GEARS , DRIVES & MOTORS DIGITAL SERVICE
SCHAEFFLER GROUP
Schaeffler and Siemens to cooperate on intelligent diagnostics for drive systems
Electric motors drive our core industrial processes , and the rolling bearing is their central mechanical component . The bearings experience all of the loads and stresses that occur in the electric motor . Therefore , bearing diagnostics provide a crucial indicator of the overall condition and reliability of a motor . In addition to developing a portfolio of condition monitoring solutions for operators , the automotive and industrial supplier Schaeffler is also working with OEM customers such as Siemens on joint offerings to increase the availability of machinery and equipment .
The collaboration between Siemens and Schaeffler combines Siemens ’ IIoT platform Sidrive IQ with Schaeffler ’ s decades of experience and expertise in designing , manufacturing , and servicing bearings .
Picture : Siemens
“ This partnership between Schaeffler and Siemens is based on a solid foundation of product knowledge and specific expertise . Both companies are playing an instrumental role in driving digitalisation forward in the industry while keeping their entire focus on customer value ,” adds Dr . Stefan Spindler , CEO Industrial of Schaeffler AG .
SERVICES SEAMLESSLY INTEGRATED IN ONE PLATFORM
The collaboration between Siemens and Schaeffler combines Sidrive IQ – the digital platform for drive systems and solutions from Siemens – with Schaeffler ’ s decades of experience and expertise in designing , manufacturing , and servicing bearings . Sidrive IQ integrates a number of functionalities into one seamless solution and augments drive systems with AIbased analytics and digital content . For the customer , this means the ability to make better decisions when it comes to operation , maintenance , and maintenance measures for drive systems .
NEW DIMENSIONS OF COLLABORATION IN THE INDUSTRIAL IOT
The integration of Schaeffler ’ s analysis service for automated bearing diagnostics in Sidrive IQ makes it possible to determine the bearing condition with greater certainty and precision . “ This cooperation and automated exchange of algorithm-based diagnostic data is one of the first of its kind in the industrial IoT . It ’ s a great example of a new dimension of cooperation among established technology companies ,” says Hermann Kleinod , CEO of Siemens Large Drives Applications .
With the help of well-founded insights and specific information , operators can quickly determine whether the drive system can continue to operate or whether , in the event of impending damage , the bearing needs to be replaced immediately or can wait for the next maintenance interval . This reduces maintenance effort and cost , and most importantly , unplanned and costly downtimes can be prevented .
For further information , please visit www . schaeffler . com / fork
66 PECM Issue 51