Automatically learn spectral analysis
ibaInSpectra Auto-Adapting module
The auto-adapting module can be used to detect damage to machines, gearboxes and motors as well as quality-related changes in process vibrations already at a very early stage. The self-learning InSpectra module offers optimal protection for systems through automatic monitoring in real time using learned reference values.
Detecting damage at an early stage
The auto-adapting module is able to use a series of spectra to learn what the ideal spectrum should look like. The so-called reference spectrum can be learned for various process states, which, for example, relate to different speeds, materials or load areas, etc.
Since ibaInSpectra is seamlessly integrated into ibaPDA, the full ibaPDA connectivity is available to acquire all possible process signals in a system and to be used to define the states.
Comparing with the ideal spectrum and the quantification of the deviation allows the end user to detect changes in process behavior at a particularly early stage before quality issues occur. The auto-adapting module also identifies the areas with the biggest deviations.
Vibration monitoring and analysis with ibaInSpectra and ibaAnalyzer-InSpectra
In this 45-minute webinar, you will learn how to gain a better understanding of your data using coordinated online and offline vibration analysis tools.
ibaAnalyzer-InSpectra can now be added to utilize the powerful ibaInSpectra library offline. Analysis configurations can first be designed and tested offline within ibaAnalyzer and transfer to ibaPDA for real-time vibration monitoring.