Power Tools for AI Engineers With Deadlines

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

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.

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.

Predictive Maintenance System for Digital Factory Automation

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.

time-series prediction for predictive maintenance

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

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

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

Time-series analysis using the Matrix profile in Julia