liguge / xLSTM-for-intelligent-fault-diagnosis-of-rolling-bearingsLinks
xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings
☆31Updated last year
Alternatives and similar repositories for xLSTM-for-intelligent-fault-diagnosis-of-rolling-bearings
Users that are interested in xLSTM-for-intelligent-fault-diagnosis-of-rolling-bearings are comparing it to the libraries listed below
Sorting:
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆80Updated 4 months ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆35Updated 2 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆35Updated last year
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆43Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 6 months ago
- 基于深度学习的机械故障诊断☆35Updated last year
- This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.(实验室自采多模态电机故障数据,振动信号+声音信号)☆22Updated last year
- Code sharing of fault diagnosis papers.☆51Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆59Updated 6 months ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆16Updated 6 months ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆31Updated 6 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆63Updated last year
- ☆14Updated 3 months ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆37Updated 2 years ago
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆29Updated last year
- ☆45Updated 5 months ago
- 一种用于复杂工况机械故障检测的GNN方法☆47Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- MSTDA☆11Updated 10 months ago
- ☆17Updated 10 months ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- ☆33Updated 2 years ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆19Updated last year
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆19Updated 4 years ago
- A few shot learning repository for bearing fault diagnosis.☆96Updated 2 years ago
- code for DFAWnet☆36Updated 2 years ago
- A modular framework for deep learning research in Prognostics and Health Management (PHM), enabling streamlined execution of key tasks su…☆34Updated last month
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago