28 results found Sort:
- Filter by Primary Language:
- Python (20)
- Jupyter Notebook (4)
- MATLAB (1)
- +
Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction
Created
2019-11-01
88 commits to master branch, last one 3 years ago
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Created
2021-05-18
36 commits to main branch, last one 9 months ago
智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）
Created
2022-06-16
177 commits to gh-pages branch, last one 15 days ago
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
Created
2019-08-24
11 commits to master branch, last one 2 years ago
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
Created
2018-11-09
105 commits to master branch, last one 2 years ago
This repository is for the transfer learning or domain adaptive with fault diagnosis.
Created
2019-06-11
51 commits to master branch, last one 3 years ago
基于注意力机制的少量样本故障诊断 pytorch
Created
2021-07-05
108 commits to main branch, last one about a year ago
A transfer learning fault diagnosis repository covering popular algorithms
Created
2022-11-03
21 commits to main branch, last one 4 months ago
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Created
2022-03-17
103 commits to adatime_v2 branch, last one about a year ago
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
Created
2021-03-11
21 commits to main branch, last one 3 years ago
This is the code for WaveletKernelNet.
Created
2020-04-09
26 commits to master branch, last one 2 months ago
智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis
Created
2021-04-30
101 commits to main branch, last one about a year ago
This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
Created
2019-04-18
192 commits to master branch, last one 2 days ago
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
Created
2021-01-30
11 commits to main branch, last one 2 years ago
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
Created
2024-05-23
96 commits to main branch, last one 3 months ago
A few shot learning repository for bearing fault diagnosis.
Created
2022-11-03
18 commits to main branch, last one about a year ago
Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Meas...
Created
2022-08-11
54 commits to main branch, last one 7 months ago
Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of Rolling Bearings pytorch
Created
2023-02-21
66 commits to main branch, last one 7 months ago
Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnosis problem.
Created
2024-03-26
27 commits to main branch, last one about a month ago
An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
Created
2024-01-12
10 commits to main branch, last one 5 months ago
Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.
Created
2023-05-04
21 commits to main branch, last one about a year ago
Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer
Created
2023-01-12
39 commits to main branch, last one about a year ago
A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)
Created
2022-09-09
21 commits to main branch, last one 2 years ago
A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism
Created
2022-02-18
15 commits to main branch, last one about a year ago
A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionally induced faults, encompassing diverse fault severities and typ...
Created
2024-04-09
18 commits to main branch, last one 2 months ago
Random convolution layer: An auxiliary method to improve fault diagnosis performance
Created
2023-02-17
42 commits to main branch, last one 4 months ago
PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis" by Wang et al.
Created
2023-09-25
2 commits to main branch, last one about a year ago
TCN-LSTM Motor Vibration Fault Diagnosis Model
Created
2023-09-22
8 commits to main branch, last one 4 months ago