Established in 1998, ExxpertSystems serves a variety of industries including the Aerospace, Transport, Production and Energy sectors. The key to our continued success is our superior focus on streamlining our customer’s lives in increasingly technically complex markets.
One of the most powerful functions of the FastSET system are the FastSET observers. By way of these easy-to-use and freely configurable observers, a large number of analysis scenarios such as Event & Condition Monitoring as well as Data Aggregation & Statistical Analysis are be supported using rule-based algorithms. This can be done continuously for both live and post-processing scenarios.
Our main customer representatives are profiled below:
Senior Customer Consultant
ExxpertSystems GmbH is successfully, without variation or discrepancies, DIN EN ISO 9001:2015 certified. The ISO 9001 certification was conducted by the DEKRA Certification GmbH. This certification is a European wide recognized quality standard that serves to guarantee that ExxpertSystems GmbH offers, with a consistently high level of quality, the appropriate consultancy and support for the complete project life cycle – from the customer, to the customer – as well as implementing the highest level of associated work processes to support this life cycle.
The ISO 9001 certifications is the internationally recognized standard for the quality management of businesses. It applies to the processes that create and control the products and services an organization supplies, and prescribes systematic control of activities to ensure that the needs and expectations of customers are met. ISO 9001 is designed and intended to apply to virtually any process behind any product or service, anywhere in the world.
With an exciting range of core competencies, products and services, a career at ExxpertSystems ensures that there is no limit to the experiences you can gain as a member of our industrious and tightly united team.
Funded by the European Union, the VPH 2.0 project will continue the work of the VPH start-up project with the goal of a continuous digital ("end-to-end") simulation process for virtual product development, including the areas of virtual design, virtual manufacturing, as well as virtual testing and certification. In addition to methodological developments and the integration of simulation models, the focus is also on physical tests and demonstrations as well as the application to specific use cases. Such project specific use cases include a focus on innovative wing and control surface components as well as hydrogen tanks as central components on the journey towards the "zero-emission" aircraft.
Funded by the European Union, the BiT-Data project aims to develop a test data management system that addresses the issues involved in the development of a new aviation system based on hydrogen technology. The possibility of integrating open data formats and tool interfaces will enable synchronous networking between physical and simulation test benches and thus comprehensive enabler of a hybrid testing approach. The processing of the collected data sets shall be provided by AI methods and Big Data algorithms for the identification of possible patterns and sensitive parameters in the context of predictive maintenance. An interactive visualization will be used to develop an efficient methodology for the automatic evaluation and generic exchange of large data sets. In addition to these requirements, the topics of real-time capability, data security and long-term archiving will also be considered.
Funded by the Federal Republic of Germany, within the scope of the project, a modular system for the development of prediction models of vehicle component wear will be developed. The individual modular elements will be defined on the basis of process models with the intent of the distributed development of the individual module components by the respective consortium members (in alignment with their individual areas of competence). The goal is to determine whether the aspects of CBSE (component-based software engineering) process models can be applied to the development of predictive maintenance (PM) models in the area of automotive applications in an efficiency-increasing manner by subdividing them into reusable components on the basis of numerous use cases.
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