motorfaultsvm 2.0.1

A Machine Learning library for Motor Fault Detection using Support Vector Machine (SVM)

# MotorFaultSVM ⚙️🤖

A **Machine Learning library for Motor Fault Detection** using Support Vector Machine (SVM).

This package enables predictive maintenance by analyzing sensor data and classifying motor conditions as **Normal** or **Faulty** using trained ML models.

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## 📌 Key Features

- ⚡ SVM-based fault classification

- 📊 Works with numerical sensor datasets

- 🧠 Built on Scikit-learn ML pipeline

- 🔍 Simple Python API for predictions

- 🏭 Designed for industrial predictive maintenance

- 📦 Ready for research and production use

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## 📥 Installation

### Install from PyPI

```bash

pip install motorfaultsvm

from motorfaultsvm import predict

# Example sensor data (vibration, temperature, current, etc.)

data = [

[0.12, 0.45, 0.67, 0.89],

[0.20, 0.50, 0.70, 0.95]

]

# Run prediction

result = predict(data)

print("Prediction Result:")

print(result)