Assessment of AI-based fault and diagnosis algorithms for electric systems

Service description

AI can help in detecting and diagnosing faults in electric systems. By analyzing real-time data from sensors and historical data, AI algorithms can identify abnormal behavior, predict potential failures, and provide early warning signs. This enables proactive maintenance, reduces downtime, and improves system reliability. In order to implement these algorithgms, it is essential to validate them. This service will approach this validation through virtual prototyping and digital twins developed for the target algorithm using advance simulation tools. Experimental tests will also be performend through the development of testing setups and real prototypes in order to assess the AI algorithms with real electric fault and degrading conditions. Target audience: electric component manufacturers.

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