Maintenance costs can be reduced by 30 percent and unscheduled downtime by 70 percent according to a study by the consulting firm Accenture for the World Economic Forum. Predictive maintenance is the key: Sensors record permanent data regarding machine conditions and forward it online to central controlling or external service providers. There the probability of future events is calculated using stochastic algorithms and information from third party systems (ERP, CRM) – for weeks, months, and sometimes years into the future. Patterns that indicate disruptions or wear and tear can be recognized in time and steps can be taken early enough to overhaul the affected parts.

Shorter outage and maintenance times, lower servicing costs, a faster flow of production, greater productivity, improved scheduling, longer machine running time, the avoidance of unscheduled downtime – arguments like these attracted tens of thousands of professional exhibition visitors to the Predictive Maintenance 4.0 special exhibit at HANNOVER MESSE in 2016.

We are certain that the Predictive Maintenance Area, the successor to last year's special event, will attract even more visitors. Major names in power transmission and control such as Aventics, Bosch Rexroth, Festo, Schaeffler, Schmalz, Argo Hytos, Hydac and ZF Friedrichshafen will present concrete solutions and strategies for predictive maintenance in Hall 19 (Stand A60). Talks by experts at the MDA Forum (Hall 19, Stand C49) will round off the predictive maintenance topic.

Maintenance costs can be reduced by 30 percent and unscheduled downtime by 70 percent according to a study by the consulting firm Accenture for the World Economic Forum. Predictive maintenance is the key: Sensors record permanent data regarding machine conditions and forward it online to central controlling or external service providers. There the probability of future events is calculated using stochastic algorithms and information from third party systems (ERP, CRM) – for weeks, months, and sometimes years into the future. Patterns that indicate disruptions or wear and tear can be recognized in time and steps can be taken early enough to overhaul the affected parts.

Shorter outage and maintenance times, lower servicing costs, a faster flow of production, greater productivity, improved scheduling, longer machine running time, the avoidance of unscheduled downtime – arguments like these attracted tens of thousands of professional exhibition visitors to the Predictive Maintenance 4.0 special exhibit at HANNOVER MESSE in 2016.

We are certain that the Predictive Maintenance Area, the successor to last year's special event, will attract even more visitors. Major names in power transmission and control such as Aventics, Bosch Rexroth, Festo, Schaeffler, Schmalz, Argo Hytos, Hydac and ZF Friedrichshafen will present concrete solutions and strategies for predictive maintenance in Hall 19 (Stand A60). Talks by experts at the MDA Forum (Hall 19, Stand C49) will round off the predictive maintenance topic.

Schaeffler (Stand A60/7) is showcasing two new digital services at the Predictive Maintenance Area: remaining operating life calculations for rolling bearings and automated diagnoses of rolling bearing damage. For the first time ever, Schaeffler can determine load-dependent maintenance intervals.

Using a cableway, ZF Friedrichshafen (Stand A60/9) will demonstrate the possibilities of predictive maintenance. "With detailed knowledge regarding the condition of the elements in the power train, performance and the demand placed on the number of trips can be met with more reliability," explains the company. Evaluating the information enables failure-free operation and cost-efficient, projectable maintenance. Unplanned downtime can be reduced to a minimum with this system.