WIL : Weekly I Learned 21.06.24

WIL : Weekly I Learned 21.06.24

 

Fact

This week was the project period. Our team worked on a project to analyze the failure point of NASA's turbo engine and predict the Remaining Useful Life (RUL). Through this project, I had the opportunity to practice more with machine learning and deep learning.

 

Finding

The preparation process for machine learning and deep learning was complex. Simply inputting data did not yield the desired results. A lot of time was spent standardizing the data in various ways, reducing dimensions, and optimizing the train data to achieve the best MSE and R2 score. It was challenging to create the best model.

 

Feeling

The data itself was clean. Since there were no missing values or outliers in the training data, I was able to focus on processing the data and developing machine learning and deep learning models. While it seems unlikely that predicting equipment lifespan with machine learning and deep learning will be part of my future career path, I appreciated the extensive learning experience.

 

Future

We carried out a project to predict the RUL of equipment using machine learning and deep learning. It was great to use Python not only for simple calculations but also as a regression tool for machine learning and deep learning. Moving forward, I want to consider how this analytical process can be connected to my work.