Condition monitoring and prediction of sealing systems
Trelleborg Sealing Solutions

Condition monitoring and prediction of sealing systems
With the speed in which IT topics are now being pushed forward, even media companies have to adapt more quickly and become flexible. In particular, this includes marketing and sales activities in order to keep the customers satisfied and to raise further potential. For the analysis project of the Smart Data Solution Center Baden-Württemberg (SDSC-BW), […]
This project is part of the Transforming Transport EU lighthouse project. The TransformingTransport project will demonstrate, in a realistic, measurable, and replicable way the transformative effects that Big Data will have to the mobility and logistics market. TransformingTransport brings together knowledge, solutions and impact potential of major European ICT and Big Data technology providers with […]
Air quality and the associated subjective and health-related quality of life are one of the great themes of our time. Nonetheless, it is very difficult for many cities to take action on today’s mobility, living and working needs because a consistent data base with fine-grained data on the action chains is lacking. However meanwhile, both […]
Build supply chain using IBM SPSS Modeler combined with IBM SPSS CADS, Python and R components
A current project by SAP deals with forensic data analyses. Within this context, the project will focus on very large data sets. For example, the LKA Baden-Württemberg has a data pool of up to 150 TB per case. The total amount of data relevant to active cases is about 500 TB. Performance is a critical […]
Smart data analyzes support the scheduling of component production at Herrenknecht AG. Within a customer order, it is necessary to produce various components. The core components are generated in individual production orders at the corporate headquarters in Schwanau. Component manufacturing includes cost, planning, production and quality data. For the smart data analysis of the Smart […]
In recent years, the Intelligent Transport System (ITS) has been developed, which aims at traffic flow forecasting. It also plays an important role in the planning and development of traffic management and control systems. By analyzing up-to-date traffic flow data, a prediction of the traffic flow is to be made. A precise forecast model can […]
From the data evaluation, forecasts and rules for production can be created
Analysis of highly variant, temporally sparse, and unlabeled datasets to perform condition-based maintenance.