Tool wear prediction by residual CNN
☆80May 13, 2021Updated 5 years ago
Alternatives and similar repositories for keras_detect_tool_wear
Users that are interested in keras_detect_tool_wear are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Maybe the 1st tool wear forecasting by DL☆37Feb 6, 2022Updated 4 years ago
- Tool wear data and preprocessing code☆18Nov 17, 2017Updated 8 years ago
- ☆12Apr 8, 2025Updated last year
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆80Jun 1, 2021Updated 5 years ago
- One model for multiple machining condition and its transfer learning☆13Mar 10, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 刀具剩余寿命预测☆74Apr 17, 2020Updated 6 years ago
- IoT based Tool Wear Prediction, a project to collect and analyze vibration data in MATLAB and use the data to predict for tool wear.☆12Jun 21, 2020Updated 6 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆104Aug 13, 2019Updated 7 years ago
- Spark - Bearing RUL Predictions☆19Mar 28, 2017Updated 9 years ago
- Your encyclopedia in NPU☆12Oct 19, 2019Updated 7 years ago
- Matlab Predictive Maintenance Toolbox Introduction☆11Dec 7, 2022Updated 3 years ago
- A project focused on the improvement for remaining useful life estimation.☆21Jul 7, 2017Updated 9 years ago
- Multi-Objective Optimization of ELM for RUL Prediction☆15Jun 1, 2022Updated 4 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆251Oct 2, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- TE data diagnosis using pytorch☆20Mar 18, 2019Updated 7 years ago
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆72Jul 31, 2018Updated 8 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆87Dec 7, 2018Updated 7 years ago
- ☆11Dec 18, 2018Updated 7 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆221Jan 5, 2025Updated last year
- ☆17Oct 3, 2021Updated 5 years ago
- ☆17Apr 10, 2021Updated 5 years ago
- This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.☆20Nov 29, 2019Updated 6 years ago
- Multiclass bearing fault classification using features learned by a deep neural network.☆37Mar 19, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- The official Python API for Maisa's capabilities.☆11Aug 20, 2026Updated 2 months ago
- Convolutional Neural Network based regression approach for estimating machinery's remaining useful life☆140Aug 11, 2019Updated 7 years ago
- Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural n…☆35Oct 16, 2021Updated 5 years ago
- ☆24Jul 30, 2022Updated 4 years ago
- ☆11Mar 10, 2019Updated 7 years ago
- Feature extraction from time series to support the creation of interpretable and explainable predictive models☆13May 12, 2025Updated last year
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆160Jan 9, 2020Updated 6 years ago
- 轴承有3种故障:外圈故障,内圈故障,滚珠故障,外加正常的工作状态。如表1所示,结合轴承的3种直径(直径1,直径2,直径3),轴承的工作状态有10类☆35Apr 5, 2019Updated 7 years ago
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆16Apr 26, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Cyclostationary analysis in angular domain for bearing fault identification☆13Jun 29, 2022Updated 4 years ago
- ☆91Dec 14, 2020Updated 5 years ago
- ☆11Dec 11, 2022Updated 3 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆159Jan 6, 2022Updated 4 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆24Mar 14, 2026Updated 7 months ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆24May 9, 2022Updated 4 years ago
- deep learning methods for bearing fault diagnosis☆13Mar 6, 2019Updated 7 years ago