Schaeffler and the future of predictive maintenance at 2018 IMVAC conference
What sounded like science fiction just a short time ago is now digital reality in Australasia in the new predictive maintenance solutions presented at this year’s IMVAC conference on the Gold Coast from August 6-9. The International Machine Vibration Analysis and Condition Monitoring (IMVAC) professional development conference heard presentations from technology leaders such as the global Schaeffler Group, highlighting advances in its industry 4.0 “Smart Factory” automation and data exchange technologies. Schaeffler’s latest predictive maintenance solutions enable machinery operators to look ever more clearly into the future – they provide machine operators with vital information about the future condition of their machines. Predictive maintenance allows not only the capacity utilisation of factories, mines, utilities and processing plants to be optimised, but also makes it possible to plan maintenance intervals at precisely the right time for optimised “Total Cost of Ownership” calculations. An important prerequisite for predictive maintenance is automated rolling bearing diagnostics, a function that is used in motor gearbox units, for example. These units are used not only in machine tools but also in belt conveyors, presses, and steel mill rollers, for example. Schaeffler BEARINX software is one of the leading programs for performing rolling bearing calculations. It enables rolling bearing supports to be analysed in detail – from single bearings to complex gear systems and linear guide systems. All calculations are performed in a consistent calculation model. Even for complex gears, the contact pressure on each rolling element is considered in the calculation. Because machine drives are operated virtually without interruption, they require intensive maintenance to prevent production downtimes. Therefore, it is important for operators to know the condition of the drive components at all times, and why the bearings are becoming particularly important as a central machine element. The latest generation of the FAG SmartCheck diagnostic system […]