Extracting the data after the threshold point

8 visualizaciones (últimos 30 días)
Jennifer Arputharaj
Jennifer Arputharaj el 13 de Mayo de 2018
Comentada: Star Strider el 13 de Mayo de 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 comentarios
Image Analyst
Image Analyst el 13 de Mayo de 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 el 13 de Mayo de 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 ?

Iniciar sesión para comentar.

Respuesta aceptada

Star Strider
Star Strider el 13 de Mayo de 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 comentarios
Jennifer Arputharaj
Jennifer Arputharaj el 13 de Mayo de 2018
Thank you for the reply, really appreciate it.
Star Strider
Star Strider el 13 de Mayo de 2018
As always, my pleasure.

Iniciar sesión para comentar.

Más respuestas (0)

Categorías

Más información sobre Predict Remaining Useful Life (RUL) en Help Center y File Exchange.

Community Treasure Hunt

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

Start Hunting!

Translated by