Extracting the data after the threshold point

8 vues (au cours des 30 derniers jours)
Jennifer Arputharaj
Jennifer Arputharaj le 13 Mai 2018
Commenté : Star Strider le 13 Mai 2018
Hi everybody,
I am looking for extracting series of data after a threshold.
I have set the threshold at 1.4 and looking to extract the data after(data from x axis).
X axis is number of cycle
y axis is capacity
Kindly suggest an approach or link for reference, hope my question is understandable.
  2 commentaires
Image Analyst
Image Analyst le 13 Mai 2018
So do you want data starting with x=118 or 120? If the threshold is 1.4, why are there are few red dots before y ever gets down to 1.4, as if you wanted to select those?
Jennifer Arputharaj
Jennifer Arputharaj le 13 Mai 2018
Hi,
I divided the training set to 0.7 (numTimeStepsTrain = floor(0.7*numel(data));) as i am working on remaining useful life.
Can I change the above code by dividing the training set from the capacity 1.4 ?

Connectez-vous pour commenter.

Réponse acceptée

Star Strider
Star Strider le 13 Mai 2018
If I understand correctly what you want to do, this will work:
Capacity_Thresh = Capacity(Capacity <= 1.4);
NrCycles_Thresh = Number_Of_Cycles(Capacity <= 1.4);
This will detect and save only those values where ‘Capacity’ is less than or equal to ‘Threshold’. If you want to detect the first index that ‘Capacity’ is less than or equal to ‘Threshold’, and save everything after that:
Thrsh1 = find(Capacity <= 1.4, 1);
Capacity_Thresh = Capacity(Thrsh1:end);
NrCycles_Thresh = Number_Of_Cycles(Thrsh1:end);
You may need to experiment to get the result you want.
  2 commentaires
Jennifer Arputharaj
Jennifer Arputharaj le 13 Mai 2018
Thank you for the reply, really appreciate it.
Star Strider
Star Strider le 13 Mai 2018
As always, my pleasure.

Connectez-vous pour commenter.

Plus de réponses (0)

Catégories

En savoir plus sur Predict Remaining Useful Life (RUL) dans Help Center et File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by