I once had to build a complex NN based system for this exact task. We also pitted this system against a consultant building a basic xgboost classifier working w

I once had to build a complex NN based system for this exact task. We also pitted this system against a consultant building a basic xgboost classifier working with a series of sliding windows over sensor data. Xgboost won. It was also faster to run and faster to train. I'd still love to see how a VLM did with sensor data as it's often quite obvious to spot anomalies visually for humans. Especially if you're allowed to do comparison overlays.