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%.
☆31Updated last week
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:
- ☆38Updated last year
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆29Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆39Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆92Updated 7 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆40Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆62Updated 9 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆45Updated 3 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆49Updated 9 months ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆35Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆69Updated last year
- 一种轻量化故障诊断框架——LiConvFormer☆129Updated 11 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☆37Updated 2 years ago
- 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 Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆32Updated 2 years ago
- Code sharing of fault diagnosis papers.☆55Updated last year
- The intelligent fault diagnosis of HNU IDG☆117Updated 3 years ago
- ☆46Updated 3 years ago
- ☆36Updated 3 years ago
- 基于深度学习的机械故障诊断☆37Updated last year
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆143Updated 8 months ago
- ☆33Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆102Updated 2 years ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" (MLDSO) which p…☆34Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆24Updated 9 months ago
- ☆23Updated 2 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated last year
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆32Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆44Updated 2 years ago