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

H1st AI solves the critical “cold-start” problem of Industrial AI: encoding human expertise to augment the lack of data, while building a smooth transition toward a machine-learning future. This problem has caused most industrial-AI projects to fail.

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

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

ARAKAT - Big Data Analysis and Business Intelligence Application Development Platform

time-series prediction for predictive maintenance

Predictive Maintenance System for Digital Factory Automation

This workshop will familiarize you with some of the key steps towards building an end-to-end predictive maintenance system leveraging Amazon SageMaker, Amazon Polly and the AWS IoT suite.

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Predictive Maintenance for Vehicle Fleets

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

Industry Machine Learning Hackfest Material

Foundations of Strategic Business Analytics - ESSEC Business school via Coursera.org

Curated list of predictive maintenance research and repositories.

🖥 Approaching predictive maintenance and engine failure detection, based on open datasets.

Material for my Predictive Maintenance class

A framework to implement Machine Learning methods for time series data.

Predictive maintenance using Deep Learning

Application of survival analysis, predictive maintenance, churn analysis

Codes written in the course of a data science workshop at KIT in cooperation with FZI

Deep Learning applied to predictive maintenance use cases

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

Sample code as a template for developing custom machine learning algorithms to be used with SAP Predictive Maintenance and Service.

A repository of MATLAB projects and codes

A data mining project for fault diagnosis using supervised learning methods.

Distributed MPI based Heterogenous GPU Solver for Markov Decision Processes (MDP)

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

In this project, high dimensional noisy data collected from thousands of trucks during the course of 4 years was compressed using Artificial Neural Networks (ANN). This compressed meaningful information was used for performing predictive maintenance on turbochargers. Our novel deep learning ANN architecture, compressed vehicle data by over 87% while still improving fault forecasting prediction by 23% and even with extreme data size reduction of 99.7% we still see a significant performance improvement of 6.31%.