Abstract
This paper describes a methodology, developed by the authors, for condition monitoring and diagnostics of several critical components in the large-scale applications with machines. For industry, the main target of condition monitoring is to prevent the machine stopping suddenly and thus avoid economic losses due to lack of production. Once the target is reached at a local level, usually through an R&D project, the extension to a large-scale market gives rise to new goals, such as low computational costs for analysis, easily interpretable results by local technicians, collection of data from worldwide machine installations, and the development of historical datasets to improve methodology, etc. This paper details an approach to condition monitoring, developed together with a multinational corporation, that covers all the critical points mentioned above.
Highlights
The increasing demand for more complex automation machines endowed with high efficiency, reliability, safety, and product quality requires automation companies to develop and improve cyber-physical systems (CPS) and Internet of Things (IoT) systems
When applied to the packaging machines, the advantage of the proposed condition-monitoring framework is in terms of a strengthened relationship with the customer through mutual trust, thanks to win–win situation where the client saves days of unplanned stoppages and the supplier delivers a digital service
This paper presents a condition-monitoring methodology used in order to develop a condition-based maintenance program in a real industrial plant that could be scaled by both small companies and multinational corporations with a fleet of installations
Summary
The increasing demand for more complex automation machines endowed with high efficiency, reliability, safety, and product quality requires automation companies to develop and improve cyber-physical systems (CPS) and Internet of Things (IoT) systems. These technologies manage interconnected physical systems such as actuators and sensors with cyber-computational capabilities, for example in the case of computer networks, intelligent data management for Big Data, and analytical proficiency [1]. The collaborative actions between condition-monitoring systems and human service operation involve a socio-cyber-physical system (SCPS) [6] These systems are linked in a global production network where the interaction of global and individual decision-makers acts in a different way for each sub-system [7].
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