2019•Digital Library (University of West Bohemia)Open access

Predictive maintenance as an intelligent service in Industry 4.0

Peter Poór, Josef Basl

Open full text 8 citations

Abstract

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.

Open-access reader

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

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.

Key concepts: Predictive maintenance, Digitization, Operational maintenance, Engineering, Production (economics), Service (business), Proactive maintenance, Planned maintenance

Related papers

Back to paper searchBrowse research topicsOriginal source
Predictive maintenance as an intelligent service in Industry 4.0 — Research Paper | ScholarLens