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Life may be full of surprises – but your presses don’t have to be
Predictive Services for Presses let you see into the futureIn automotive manufacturing, outages in individual stations can quickly put your entire production system out of action. Errors are often caused by little things like bearing wear, deposits, excessive moisture, or leaks in the lubricating oil distribution system. Regular service intervals aren’t enough to prevent un-planned downtimes. The important thing is to monitor the status of production plants and detect imminent faults predictively.
With our Predictive Services for Presses, we enable connectivity between your press stages and cloud or Edge applications, provide well-grounded analyses of both status data and sources of error through our experts, and enable even faster and more precise automated analysis based on artificial intelligence. Because each press is individually configured, our experts design tailored concepts and data analysis models and in this way substantially increase trans-parency throughout the entire lifecycle. They make it easier for you to schedule maintenance work and improve the availability and productivity of your plants on a lasting basis.
Predictive Services for Presses is our three-stage offering for presses in automo-tive manufacturing. They’re part of our services for the Digital Enterprise, in which our digitalization experts assist you with the digital transformation of your company.
siemens.com/predictive-services
Your benefitsTransparency Enjoy full transparency regarding the status of your presses using round-the-clock automatic plant monitoring.
AvailabilityImprove plant availability using status-based, predic-tive maintenance.
Easier planningProactively avoid unsched-uled production outages by aligning maintenance and servicing activities with actual needs.
Predictive Services for Automotive
Predictive Services for Presses
Press Shop
Body Shop
Paint Shop
FinalAssembly
PowertrainFoundry
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Module 3
AnalyticsOur experts evaluate the data collected and provide you with informative reports on the status of your plant and potential causes of error – for example, bearing damage. Using artificial intelligence, we’re able to evaluate the steadily growing volume of data faster and more reliably. Our experts optimize adaptive algorithms in order to reliably detect anoma-lies that indicate potential errors. This can also be performed across locations and makes it possible to monitor the availability of different production lines.
Module 1
AssessmentWe work with you on site to assess the current situation based on machine data, automation hardware, network situation, and similar factors. The focus is on the area you want to optimize – for example, the drive train or the energy storage motors of servo presses. Among other things, we clarify whether all the necessary data is available or additional sensors are required. The results of the assessment are used to generate a detailed connectivity concept.
Module 2
ConnectivityThe connectivity concept that was generated in the Assessment module serves as the framework for installing sensors and condition monitoring systems in order to acquire all the necessary data. The usable data varies widely. We can determine bearing wear and shaft misalignment in the main drive, deposits and water content in the hydraulic oil, misalign-ment of press tools, the remaining semicon-ductor service life for converters, and much more. We also set up a tailored Edge or cloud solution, depending on which version you need or prefer in your company. In this way, we establish connectivity for data analysis.
Our offering for your future – modular solutions for predictive services in automotive manufacturingThe modular services for acquiring, analyzing, and evaluating machine data connect your plant and applications to Edge or cloud applications in accordance with your needs and requirements. You obtain well-grounded analyses of the status data and sources of error, as well as specific recommendations from our experts, who evaluate and analyze the existing data with the aid of artificial intelligence.
Press Shop
Body Shop
Paint Shop
FinalAssembly
PowertrainFoundry
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Siemens AG Digital Industries Customer Services Postfach 31 80 91050 Erlangen, Germany
For the U.S. published by Siemens Industry Inc. 100 Technology Drive Alpharetta, GA 30005 United States
Article no.: DICS-B10033-00-7600 Dispo 21640 fb 8502 11191.0 © 2019 Siemens AG