hustcxl / Deep-learning-in-PHMView external linksLinks
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
☆476Mar 24, 2021Updated 4 years ago
Alternatives and similar repositories for Deep-learning-in-PHM
Users that are interested in Deep-learning-in-PHM are comparing it to the libraries listed below
Sorting:
- to prediction the remain useful life of bearing based on 2012 PHM data☆310Jan 17, 2021Updated 5 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆150Jan 6, 2022Updated 4 years ago
- ☆64Jul 13, 2019Updated 6 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆85Dec 7, 2018Updated 7 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆248Oct 2, 2020Updated 5 years ago
- Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative …☆521Mar 1, 2022Updated 3 years ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆281Dec 8, 2022Updated 3 years ago
- Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"☆741Nov 20, 2021Updated 4 years ago
- Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)☆1,139May 29, 2025Updated 8 months ago
- 智能故障诊断和寿命预测期刊(Journals of Intelligent Fault Diagnosis and Remaining Useful Life)☆437Jan 11, 2026Updated last month
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆100Aug 13, 2019Updated 6 years ago
- Remain useful life prediction of rolling bearing.☆58Oct 30, 2020Updated 5 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆215Jan 5, 2025Updated last year
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆71Jul 31, 2018Updated 7 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆200Apr 6, 2024Updated last year
- ☆66Nov 30, 2020Updated 5 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆371Oct 10, 2022Updated 3 years ago
- RUL Nasa Turbofan Dataset (paper)☆26May 14, 2020Updated 5 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆132Nov 6, 2020Updated 5 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆52Nov 10, 2021Updated 4 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆291Oct 26, 2021Updated 4 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆58May 23, 2024Updated last year
- CNN for mechanical fault diagnosis☆333Apr 24, 2018Updated 7 years ago
- this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.☆314Jan 31, 2023Updated 3 years ago
- This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和…☆384Jun 28, 2025Updated 7 months ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆175Jul 5, 2021Updated 4 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆33Oct 10, 2023Updated 2 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆85Apr 2, 2023Updated 2 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆274Jun 26, 2025Updated 7 months ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆193May 6, 2021Updated 4 years ago
- Code and supplementary material for ICPHM2020☆27Jun 24, 2020Updated 5 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆169Mar 17, 2023Updated 2 years ago
- Bearing fault diagnosis model based on MCNN-LSTM☆410Jul 20, 2023Updated 2 years ago
- ☆72Jan 17, 2021Updated 5 years ago
- ☆57Jan 18, 2026Updated 3 weeks ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆34May 6, 2019Updated 6 years ago
- Siamese network for bearing fault diagnosis☆93Jan 18, 2020Updated 6 years ago
- ☆92Dec 14, 2020Updated 5 years ago
- Using LSTM to predict bearings' remaining useful life☆50Apr 30, 2021Updated 4 years ago