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%.
☆25Updated 11 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:
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆27Updated 2 years ago
- WindTurbineHighSpeedBearingPrognosis-Data☆10Updated 5 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆114Updated 9 months ago
- ☆38Updated last year
- The intelligent fault diagnosis of HNU IDG☆110Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆61Updated 7 months ago
- WT-planetary-gearbox-datasets☆75Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆86Updated 5 months ago
- ☆106Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆19Updated 7 months ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆139Updated 6 months ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆34Updated 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 fault diagnosis method for rotating machinery based on CNN with mixed information☆30Updated last year
- Remaining useful life prediction by Transformer-based Model☆52Updated 3 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆37Updated 2 years ago
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆44Updated last year
- 基于深度学习的机械故障诊断☆36Updated 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☆35Updated 2 years ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆18Updated last year
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆173Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆44Updated 7 months ago
- A few shot learning repository for bearing fault diagnosis.☆100Updated 2 years ago
- A modular framework for deep learning research in Prognostics and Health Management (PHM), enabling streamlined execution of key tasks su…☆37Updated last month
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆80Updated 7 months ago
- Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, …☆46Updated 2 years ago
- Code sharing of fault diagnosis papers.☆51Updated last year
- case study for remaining useful life estimation☆34Updated last year