iamownt / LSTM-DeepFM
Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor
☆25Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for LSTM-DeepFM
- ☆85Updated 2 years ago
- Soft Sensor with Variational Inference Technique☆17Updated last month
- Adaptive Soft Sensors☆17Updated 5 years ago
- Soft sensor modelling using multiple machine learning algorithms☆21Updated 5 years ago
- Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"☆20Updated 4 years ago
- Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks☆37Updated 5 years ago
- this code implements the Bayesian-MCMC based prognostics model. PHM2010 data challenge data are used to verifty the model.☆16Updated 3 years ago
- Ultra-short-term multi-step wind speed prediction for wind farms based on adaptive noise reduction technology and temporal convolutional …☆27Updated 11 months ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆23Updated 2 years ago
- Binary Time Series Classification using two different approaches: LSTM with Dropout and LSTM with Attention.☆13Updated 4 years ago
- A novel time series forecasting model, called CEEMDAN-TCN.☆11Updated 2 years ago
- Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)☆23Updated last month
- This file includes datasets and LSTM combined with PSO algorithm MATLAB code.☆53Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆45Updated 5 months ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆23Updated last year
- ☆33Updated last year
- Multi-mode Fault Diagnosis Datasets with TE process (MMFDD-TEP) can be used for the purpose of comparison studies or validation of algor…☆19Updated 7 months ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆11Updated 2 years ago
- Industrial process, Silicon content, molten iron quality (MIQ) prediction, soft sensor, deep learning, sintering process, blast furnace i…☆20Updated 4 months ago
- EMD-VMD-TCN short-term load forecasting☆12Updated last year
- CSDN中的代码 在github中建立仓库存储☆26Updated last year
- ☆61Updated 3 years ago
- An semi-supervised extension based on VAE for Regression, demonstrate its performance on two soft sensor benchmark problems.☆12Updated last year
- Unified index for unsupervised fault detection in a Tennessee Eastman Process☆13Updated 5 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆128Updated 7 months ago
- Application of Transfer Learning for RUL Prediction☆24Updated 3 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆22Updated last year
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆18Updated 2 years ago
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆20Updated 5 years ago