Curated list of Industry 4.0 research, popular events, open-source software projects and learning resources that are worth looking into!
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Updated
May 29, 2021
Curated list of Industry 4.0 research, popular events, open-source software projects and learning resources that are worth looking into!
Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.
IndustryFusion is the open source IIoT connectivity solution for smart products and smart factories - it empowers small and medium-sized businesses to participate in tomorrow's connected industry. IndustryFusion instantly creates transparency and added value and enables new business models such as production sharing, pay-per-use machine usage, a…
5GTANGO Smart Manufacturing Pilot
Python code “Jupyter notebooks” for the paper entitled " Similarity-Based Predictive Maintenance Framework for Rotating Machinery" has been presented in the Fifth International Conference on Communications, Signal Processing, and their Applications (ICCSPA’22), Cairo, Egypt, 27-29 December 2022. Techniques used: statistical analysis, FFT, and STFT.
m2m is a node.js library for developing machine-to-machine and edge applications using the node-m2m framework.
Repository linked to "Anomaly detection in Smart-manufacturing era: A review"
A quick start-up guide on how to develop applications using the node.js m2m library.
a graduation project on reinforcement learning in smart manufacturing scenarios
Development of an in-situ digital inspection of tool wear for turning inserts. The model and training is based on EfficientNet and TensorFlow Lite. Input images are obtained from a digital microscope.
Simulation and generation of synthetic reliability-related data.
Monitoring human-centric assembly operations in manufacturing industries using vision cameras
Data-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
Real-time machine status update using MTConnect and MQTT protocols
Implementation of a motherboard defect inspection webapp. The system will detect and label both missing and present components.
First approach to ROS and Robotics modelling for the first Smart Manufacturing Seminar
Evaluation of lifting risk assessment task for factory workers
MTConnect adapter for FANUC CNC Machine located at MINLab, UW Madison.
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