Enhancing plant maintenance with real-time predictions

Publish date:

Capgemini’s scalable yet dynamic predictive maintenance solution reduces human intervention and cost of sudden breakdown of the robotic arms by predicting genuine failure at least 1 to 2 days prior.

The solution created a model which identified failure and triggered preemptive action along with a malfunction score based on Machine Learning’s (ML) decision-tree and random forest algorithms.

 

Real-time predictions of...

File size: 212.24 KB File type: PDF

Featured Expert

Fabian Schladitz

Expert in Artificial Intelligence, Big Data & Analytics

Related Resources

Insights & Data

Capgemini Smart Procurement Management

Improved operating margins through cost control and cost minimizations

Insights & Data

UtilitySMART

Capgemini’s UtilitySMART improves operations of assets and networks workforce,...

Insights & Data

Cognitive Document Processing – a Point of View

Capgemini’s new platform uses the latest artificial intelligence techniques and machine...