[Project Addition] : Condition monitoring using DL

[jeet-Abhi123]

Pull Request for DL-Simplified 💡

680 : Condition monitoring using DL

• Info about the related issue (Aim of the project) : The primary goal of this project is to predict the Remaining Useful Life (RUL) of airplane turbofan engines using the NASA C-MAPSS dataset. Accurate prediction of RUL is crucial for ensuring the safety, reliability, and efficiency of aircraft operations.
• Name: Abhijeet Kaithwas
• GitHub ID: https://github.com/jeet-Abhi123
• Email ID: abhijeet.kaithwas13@gmail.com
• Idenitfy yourself: (Mention in which program you are contributing in. GSSOC'24 Contributor

Closes: #680

Describe the add-ons or changes you've made 📃

The GRU model outperformed the LSTM and CNN models in terms of test loss, making it the most effective model for predicting the Remaining Useful Life (RUL) of airplane turbofan engines in this project. However, each model brings unique strengths, and further optimization and ensemble methods could potentially improve overall performance.

By leveraging these advanced neural network models, the project aims to provide accurate RUL predictions, contributing to proactive maintenance scheduling and enhanced operational efficiency in aviation.

How Has This Been Tested? ⚙️

Describe how it has been tested I have tested the implementation using a separate test dataset and verified the classification accuracy of each model. Additionally, I have compared the results with the expected outcomes to ensure accuracy.

Checklist: ☑️

• [x] My code follows the guidelines of this project.
• [x] I have performed a self-review of my own code.
• [x] I have commented my code, particularly wherever it was hard to understand.
• [x] I have made corresponding changes to the documentation.
• [x] My changes generate no new warnings.
• [x] I have added things that prove my fix is effective or that my feature works.
• [x] Any dependent changes have been merged and published in downstream modules.

[github-actions[bot]]

Our team will soon review your PR. Thanks @jeet-Abhi123 :)