MatPiech / motor-fault-diagnosis
Multi-sensor data collection gathered to expand research on anomaly detection, fault diagnosis, and predictive maintenance, mainly using non-invasive methods such as thermal observation or vibration measurement.
☆19Updated last year
Related projects: ⓘ
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆26Updated 2 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆26Updated 2 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆21Updated 11 months ago
- 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☆31Updated last year
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated last year
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆28Updated 11 months ago
- case study for remaining useful life estimation☆19Updated 5 months ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆25Updated 3 weeks ago
- A few shot learning repository for bearing fault diagnosis.☆55Updated last year
- Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults☆11Updated last month
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- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆48Updated last year
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆15Updated 3 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆12Updated 8 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆56Updated 4 months ago
- ☆19Updated last year
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆24Updated 2 years ago
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆40Updated 5 months ago
- Remaining useful life prediction for N-CMAPSS dataset☆16Updated 2 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆25Updated last year
- Remaining useful life prediction by Transformer-based Model☆36Updated 2 years ago
- Code sharing of fault diagnosis papers.☆42Updated 8 months ago
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆9Updated 11 months ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆16Updated 9 months ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆12Updated 6 months ago
- ☆56Updated 3 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆57Updated last year
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.（30余个开源故障…☆59Updated 4 months ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆27Updated 11 months ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆17Updated last year