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Multi-class Hybrid Transformer for physical sensor data

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rzimmerdev/ml-anomaly

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ml-anomaly

This is the source code for the paper Time Series Multi-class Anomaly detection using a Hybrid Transformer/CNN for physical sensor data readings. Provides an improvement on the existing dataset analysis paper Evaluating Conveyor Belt Health With Signal Processing Applied to Inertial Sensing

Installation

conda create -n ml-anomaly --file requirements.txt python=3.10

Usage

conda activate ml-anomaly
python test.py