基于迁移学习DANN模型，对不同工况轴承进行故障诊断
☆61Jun 8, 2021Updated 5 years ago
Alternatives and similar repositories for fd-dann
Users that are interested in fd-dann are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 基于迁移学习的离心泵滚动轴承故障自动识别方法研究☆20May 29, 2020Updated 6 years ago
- 迁移学习(故障诊断)上的一点探索☆14Mar 23, 2021Updated 5 years ago
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆29May 9, 2022Updated 4 years ago
- Transfer learning☆63Aug 13, 2021Updated 5 years ago
- 基于可变形卷积和注意力机制的滚动轴承故障诊断☆52Jan 22, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 1DCNN Fault Detection（1DCNN的轴承故障诊断）☆209Apr 21, 2022Updated 4 years ago
- 本项目旨在实现轴承故障的自动分类。通过对原始轴承振动信号进行包络分析、带通滤波、希尔伯特变换及短时傅立叶变换等处理，将其转换为二维图谱，再利用 2D 卷积神经网络对这些图谱特征进行学习，从而实现对轴承故障类型的精准识别，为轴承故障诊断提供高效解决方案。☆18Aug 25, 2025Updated last year
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆56Jul 30, 2023Updated 3 years ago
- 采用一种包含加权水平可见图(WHVG)的图卷积网络(GCN)，对采样的轴承震动时间序列数据分析，进行滚动轴承故障诊断。其中，对HVG中两节点的边，以节点距离的倒数作为权重进行加权，以削弱噪声节点对其他距离较远节点的影响。☆46Apr 18, 2023Updated 3 years ago
- 基于深度学习的滚动轴承故障诊断方法☆223May 4, 2019Updated 7 years ago
- 轴承在线监测与故障诊断系统Labview程序☆21Aug 25, 2014Updated 12 years ago
- 轴承故障诊断迁移学习网页☆23Jun 11, 2025Updated last year
- 轴承故障检测 训练赛第30名代码☆145May 14, 2019Updated 7 years ago
- ☆18Jun 30, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆129Dec 14, 2024Updated last year
- 关于异常监测、故障诊断等等自己整理的代码☆38Nov 29, 2023Updated 2 years ago
- 轴承故障诊断☆137Aug 30, 2022Updated 4 years ago
- 帮同学做的轴承故障检测的代码☆21Jul 28, 2022Updated 4 years ago
- A transfer learning fault diagnosis repository covering popular algorithms☆374Aug 6, 2024Updated 2 years ago
- 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。☆60Mar 26, 2023Updated 3 years ago
- ☆13Sep 11, 2022Updated 4 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆296May 25, 2026Updated 5 months ago
- Use Paderborn data and HIilbert theory to diagnosis the fault of rolling bear with MATLAB.☆22Jun 10, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 毕设研究课题：根据轴承的振动序列数据来诊断轴承故障。☆134Apr 23, 2021Updated 5 years ago
- 1 提出了一种新的相似度损失(SimL)，用于增大类间差异同时减小类内差异；2 SimL+CE优化CNN；3 基于电信号诊断轴承故障☆14Jun 4, 2024Updated 2 years ago
- 利用西储大学开源的轴承故障数据，开发简单的人工神经网络，以实现对轴承故障的检测及识别。☆59Dec 4, 2020Updated 5 years ago
- Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆156Feb 28, 2025Updated last year
- 西储大学轴承数据集故障诊断的仿真平台☆137Oct 9, 2023Updated 3 years ago
- This is a repository of code and experiment data for paper <A probability confidence CNN model and its application in mechanical fault di…☆10May 7, 2021Updated 5 years ago
- The code for paper "Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection"☆21Mar 28, 2023Updated 3 years ago
- ☆12Jun 19, 2026Updated 4 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆63Dec 1, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A few shot learning repository for bearing fault diagnosis.☆123Aug 3, 2023Updated 3 years ago
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆25Dec 6, 2023Updated 2 years ago
- The code for NISTA_Net☆11Apr 7, 2023Updated 3 years ago
- Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）☆90May 25, 2022Updated 4 years ago
- 本模型使用NSL-KDD数据集，对数据集进行随机数特征分析后，选取具有代表性的25个特征采用CNN模型进行工业故障诊断。☆10Sep 26, 2021Updated 5 years ago
- 该项目实现了一个基于迁移学习的轴承故障诊断系统，目的是通过源域数据训练模型，并通过迁移学习方法对目标域进行故障分类。我们使用了多种深度学习技术，包括 多模态残差网络（Multimodal ResNet）和基于特征的对抗网络（DANN），以提升目标域数据的分类效果。☆21Sep 25, 2025Updated last year
- ☆113Oct 26, 2022Updated 4 years ago