EU-funded XMANAI project deals with bringing explainable AI to the Industry, and this asset is an example of the models developed during the project. read more of XMANAI Hybrid model

A workflow for the specific case of process monitoring data which contains cycles repeating over a long time is presented. The method relies on predefined features ideally used as health-indicators which are aggregated over the cycles. Anomaly detection, ... read more of Predictive Maintenance Algorithms for Ball Screws

In order to develop predictive maintenance algorithms to determine the RUL (Remaining Useful Lifetime) of ball screws a solid, high quality data base is crucial. To build this data base a test bench has been built to collect data under laboratory conditio... read more of Ball Screw Test Bench Dataset

THRUST-AID is an AI-powered automatic powerline defect detection tool, trained on extensive ultra-high resolution aerial imagery data selected from the entire Lithuania’s transmission network. The developed AI analytics software is able to identify high-r... read more of THRUST-AID: AI Diagnostics for aerial electricity grid inspections

Dashboard service for Asset Management of Circuit Breakers (CBs), including a set of AI-based analytics for power system fault analysis and predictive maintenance for CBs, predicting the optimal days of operation before the next maintenance action is requ... read more of I-NERGY Project: Circuit Breaker Asset Management

This file contains a synthetic dataset to create baseline behavior models for transformers temperature. The dataset is a 5 columns containing the 4 temperature and the hour, with a 5 minutes frequency. read more of Synthetic dataset with transformer temperatures

In the domains of aeronautics, automotive, energy, manufacturing and retail, Munich Innovation Hub for Applied AI proposes novel solutions to counter the complexity and dependability challenges resulting from distributed accountability, the need for more ... read more of DIH4AI: X-MUC-2_Platform-as-a-service for accountable evidential transactions

Descriptive and predictive analytics for manufacturing legacy and operational data related to maintenance, delivering insights on critical manufacturing operations. read more of AI REGIO-S5 Enterprise Big Data Analytics Suite: Manufacturing

A Digital Twin solution that, leveraging a middleware and data analytics module, processes all the data received from shopfloor to identify potential faults. read more of AI REGIO Digital Twin For Predictive Maintenance

Data preprocessing, Feature Engineering, Model Development, Evaluation & Selection for Predictive Maintenance in Manufacturing. Part of the development of this asset was supported by the AI REGIO project, which has received funding from the European U... read more of AI REGIO Predictive Maintenance using Machine Learning

A Visualisation Tool for Interpretable Predictive Maintenance read more of VisioRed

Open dataset of brushed DC motor faults for testing of AI algorithms read more of open_DC_motor