Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
Bearing fault detection public datasets collection.
An open-source MCP server that turns LLMs into condition monitoring assistants for reliability engineers. It gives your AI assistant evidence-based vibration diagnostics: machine fault detection, severity assessment and diagnostic reports, for faster predictive maintenance decisions. Also available as a Claude Code plugin.
This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.
Order tracking and order analysis for noise and vibration of rotating machinery in Python, validated against analytic ground truth, with order-based sound resynthesis.
Deep Learning applied to predictive maintenance use cases
A comprehensive benchmark of 16 Deep Learning models (including ResNet, LSTM, Transformer, DenseNet) for CWRU Bearing Fault Diagnosis using PyTorch.
remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, condition-based maintenance, CBM, predictive maintenance, PdM, prognostics health management, PHM
Tidy multi-material machine tool wear dataset for prognostics and health monitoring.
The FP-SNS-DATALOG2 function pack represents an evolution of FP-SNS-DATALOG1 and provides a comprehensive solution for saving data from any combination of sensors and microphones configured up to the maximum sampling rate. Please check st.com where a more recent version of the software might be available.
ViMag: A Visual Vibration Toolbox
An implementation of Dissolved Gas Analysis (DGA) assessment algorithms and guidelines in the form of Excel Add-ins.
Audio-based machine fault recognition with a lightweight PyTorch CNN using PCEN log-mel features, section-aware splits, and Dockerized inference
Vibration analysis tool, Signal processing tool
Top Industrial AI & Predictive Maintenance Platforms Ecosystem🌟 Star if you like it!🌟
The FP-SNS-DATALOG1 function pack provides a comprehensive solution to save data from any combination of sensors and microphones configured up to the maximum sampling rate available on STWIN and SensorTile.box
Showcase how machine learning can help plant operator monitor equipment condition through correctly analyzing measurement data collected from many sensors.
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