subham9777 / Prediction-of-Tool-WearLinks
IoT based Tool Wear Prediction, a project to collect and analyze vibration data in MATLAB and use the data to predict for tool wear.
☆10Updated 5 years ago
Alternatives and similar repositories for Prediction-of-Tool-Wear
Users that are interested in Prediction-of-Tool-Wear are comparing it to the libraries listed below
Sorting:
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆172Updated last year
- Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.☆11Updated 3 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆35Updated 5 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆123Updated 4 years ago
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆95Updated 4 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆104Updated 2 years ago
- ☆56Updated 2 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆159Updated 4 years ago
- Using LSTM to predict bearings' remaining useful life☆49Updated 4 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 2 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆48Updated 3 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆32Updated 6 years ago
- foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimationRemaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data…☆13Updated last year
- ☆19Updated 3 years ago
- ☆10Updated 5 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆143Updated 3 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 4 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆11Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆19Updated 3 years ago
- ☆64Updated 4 years ago
- ☆99Updated last year
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- ☆12Updated last year
- Remaining useful life prediction by Transformer-based Model☆52Updated 3 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆200Updated 8 months ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆58Updated 2 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆42Updated 3 years ago