holden-mcgorin / FastPHMLinks
A modular framework for deep learning research in Prognostics and Health Management (PHM), enabling streamlined execution of key tasks such as Remaining Useful Life (RUL) prediction, fault diagnosis, and anomaly detection.
☆37Updated last month
Alternatives and similar repositories for FastPHM
Users that are interested in FastPHM are comparing it to the libraries listed below
Sorting:
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆19Updated 7 months ago
- ☆33Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆86Updated 5 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆44Updated 7 months ago
- 基于深度学习的机械故障诊断☆36Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆38Updated last year
- ☆45Updated 6 months ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆34Updated last year
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆15Updated last month
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆70Updated 5 months ago
- Code sharing of fault diagnosis papers.☆51Updated last year
- ☆13Updated last year
- This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.(实验室自采多模态电机故障数据,振动信号+声音信号)☆24Updated this week
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆37Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆61Updated 7 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆30Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆40Updated 5 months ago
- A few shot learning repository for bearing fault diagnosis.☆100Updated 2 years ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆97Updated last year
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆35Updated 2 years ago
- Awsome-Multi-modal-based PHM (基于多模态的故障诊断和预测)☆85Updated 3 months ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆29Updated 2 years ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆31Updated last year
- This repository contains the implementation of the model for bearing fault diagnosis,also includes five comparison models for performance…☆19Updated 7 months ago
- ☆33Updated 3 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆32Updated 7 months ago
- WT-planetary-gearbox-datasets☆75Updated last year