sxycchb / Transformer_BearingFaultDiagnosis-master
☆13Updated last year
Alternatives and similar repositories for Transformer_BearingFaultDiagnosis-master:
Users that are interested in Transformer_BearingFaultDiagnosis-master are comparing it to the libraries listed below
- Using transformer to realize Bearing Fault Diagnosis☆60Updated last year
- 一种轻量化故障诊断框架——LiConvFormer☆87Updated 3 months ago
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆10Updated last year
- ☆92Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- 基于深度学习的机械设备故障诊断方法研究☆32Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆80Updated last year
- Transfer learning☆49Updated 3 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆28Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆52Updated last month
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆37Updated 2 years ago
- ☆45Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆41Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆71Updated 10 months ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆36Updated last year
- Hongchun-Qu / Research-and-Application-of-Bearing-Fault-Diagnosis-Based-on-Deep-Encoder-Classification-Model☆13Updated 2 years ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆27Updated 8 months ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆17Updated 4 months ago
- ☆24Updated 3 years ago
- 轴承故障诊断☆78Updated 2 years ago
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year
- 机械故障诊断公开数据集☆49Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- Remain useful life prediction of rolling bearing.☆55Updated 4 years ago
- 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)☆52Updated last year
- Using LSTM to predict bearings' remaining useful life☆47Updated 3 years ago
- 基于深度学习的机械故障诊断☆31Updated last year
- 这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现，该模型具有优越的抗噪能力，可用于轴承的智能故障诊断。☆44Updated 2 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆54Updated 8 months ago
- case study for remaining useful life estimation☆29Updated 11 months ago