Power Tools for AI Engineers With Deadlines
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Updated
Jul 31, 2023 - Jupyter Notebook
Power Tools for AI Engineers With Deadlines
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
Papers and datasets for Vibration Analysis
Datasets for Predictive Maintenance
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
Predictive Maintenance for Vehicle Fleets
Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.
time-series prediction for predictive maintenance
This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
Predictive Maintenance System for Digital Factory Automation
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Evolutionary Neural Architecture Search on Transformers for RUL Prediction
Deep Learning applied to predictive maintenance use cases
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