/power-transformer-health-prediction-using-cnn

Transformer health predictor using CNN

Primary LanguageJupyter Notebook

Power Transformer Health Prediction using CNN

This repository contains a project focused on predicting the health status of power transformers using Convolutional Neural Networks (CNN). The project utilizes CNN architecture to analyze images or data associated with power transformers and predict their health condition.

Project Overview

The Power Transformer Health Prediction project aims to:

  • Utilize CNN architecture for analyzing power transformer-related data.
  • Predict the health status of power transformers based on provided inputs.
  • Enable automated monitoring and early detection of potential transformer issues.

Features

  • CNN Model: Implement a CNN model suitable for processing transformer-related data.
  • Data Preprocessing: Process and preprocess input data for optimal model training.
  • Health Prediction: Leverage the trained model to predict health conditions of power transformers.

Usage

To use the Power Transformer Health Prediction project:

  1. Clone the repository to your local machine using: 
    sh git clone https://github.com/your-username/power-transformer-health-prediction-using-cnn.git
  2. Follow the instructions provided in the notebook.

Authors