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).

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.

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

Showcase how machine learning can help plant operator monitor equipment condition through correctly analyzing measurement data collected from many sensors.

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.

Deep Learning applied to predictive maintenance use cases

Course project on Internet of Things and Signal Analysis for Condition Monitoring

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

The STDATALOG_PYSDK is a comprehensive Python framework designed to facilitate the capture, processing, and visualization of data from a wide range of sources. It was formerly known as HSDPython_SDK, previously distributed in FP-SNS-DATALOG2 and FP-IND-DATALOGMC function packs.

An implementation of Dissolved Gas Analysis (DGA) assessment algorithms and guidelines in the form of Excel Add-ins.

Tidy multi-material machine tool wear dataset for prognostics and health monitoring.

Bearing fault detection public datasets collection.

This repository contains the Amazon FreeRTOS software package for the XENSIV™ predictive maintenance evaluation kit EVAL_XMC47_PREDMAIN_AA.

Code basis for the paper "Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles" (2023)

Vibration analysis tool, Signal processing tool

NodeRED, InfluxDB and Grafana all together and pre-configured, ready to use together with the whole ctrlX Automation ecosystem.

AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workflows.