machinery-condition-monitoring

There are 3 repositories under machinery-condition-monitoring topic.

biswajitsahoo1111 / rul_codes_open
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
remaining-useful-life machinery-condition-monitoring machine-learning deep-learning prognosis prediction rul-prediction data-driven-prediction cmapss
Language:Jupyter Notebook 143
biswajitsahoo1111 / cbm_codes_open
This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
bearing-fault-diagnosis condition-monitoring cwru deep-learning fault-diagnosis machine-learning machinery-condition-monitoring
Language:Jupyter Notebook 80
ml-tool-wear
tvhahn / ml-tool-wear
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"
deep-learning masc-thesis machinery-condition-monitoring tool-wear-monitoring anomaly-detection beta-vae tool-condition-monitoring advanced-manufacturing latent-spaces milling recall trend precision
Language:Jupyter Notebook 53
mo26-web / Induction-Motor-Faults-Detection-with-Stacking-Ensemble-Method-and-Deep-Learning
This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.
deep-neural-networks ensemble-classifier ensemble-learning induction-motor logestic-regression machinery-condition-monitoring random-forest stacking-classifier stacking-ensemble support-vector-machine induction-motor-fault-detection machinery-fault-dataset fast-fourier-transform fault-detection fault-diagnosis anomaly-detection
Language:Jupyter Notebook 21
rennertz / PG-DefeitosRotores
Projeto de Graduação em Engenharia Mecânica na UFES, 2021
machine-learning machinery-condition-monitoring
Language:Jupyter Notebook 2
Revat2000 / Industry-Locator
control of the current workload of machines and work performed (контроль текущей загруженности станков и выполненной работы)
monitor production industrial-automation industrial machinery machinery-condition-monitoring 1c-enterprise vuejs vuex vue-router webpack
Language:JavaScript 2
machine-data-hub / app
Machine Data Hub Web App
machine-learning prognostics-health-management predictive-modeling machinery-condition-monitoring data-science artificial-intelligence
Language:JavaScript 1