machine-learning-fault-detection

machine-learning-fault-detection

A predictive maintenance system using machine learning to forecast industrial equipment failures and reduce downtime.

? AI-Powered Industrial Fault Prediction System

? From a Simple Idea to a Real-World Machine Learning Project!

I'm thrilled to share that I’ve recently completed a major AI-powered industrial fault prediction system as part of a team project!

Together, we transformed raw sensor data into an intelligent model capable of accurately predicting different types of machine failures. ?‍?⚙️

? Project Highlights

? Data Analysis & Preprocessing

Explored and visualized large-scale industrial sensor data

Cleaned the dataset: handled missing values, outliers, and anomalies

Engineered and encoded features using:

OneHotEncoder

OrdinalEncoder

Label Encoding

Feature scaling techniques like StandardScaler and MinMaxScaler

? Model Building & Evaluation

Built and compared multiple classification models:

✅ Logistic Regression

✅ XGBoost

✅ Naive Baye

✅ SVM

✅ Decision Tree

✅ Random Forest

✅ KNN

...and more!

Evaluated models using:

Accuracy

Precision & Recall

Confusion Matrix

Cross-Validation

ROC Curve & AUC

Tuned hyperparameters to boost performance

Used visualizations to communicate insights clearly

? Deployment

Deployed the final model using Flask

Created a user-friendly API endpoint for real-time predictions

Ready for real-world industrial integration