Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance is an approach that utilises the condition monitoring data to predict the future machine conditions and make decisions upon this prediction. The main aim of the presented research is to achieve an improvement in condition based Predictive Maintenance through the Cloud-based approach with usage of the largest information content possible. The objective of this paper is to outline the first steps of a framework to handle and process maintenance, production and factory related data from the first life-cycle phase to the operation and maintenance phase
This paper addresses the problem of predictive maintenance in industry 4.0. Industry 4.0 revolutioni...
AbstractMaintenance and support may account for as much as 60 to 75% of the total lifecycle cost of ...
AbstractMaintenance and its cost continue, over the years, to draw the attention of production manag...
Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quali...
Abstract: Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, pro...
Proper maintenance of manufacturing equipment is crucial to ensure productivity and product quality....
In the era of the fourth industrial revolution, several concepts have arisen in parallel with this n...
The research presented in this thesis is focused on improving industrial maintenance by using better...
Current trend of digitization offers a whole new approach to providing maintenance services. From se...
In global manufacturing, manufactures from various nations aim to enhance their performance by impro...
In the current manufacturing world, the role of maintenance has been receiving increasingly more att...
Combining data analytics and process knowledge to predict machine failures in advance: Tomorrow’s pr...
Predictive maintenance has the potential to improve the reliability of production and service provis...
Continuously rising production costs and efficiency requirements present challenges for manufacturin...
The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent the foundations for i...
This paper addresses the problem of predictive maintenance in industry 4.0. Industry 4.0 revolutioni...
AbstractMaintenance and support may account for as much as 60 to 75% of the total lifecycle cost of ...
AbstractMaintenance and its cost continue, over the years, to draw the attention of production manag...
Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quali...
Abstract: Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, pro...
Proper maintenance of manufacturing equipment is crucial to ensure productivity and product quality....
In the era of the fourth industrial revolution, several concepts have arisen in parallel with this n...
The research presented in this thesis is focused on improving industrial maintenance by using better...
Current trend of digitization offers a whole new approach to providing maintenance services. From se...
In global manufacturing, manufactures from various nations aim to enhance their performance by impro...
In the current manufacturing world, the role of maintenance has been receiving increasingly more att...
Combining data analytics and process knowledge to predict machine failures in advance: Tomorrow’s pr...
Predictive maintenance has the potential to improve the reliability of production and service provis...
Continuously rising production costs and efficiency requirements present challenges for manufacturin...
The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent the foundations for i...
This paper addresses the problem of predictive maintenance in industry 4.0. Industry 4.0 revolutioni...
AbstractMaintenance and support may account for as much as 60 to 75% of the total lifecycle cost of ...
AbstractMaintenance and its cost continue, over the years, to draw the attention of production manag...