The modern technology of predictive maintenance of equipment – Predictive Maintenance – has replaced traditional approaches to equipment maintenance.
Predictive maintenance can help reduce costs, reduce disruptions and improve equipment availability in both conventional and innovative manufacturing. The implementation of Predictive Maintenance is possible subject to the use of Industry 4.0 technologies.
Understanding Predictive Maintenance
Predictive maintenance is based on collecting and analyzing data (model prediction), the results of which will help predict possible failures before they occur. In the case of condition-based maintenance, work is performed depending on what information the equipment returns about its condition in real time. The system signals the need for maintenance by comparing the received data with the data typical for the prevention of emergency conditions. Companies need to leverage these results to avoid predicted equipment failures during their workflow and to carry out preventive maintenance and repairs in production with minimal downtime and at a convenient time.
In the video from production locations, employees of the DonbassEnergo repair department will show how Industry 4.0 technologies work in production and how processes and equipment reviews can be managed from a mobile phone.
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