​​​​​​​FEMFAT LAB

FEMFAT LAB ist eine leistungsstarke Software-Lösung zur Visualisierung und Analyse großer Lastdatenmengen.

FEMFAT LAB

ist das Bindeglied zwischen Teststrecke, Labor und CAE.

Calculations of time histories with millions of data points and hundreds of channels can be performed within seconds. Anomalies such as drift, mean shift and spikes can be removed automatically or manually. FEMFAT LAB's project philosophy saves a lot of time as the same operations can be performed automatically for multiple files without additional user input. Many sophisticated methods help engineers to understand and analyze measurement data in the time and frequency domain. Some of them are Rainflow Counting, Level Crossing, Range Count and Time at Level to name a few.

FEMFAT LAB offers a wide range of visualization tools, such as three-dimensional plots of rainflow- and damage matrices as well as waterfall and Campbell results. Different data formats such as RPC III, Remus or Diadem can be processed without the need for conversion. To save considerable time and costs in the development process, complex multi-axis methods help to compare customer usage with test tracks or simple test procedures. Moreover, it is possible to reduce the amount of load data by considering the correct multiaxial phase relationships. With the interface to dynamic simulations, it is possible to generate a virtual road surface and load data for simulation models based on measured responses. FEMFAT LAB comes with a powerful diagnose tool to detect problematic paramters in MBS models and automatically improve their quality.

VORTEILE

  • Komfortables Visualisieren, Analysieren und Verwalten von großen Datenmengen
  • Unterstützung mehrerer Binärdatenformate ohne Benutzereingriff
  • Kosten- und Zeitersparnis durch Kombination mehrerer Messungen für die Analyse
  • Umfasst multiaxiale Methoden für die Datenreduktion. Dies führt zu kürzeren Berechnungszeiten in FEMFAT max bzw. zu kürzeren Zeiten am Prüfstand
  • Kompatibel mit FEMFAT max und FEMFAT basic

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