MAINTENANCE FEATURE
just 13 per cent, a figure which is increased to 43 per cent with expert human monitoring. Couple that with machine learning, however, and fault detection accelerates to 95 per cent. The ODiN system from Rexroth, which
incorprates self-learning algorithms and predictive maintenance software, is a practical solution which is able to deliver a health index of connected machinery. Providing an indication of machine condition, manufacturers are equipped with the insights they need to maintain consistant levels of productivity and reduce the occurrence of unexpected downtime.
TAKING A BIG PICTURE APPROACH To maximise the impact of these digital solutions, it is critical for design engineers to precisely plan how Industry 4.0 is to be incorporated into their facility. Here, whether a facility chooses to take an incremental approach or opts for a complete digital overhaul, it is important to remember that digital technologies are highly scalable and can match even the most complex of production environments. Even legacy machinery, which is
perhaps most prone to high component wear or unexpected breakdowns, can be brought in line with the digital future by adapting equipment to accommodate intelligent sensors, controls and drives to form the basis for comprehensive predictive analysis. Once connected to an end-to-end system, the process of predictive maintenance through machine learning is perfectly aided. Working with a supplier such as Bosch
Rexroth makes such transitions easier, supporting each phase of the digital transformation, from planning right through to implementation. So as data harnessing and visualisation drives software to become smarter and factories more intelligent, it also facilitates a truly proactive approach to maintenance, helping operations to run more efficiently to deliver more consistent levels of quality and output – ultimately maximising profitability and competitiveness in today’s ever- changing global market.
Bosch Rexroth
www.boschrexroth.com T: +44 (0) 3456 044 106
FACTORY EQUIPMENT | APRIL 2019 17
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