD

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