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.

Papers and datasets for Vibration Analysis

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.

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.

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

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.

Predictive Maintenance System for Digital Factory Automation

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.

Evolutionary Neural Architecture Search on Transformers for RUL Prediction