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Technology supplier

MTU Maintenance

Predictive MaintenanceData Analytics & AI Platforms

MTU Maintenance, the engine repair arm of MTU Aero Engines, uses AI to flag abnormal engine behaviour after each flight and to plan when engines should come off the wing.

Founded in 1979 with 1,001 to 5,000 staff near Hannover, it runs WebETM and myETM trend monitoring and myEFM fleet management, whose removal and workscope planning its programme lead says relies on AI. CORTEX targets V2500 operators. Its core repair work is conventional.

Viva Aerobus became launch customer in October 2025 for enhanced engine health monitoring on its A320-family V2500 engines, combining MTU's analytics with Teledyne Controls' data delivery. Other monitoring customers are not named.

No verified deployments yet

MTU Maintenance is profiled in the companies register, but no deployment has been verified against published evidence. Records are added as evidence is reviewed and graded.

Products & Solutions

3 products

WebETM 3.0

Web-based engine technical manual and documentation management system providing airline and MRO technicians with access to current engine maintenance, troubleshooting, and overhaul manuals for multiple engine families through a single browser-based interface.

The problem it addresses

Engine maintenance technicians working across multiple engine types need rapid access to current maintenance publications without managing multiple paper libraries or disparate OEM portal logins.

Key features
  • Browser-based access to engine technical publications
  • Multi-engine family support in single platform
  • Automatic revision management
  • Search and cross-reference capabilities
Technical specifications (2)
  • Web-based, browser-accessible
  • Supports CF34, CF6, CFM56, GE90, LEAP, PW2000, V2500 engine families
Product documentation

CORTEX

AI-powered engine condition monitoring and predictive analytics platform that analyses V2500 engine performance data to predict shop visit requirements, optimise maintenance intervals, and reduce unplanned removals.

The problem it addresses

Airlines operating V2500-powered aircraft (A319/A320/A321) incur significant cost from unplanned engine removals. Predictive analytics using actual engine performance data enables proactive scheduling of shop visits, reducing AOG risk and optimising time-on-wing.

Key features
  • V2500 engine performance data analysis
  • Predictive shop visit requirement forecasting
  • Maintenance interval optimisation
  • Unplanned removal risk scoring
Technical specifications (2)
  • V2500 engine family specific
  • 200+ V2500 engines monitored at launch
Product documentation

myEFM

Customer portal for MTU Maintenance clients providing self-service access to engine fleet management data, shop visit status, performance reports, and documentation for engines managed under MTU Maintenance service agreements.

The problem it addresses

Airlines with engines under MTU Maintenance service contracts need real-time access to their fleet status and shop visit data without depending on account manager communication for routine information.

Key features
  • Engine fleet status dashboard
  • Shop visit progress tracking
  • Performance report access
  • Technical documentation self-service
Technical specifications (1)
  • Web-based customer portal
Product documentation

Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.

Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.