sonic160/dtr_digital_model_simulink
This repo shows a digital model of a robot in simulink, and show how to use it to train an AI model for fault diagnosis.
This project helps robotics engineers and maintenance professionals develop and test AI models for diagnosing faults in robotic arms. It uses a digital simulation model of a robot arm (the input) to generate synthetic fault data, which is then used to train an AI model. The output is a fault diagnosis AI model that can detect issues in a real robot, improving predictive maintenance.
Use this if you need to create or evaluate a fault diagnosis system for a robotic arm and require simulated data for training or testing, especially when real-world fault data is scarce or expensive to collect.
Not ideal if you are looking for a general-purpose robotic arm control system or a tool for physical robot assembly, as its focus is specifically on fault diagnosis using digital twins.
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Language
MATLAB
License
MIT
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Last pushed
Dec 02, 2025
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