Adding Context to Training Data

Hi all,
I want to make an anomaly detector for insertion loss data (S21) over frequency. I have multiple cable types (varying in length, connector types, pitch, etc). Can I give this information to the detector or should I not? I have around 120,000 signals worth of data to train it on.

3 commentaires

dpb
dpb le 4 Juin 2026 à 17:13
Modifié(e) : dpb le 4 Juin 2026 à 18:01
That would all depend upon what you expect your detector to require as inputs to use.
If it were to be simply a pass/fail logical output, you could try without any distinction and see what happens.
Preliminary exploring by scatter plots of the data by the various factors initially would never be a bad idea...
Amber
Amber le 4 Juin 2026 à 17:19
@dpb Thank you for your reply. It's good to know that it is possible.
And all of that information is encoded in the part number so it would be trivial to get that information to it in use.
I certainly can't argue with trying without the distinction to see what happens!
I fear I won't be able to give results for a while since I don't currently have the resources to test it, we are in the early stages of development on this.
dpb
dpb le 4 Juin 2026 à 18:03
Modifié(e) : dpb le 4 Juin 2026 à 18:04
However, I'd expect the real world will intrude and that different (classes of) parts are going to have different characteristics.

Connectez-vous pour commenter.

Réponses (0)

Catégories

Produits

Version

R2026a

Question posée :

le 4 Juin 2026 à 15:52

Modifié(e) :

dpb
le 4 Juin 2026 à 18:04

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by