基于注意力机制的少量样本故障诊断 pytorch
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Jun 26, 2025 - Python
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phm
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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 CMAPSS dataset. Signal selection, Attention mechanism, and Interpretability of deep learning are explored.
tensorflow keras fcn attention-mechanism interpretability phm cmapss remaining-useful-life-prediction
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Feb 18, 2023 - Python
Hypercomplex Neural Networks with PyTorch
pytorch convolutional-neural-networks phc hypercomplex lightweight-neural-network efficient-neural-networks phm quaternion-neural-networks hypercomplex-neural-networks hypercomplex-algebra hypercomlpex-parameterization parameterize-neural-network lightweight-convolution hypercomplex-convolution parameterize-hypercomplex-layer
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Dec 14, 2022 - Python
Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can be further studied.
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Feb 27, 2024 - Python
🛰 Monitor rocket system health with point anomaly detection on time series data using simple detectors and evaluate performance metrics.
python machine-learning time-series random-forest aerospace telemetry rocket anomaly-detection synthetic-data isolation-forest condition-monitoring ewma rocket-engine demo-project health-monitoring phm
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Jan 10, 2026 - Python
This repository contains a small, focused **AI-assisted health monitoring** demo for a **liquid-propellant rocket engine**.
python machine-learning time-series random-forest aerospace telemetry anomaly-detection synthetic-data condition-monitoring rocket-engine health-monitoring phm
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Nov 11, 2025 - Python
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