kss0222 / CNN-for-regressionLinks
CNN for regression
☆12Updated 6 years ago
Alternatives and similar repositories for CNN-for-regression
Users that are interested in CNN-for-regression are comparing it to the libraries listed below
Sorting:
- keras-regression-cnns☆11Updated 5 years ago
- ☆23Updated 4 years ago
- Novel algorithms to predict Remaining Useful Life (RUL) on NASA’s benchmark dataset, CMAPSS turbofan engine degradation simulation.☆11Updated last year
- This is a repository of code and experiment data for paper <A probability confidence CNN model and its application in mechanical fault di…☆10Updated 4 years ago
- An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It c…☆14Updated 11 months ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆27Updated 3 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆20Updated 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 novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆12Updated 5 months ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆114Updated 3 years ago
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆12Updated 7 months ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆26Updated 2 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆58Updated 2 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）☆84Updated 3 years ago
- Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO f…☆35Updated 3 years ago
- The code for paper "Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection"☆21Updated 2 years ago
- 基于可变形卷积和注意力机制的滚动轴承故障诊断☆48Updated 4 years ago
- ☆18Updated 6 years ago
- Denoising diffusion model, 1d version.☆21Updated last year
- Encoding time series as images using GAF operation by pyts.☆227Updated 3 years ago
- Denoising method for C-MAPSS based on a denoising GAN. Includes other six denoising methods such as DAE, SG filter, etc.☆11Updated 2 years ago
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆15Updated 2 years ago
- Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.☆42Updated last year
- WT-planetary-gearbox-datasets☆75Updated last year
- MSTDA☆11Updated 11 months ago
- ☆106Updated last year
- MATLAB toolbox for simulating the lateral dynamics of rotating machines.☆46Updated last year
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆43Updated 5 years ago
- The project focuses on prediction of RUL (Remaining Useful Life) of aircraft engine. The acitivity is carried out in PyTorch frameowrk us…☆11Updated 3 years ago