The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

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)

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

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

ARAKAT - Big Data Analysis and Business Intelligence Application Development Platform

Predictive Maintenance System for Digital Factory Automation

time-series prediction for predictive maintenance

collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset

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.

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

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

Deep Learning applied to predictive maintenance use cases

Curated list of predictive maintenance research and repositories.

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

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

Industry Machine Learning Hackfest Material

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

Application of survival analysis, predictive maintenance, churn analysis, remaining useful life prediction

Material for my Predictive Maintenance class

This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning models.

Predictive maintenance using Deep Learning

Predictive maintenance on the edge. uTensor - for building ML models for edge devices. Emedded RTOS C++ programming. Build a model on the desktop/laptop and transfer to a ST microprocessor.

Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibration signal as healthy or faulty and on the other hand, given a signal predicting time to failure based on early anomaly detection.

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

Air Quality Index Predict the weather is good or bad

Predictive Maintenance Data Analysis from Kaggle

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%.

A repository of MATLAB projects and codes