Template project — replace the placeholders with your real project details.
Challenge
Unplanned downtime of critical production equipment, with failure modes that are not captured by simple threshold alarms.
Approach
Anomaly-detection models trained on high-frequency machine signals and deployed on edge hardware close to the process, with careful handling of reference drift and changing operating conditions.
Result
Early detection of developing faults and a maintenance workflow that acts on model output instead of fixed service intervals.
Partners: [add partners] · Duration: [add duration] · Funding: [add funding scheme]