Overview
Condition Monitoring (CM) has been used for many years as an integral part of a Predictive Maintenance strategy. Measuring machine parameters is one of the most widely used to detect and diagnose equipment faults. To date, most CM systems have predominantly been used as local systems, collecting data from machines and requiring experts to analyse data to check for signs of wear, defects or other unusual behaviour.
With the “Drive Train 4.0” demonstrator technology, Schaeffler has developed a basic concept for the digitalisation and monitoring of motor-gearbox applications, which represents a wide range of drives found in all performance classes and applications. The concept connects existing technology with digital services which represents a significant step towards the future of machine monitoring.
Key Topics:
Automated Rolling Bearing Diagnostics.
Calculating the Remaining Useful Life of Bearings.
Optimum Maintenance Interval Planning.
The Drive Train 4.0 project at Schaeffler.
Who should attend?
This webinar will be particularly useful to plant and maintenance managers/engineers responsible for CM systems that monitor rotating equipment supported by rolling bearings, e.g. electric motors, compressors, spindles, fans/blowers, centrifuges, vibrating screens, fluid pumps, vacuum pumps and gearboxes. Process manufacturers that cannot afford the high costs associated with production downtime due to unforeseen machine/plant breakdowns, will benefit the most from this webinar.
Anyone who is unsure how CM should fit into their Industry 4.0 strategy will also benefit from this webinar.
How will I benefit?
The webinar will cover the basic condition monitoring techniques and how these can be brought together using the Internet of Things (IoT) to provide an Industry 4.0 approach to maintenance planning. Improve and optimise your maintenance planning by leveraging the latest Industry 4.0 technologies.
Register for the webinar here