- Earnings & Presentations
- Annual Reports & Proxy Statements
- SEC Filings
- Stock Information
- Corporate Governance
|View printer-friendly version|
|Raytheon testing AI to improve CV-22 maintenance planning|
"Just like you get your car's oil changed every 5,000 miles, whether you need to or not, the military generally repairs parts on their planes on a set schedule," said
The capability mirrors how many commercial airlines perform fleet maintenance. For example, some commercial aircraft engine manufacturers can report the exact condition of their engines in real time, along with recommendations on where and when repairs should be conducted.
"We're always interested in finding new ways to integrate AI tools – especially commercial tools – into our operations," said Gilligan. "This seemed like the perfect opportunity to test out the concept of using AI for predictive maintenance, something that we're starting to see being adopted broadly in the commercial world."
In addition to saving time and money by not doing unnecessary repairs, using AI to predict maintenance needs allows the service to move the right tools, parts and technicians where and when they're needed.
Onsite at Paris Airshow:
View original content to download multimedia:http://www.prnewswire.com/news-releases/raytheon-testing-ai-to-improve-cv-22-maintenance-planning-300869434.html