Topic: machinery-condition-monitoring Goto Github
Some thing interesting about machinery-condition-monitoring
Some thing interesting about machinery-condition-monitoring
machinery-condition-monitoring,This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
User: biswajitsahoo1111
Home Page: https://biswajitsahoo1111.github.io/cbm_codes_open/
machinery-condition-monitoring,This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
User: biswajitsahoo1111
Home Page: https://biswajitsahoo1111.github.io/rul_codes_open/
machinery-condition-monitoring,Machine Data Hub Web App
Organization: machine-data-hub
Home Page: https://machinedatahub.ai
machinery-condition-monitoring,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.
User: mo26-web
machinery-condition-monitoring,Projeto de Graduação em Engenharia Mecânica na UFES, 2021
User: rennertz
machinery-condition-monitoring,control of the current workload of machines and work performed (контроль текущей загруженности станков и выполненной работы)
User: revat2000
Home Page: https://industry-locator.web.app/login
machinery-condition-monitoring,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"
User: tvhahn
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