A Machine Learning library for Motor Fault Detection using Support Vector Machine (SVM)
Project description
# MotorFaultSVM
MotorFaultSVM is a machine learning library for motor fault detection using Support Vector Machine (SVM). It is designed for predictive maintenance applications in industrial systems where early fault detection improves reliability and reduces downtime.
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## Overview
MotorFaultSVM provides a trained SVM-based classification model for detecting motor faults using sensor input data. It is intended for use in industrial monitoring systems, research applications, and machine learning prototypes.
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## Installation
```bash
pip install motorfaultsvm
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