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Machine Failure Prediction System

Machine Failure Prediction System

Developed an AI-powered predictive maintenance system that predicts machine failures using industrial sensor data collected from underwater robotic systems at Coratia Technologies Pvt. Ltd. The project focuses on reducing unexpected downtime and improving operational efficiency through machine learning-based failure prediction.

Technologies Used

PythonPandasNumPyScikit-learnRandom Forest ClassifierPredictive MaintenanceFeature Importance Visualization

Project Details

Project Overview:

The project focuses on analyzing multi-sensor machine data and building a robust machine learning pipeline capable of predicting equipment failures with high accuracy. The system performs data preprocessing, feature engineering, model training, evaluation, and visualization to deliver actionable insights for preventive maintenance.

Core Functionalities:

  • (i)Industrial sensor data preprocessing and cleaning
  • (ii)Missing value handling and feature standardization
  • (ii)Machine failure prediction using Random Forest Classifier
  • (iv)Feature importance analysis for operational insights
  • (v)Confusion matrix and classification report generation
  • (Vi)Trained model serialization for future deployment

  • Technology Stack:

  • Programming Language: Python

  • Libraries & Frameworks: Scikit-learn, Pandas, NumPy, Matplotlib

  • Machine Learning Model: Random Forest Classifier

  • Concepts Used: Predictive Maintenance, Feature Engineering, Classification, Data Visualization

  • System Workflow
  • Data Preprocessing & Cleaning
  • Feature Engineering & Scaling
  • Machine Learning Model Training
  • Failure Prediction & Performance Evaluation
  • Feature Importance Visualization


  • Key Achievements:
  • (I)Designed a complete end-to-end predictive analytics pipeline
  • (II)Built a reliable failure prediction model using industrial sensor data
  • (III)Improved maintenance decision-making through data-driven insights
  • (IV)Reduced risk of unexpected equipment downtime
  • (V)Developed a scalable and deployment-ready machine learning solution
  • Organization


Coratia Technologies Pvt. Ltd.

Domain:

Artificial Intelligence | Machine Learning | Predictive Maintenance | Industrial Analytics