yriyazi / Enhanced-Gearbox-Fault-Diagnosis-with-Fusion-LSTM-CNN-Network-ISAV_2023Links
The Gearbox Fault Diagnosis dataset consists of vibration data recorded using SpectraQuest’s Gearbox Fault Diagnostics Simulator. The dataset captures vibrations using four sensors placed in different directions, under varying loads from 0% to 90%.
☆20Updated 7 months ago
Alternatives and similar repositories for Enhanced-Gearbox-Fault-Diagnosis-with-Fusion-LSTM-CNN-Network-ISAV_2023
Users that are interested in Enhanced-Gearbox-Fault-Diagnosis-with-Fusion-LSTM-CNN-Network-ISAV_2023 are comparing it to the libraries listed below
Sorting:
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆39Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆91Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Fault detection and diagnosis for dynamic system based on GAN and independent subspace reconstruction☆9Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- 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☆36Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 4 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆79Updated 2 months ago
- ☆38Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆54Updated 2 weeks ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 10 months ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆69Updated 4 months ago
- ☆45Updated 3 months ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆40Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- ☆45Updated 3 years ago
- ☆33Updated 2 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 4 months ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆29Updated 6 months ago
- ☆22Updated 2 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆57Updated 3 years ago
- ☆32Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆61Updated 11 months ago
- ☆25Updated 2 years ago
- ☆23Updated 2 years ago
- Using transformer to realize Bearing Fault Diagnosis☆64Updated 2 years ago