M73ACat / IFD-Preprocessing-Experiment
机器学习背景下旋转机械振动信号故障诊断是否需要信号预处理——使用CWRU数据的一次尝试 Whether signal preprocessing is needed for fault diagnosis of rotating machinery vibration signals in the context of machine learning - an attempt using CWRU data
☆14Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for IFD-Preprocessing-Experiment
- M-band Wavelet Network for Anomaly Detection from a Frequency Perspective☆10Updated 5 months ago
- multi-source domain graph convolution networks (Fault and Abnormal Vibration Diagnosis)☆11Updated 2 years ago
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆8Updated 9 months ago
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆12Updated 3 years ago
- ☆18Updated last year
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆11Updated 7 months ago
- Variance discrepancy representation☆10Updated 5 months ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated last year
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆14Updated 8 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☆30Updated last year
- 一种新的用于噪声干扰下刀具的无监督异常检测方法☆18Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆22Updated last year
- ☆11Updated 2 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆14Updated 5 months ago
- This repository currently provides common and public avaiable bearing vibration datasets, including downloading, preprocessing and loadin…☆16Updated last year
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆37Updated 2 years ago
- The implementation of Multiplication Convolutional Networks (MCN) in Pytorch.☆17Updated 5 months ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆18Updated 2 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆16Updated 5 years ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆18Updated last year
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated last year
- The code for paper "Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection"☆18Updated last year
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆17Updated 11 months ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆9Updated last week
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆21Updated 5 months ago
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆13Updated last year
- SSGC: Synergistic Similarity Graph Construction for Steel Plate Fault Diagnosis with Graph Attention Networks☆18Updated 10 months ago
- ☆20Updated this week
- Python code for TCTL method☆10Updated 4 months ago
- DMsrTTLN code☆14Updated 2 months ago