Future proof your portfolio and accelerate your Industry 4.0 roadmap with solutions from Hengstler. Learn about the innovations that we will showcase at SPS 2019 including SCS Open Link, an Industry 4.0 ready open protocols that enables quick implementation of data aggregation from multiple sensor types, solutions for functional safety applications and remote condition monitoring for servo motors with gearboxes.
More than just a protocol, SCS Open Link provides a long term platform for your Industry 4.0 roadmap, reduce time to market, create new revenue streams and help our customers build solutions for the factory of tomorrow.
Learn more about our high performance single cable solution certified for functional safety that can reduce costs, improve machine availability and enable your Industry 4.0 roadmap.
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As the average of the factory increases, maintaining efficient production while avoiding downtime caused by failing motors and bearings is a major pain point for end users. Faced with hundreds if not failures of potential failure points, it can be difficult to predict where the next failure may occur and prepare a spare or order maintenance in advance of a catastrophic failure.
While plant wide predictive maintenance systems exist, they can require a large upfront investment, careful implementation and process development to integrate into existing maintenance programs. With tight capital budgets and uncertain return on investment, what is needed is a system that can be installed quickly at an affordable price point to prove results, then scale to other assets based on success.
For such stand alone motor and bearing applications, Hengstler offers the Dynapar OnSite™ condition monitoring system with powerful analytics tools. More than just an alarm, the OnSite system helps end users diagnose problems remotely and find the root cause to issues so they can be counter measured before they occur again.
Affordable remote condition monitoring with integrated triaxial vibration and temperature sensors with optional speed input. Built in analytics tools such as FFT graphs, RMS trend and timewave form analysis.