Francesco Smarra and Alessandro D’Innocenzo from UnivAQ, Università degli Studi dell’Aquila, presents one of the two methodologies which uses during the development of the VALU3S project, the Kalman filter-based fault detector.
Watch the video here.
VALU3S Use Case Interview: Autonomous Train Operation.
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VALU3S Use Case Interview: Industrial Drives for Motion Control
VALU3S Use Case Interview: Intelligent Traffic Surveillance
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Knowledge-centric systems engineering with the Systems Engineering Suite
Applying a “Machine Learning Pipeline” to detect unknown faults and failures in a Human Robot Interaction assembly process
ISO12100 Standard: how Risk Analysis contributes to design of safe machinery