Ankur6889 / Fault-Diagnosis-of-a-Rotating-Machinery
The objective of this project is to showcase how the performance of a multi-sensor system can be improved by reducing uncertainty, improving robustness and reliability by deploying statistical decision-making tools like Bayesian estimation. The project has been split into two parts, The first part deals with the problem of condition monitoring a…
☆10Updated 2 years ago
Alternatives and similar repositories for Fault-Diagnosis-of-a-Rotating-Machinery:
Users that are interested in Fault-Diagnosis-of-a-Rotating-Machinery are comparing it to the libraries listed below
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆19Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 2 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆14Updated last year
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆12Updated 2 months ago
- foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimationRemaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data…☆13Updated 11 months ago
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆25Updated 8 months ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆30Updated 2 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆19Updated 11 months ago
- Unofficial reproduction of: A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆19Updated last year
- ☆20Updated 2 years ago
- ☆15Updated 2 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated 2 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆23Updated last year
- case study for remaining useful life estimation☆26Updated 10 months ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆42Updated 3 years ago
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 2 months ago
- ☆18Updated 9 months ago
- Transfer Learning on RUL estimation☆11Updated 2 years ago
- ☆29Updated last year
- ☆9Updated 4 years ago
- 基于深度学习的机械故障诊断☆30Updated 11 months ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆49Updated 8 months ago
- FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断☆27Updated 2 years ago
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆16Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 2 years ago
- ☆13Updated 4 months ago
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆18Updated 3 years ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆23Updated 9 months ago