We developed specialized software to meet industry requirements for both the design and diagnosis of electrical machines. Our software is based on accurate analytical models validated through Finite Element Analysis and Experimental Testing, and documented in technical papers. We used analytical models to reduce computational time, enabling fast electric machine analysis without requiring specialized hardware.
The diagnostic part is introduced using well-established techniques such as Motor Current Signature Analysis (MCSA), which can provide information about motor faults by analyzing both transient and steady-state rotor currents. Furthermore, a non-invasive method is introduced to measure the stray flux, which is also able to provide a fully reliable diagnostic of the machine.
This software was awarded with the 7th Gear Challenge as a “promising technological solution” by angel investor Chris Klaus.
Fast evaluation of the state of health of prominent electrical machine topologies with a few clicks! With simple user input, the software runs advanced diagnostic techniques to identify common faults, categorizing the severity and providing recommended actions. The software offers:
