Within the United States Department of Defense (DOD), there is a lack of ontology alignment between the various maintenance environments. Consequently, there are bottlenecks, delays in maintenance activities, supply chain inefficiencies, and a lack of weapons systems readiness. Therefore, a decision to create a common ontology for achieving predictive maintenance goals was taken.
Consequently, a Commercial Technologies for Maintenance Activities (CTMA) project to build an ontology for the Army H-60 air platform was initiated. On 4 February 2021, attendees representing all the Services, Joint Artificial Intelligence Center (JAIC), and Condition-Based Maintenance (CBM+) subject matter experts gathered for a presentation on the project results.
During the presentation, industry partners, Tamr and LMI, used a virtual platform to demonstrate their process for integrating maintenance ontology with generic helicopter language, and finally H-60 variant parts ontology. According to them, the key benefits include:
• Establishing the future gold standard for maintenance data and process documentation
• Repeatable and scalable creation of adaptive digital twin
• Force multiplier for data analysis for improved readiness and cost avoidance
• Ontology-enabled investigations
The demonstration was a huge success with the transformational potential to broaden AI and machine learning across the DOD. Furthermore, JAIC plans to share the results across multiple platforms while continuing the next phase of the project.
Click here to read the original article published by The National Center for Manufacturing Sciences.
Please give your feedback on this article or share a similar story for publishing by clicking here.
