Preventive maintenance through predictive analytics

ship taking on cargo (US Navy photo by Bill Mesta/released)

2018 Government Innovation Awards

Preventive maintenance through predictive analytics


When the Navy’s Military Sealift Command realized that its decades-long horde of unstructured maintenance data was hampering strategic decision-making, officials turned to machine learning for help.

The command teamed up with Abeyon, a firm that specializes in artificial intelligence solutions, to create the data analysis tool Clarifi — a preventive capability that monitors the condition and reliability of all 100 of the command’s ships.

Using sample documents representing the larger unstructured dataset, the team built a machine learning-based text analysis model to explore and identify relationships among the equipment data and entities.

The tool’s pilot version turned nearly 30 years’ worth of data locked in Word documents into educated decisions regarding ships and their maintenance. Overall, the tool has increased operational efficiency and helped lower costs by millions of dollars.

As the technology matures, Clarifi could offer recommendations on equipment health, condition and potential for failure. Instead of guessing whether a machine has reached its end, the command can now look to the past to predict problems and preempt them.

Visit GCN.com for all the 2018 Public Sector Innovation winners


About the Author

Connect with the GCN staff on Twitter @GCNtech.

Let's block ads! (Why?)



from All Articles and Blogs https://ift.tt/2SYoYjT
via Defens News
Preventive maintenance through predictive analytics Preventive maintenance through predictive analytics Reviewed by Unknown on 12:58:00 Rating: 5

No comments:

Defense Alert. Powered by Blogger.