Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
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Updated
Aug 10, 2020
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
Deep Learning applied to predictive maintenance use cases
Showcase how machine learning can help plant operator monitor equipment condition through correctly analyzing measurement data collected from many sensors.
Course project on Internet of Things and Signal Analysis for Condition Monitoring
An implementation of Dissolved Gas Analysis (DGA) assessment algorithms and guidelines in the form of Excel Add-ins.
Code basis for the paper "Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles" (2023)
This repository contains the Amazon FreeRTOS software package for the XENSIV™ predictive maintenance evaluation kit EVAL_XMC47_PREDMAIN_AA.
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.
Vibration analysis tool, Signal processing tool
ViMag: A Visual Vibration Toolbox
Formulation of a complex-valued deep learning framework based on JAX, and successive application over a vibration signals classification task.
Bearing fault detection public datasets collection.
A curated collection of papers, articles and datasets to keep modern industrial engineer up-to-date on new strategies for anticipating failures using sensors historical data.
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
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