RCR Wireless
  • News
  • Channels
    • 5G
    • 6G
    • BSS OSS
    • Carriers
    • IoT
    • Network Infrastructure
    • Open RAN
    • Private 5G
    • Telco AI
    • Telco Cloud
    • Test & Measurement
  • Resources
    • Reports
    • Webinars
    • White papers
    • AI Fundamentals
    • Analyst Angle
    • Editorial Calendar
    • Fundamentals
      • 5G NR Release 17
      • AI
        • Telco AI in 2025
    • Podcasts
      • Let’s Get Digital with Carrie Charles
      • Wireless Connectivity to Enable Industry 4.0 for the Middleprise
      • Well Technically…
      • Will 5G Change the World
      • Accelerating Industry 4.0 Digitalization
  • AI Infrastructure
  • Programs
  • Events
  • RCRtv
  • Advertise
  • Subscribe
Friday, July 31, 2026
RCR Wireless
  • News
  • Channels
    • 5G
    • 6G
    • BSS OSS
    • Carriers
    • IoT
    • Network Infrastructure
    • Open RAN
    • Private 5G
    • Telco AI
    • Telco Cloud
    • Test & Measurement
  • Resources
    • Reports
    • Webinars
    • White papers
    • AI Fundamentals
    • Analyst Angle
    • Editorial Calendar
    • Fundamentals
      • 5G NR Release 17
      • AI
        • Telco AI in 2025
    • Podcasts
      • Let’s Get Digital with Carrie Charles
      • Wireless Connectivity to Enable Industry 4.0 for the Middleprise
      • Well Technically…
      • Will 5G Change the World
      • Accelerating Industry 4.0 Digitalization
  • AI Infrastructure
  • Programs
  • Events
  • RCRtv
  • Advertise
  • Subscribe
Add RCR Wireless as a preferred source on Google
  • Qualcomm 6G Insights
  • Huawei Content Hub
  • Qualcomm – 6G Vision
  • OSS/BSS Channel
  • RCRTech Roundtable: AI Infrastructure
RCR Wireless
RCR Wireless
  • Advanced Mimo
  • Mobile mmWave
  • 5G Positioning
  • Green Networks
  • Metaverse
  • Automotive
  • Industrial and Wide-area IoT
Copyright 2021 - All Right Reserved
Home - Case Study: Lockheed Martin uses big data for F-35 maintenance
Data AnalyticsInternet of Things (IoT)Use cases

Case Study: Lockheed Martin uses big data for F-35 maintenance

by Phillip Tracy September 2, 2016
written by Phillip Tracy September 2, 2016 Share
LinkedinEmail
Share 0LinkedinEmail
wireless infrastructure
172

Lockheed Martin turned to 3D technology and big data to streamline the diagnostics and maintenance processes for its F-35 and F-22 fighter planes, according to a case study provided by the Industrial Internet Consortium

source: Largest Dams/Youtube

source: Largest Dams/Youtube

The F-35 Lightning II is a family of fifth-generation stealth aircraft developed by Lockheed Martin designed for the nine participating nations in the Joint Strike Fighter (JSF) program, the largest cooperative of its kind since World War II.

Lockheed Martin not only designed and is building the F-35, it also delivers F-35 sustainment support, which includes training, prognostics and maintenance with the goal of helping military customers improve on-the-job support, while prolonging equipment life and maximizing the aircraft’s operational availability.

Tiny details can mean the difference between life and death

It goes without saying that the accurate assessment of the mechanical structure of an aircraft after combat or environmental hazard is crucial. Even small factors — such as the depth of a scratch or the distance of a hole from supporting structures — can impact flight-worthiness, aircraft stealth capability and pilot safety.

In order to ensure the proper maintenance of all these small details, Lockheed Martin looked to streamline its damage and assessment process for the F-35.

They wanted to move away from the traditional way of doing things, with maintenance technicians manually assessing and tracking damaged areas by placing a transparent film over these areas and tracing reference points, like seems or fasteners, with a marker, and cross-referencing the information with repair data history in a spreadsheet. The problem with cross-referencing line drawings is that it does not provide the optimal platform to visualize repair information, it is also cumbersome and time consuming, leaving more room for maintenance errors, according to Lockheed Martin.

A big data fix

To improve maintenance efficiency and accuracy, Lockheed Martin engineers adopted interactive 3D technology to integrate into their existing information infrastructure, or the Autonomic Logistics Information Systems (ALIS) software suite. The interactive technology was put in place to streamline operations, maintenance, prognostics, supply chain and customer support services data.

source: Industrial Internet Consortium

source: Industrial Internet Consortium

The solution, according to NGRAIN, needed to:

  • Provide accuracy within 1/10th of an inch
  • Allow complex 3D datasets to run interactively on tablet computers
  • Be user friendly for flight line maintainers.

The solution was provided by NGRAIN, a company that provides visualization and simulation solutions, to transform its damage assessment and repair system. NGRAIN developed the industry’s first interactive 3D Virtual Damage Repair and Tracking solution and came up with a solution that allows aircraft maintainers to capture damage information within a detailed 3D virtual model of the aircraft.

Lockheed Martin benefited from NGRAIN’s volume graphics technology, rendering performance on laptops and software development kit (SKD).

How it works

When working with the damage assessment solution, a technician specifies the aircraft tail number, or its unique identifier. The solution recognizes this number and immediately displays historical damage and repair data for that particular aircraft. The technician then enters data like damage type and dimensions.

source: Military Documentary/Youtube

source: Military Documentary/Youtube

Maintenance workers can use the solution to identify location of damage, insert photos and notes and visually locate parts for ordering. The virtual damage assessment software is delivered on portable, ruggedized computers, and works with other software applications to help maintainers quickly assess whether or not damages adversely impact aircraft mission capability. It also helps maintainers determine which damages need to be repaired to restore the aircraft to mission capability.

The solution was first delivered with F-35 aircraft to United States Air Force (USAF) test sites, and is now being deployed to aircraft procured by other nations participating in the JSF program.

If it works, keep using it

Lockheed Martin again selected NGRAIN to configure its software for F-22 maintenance. As part of the project, NGRAIN modified the solution for F-22 part numbers and identifiers. In addition to helping maintainers track and record exterior aircraft damage, the F-22 NGRAIN solution allows technicians to view the interior of wing inlets. NGRAIN engineers also configured the solution for Lockheed’s Integrated Maintenance Information System (IMIS), a software suite that acts as the “information backbone” for the F-22.

source: AIRBOYD/Youtube

source: AIRBOYD/Youtube

“The fact that NGRAIN is the only supplier outside of the US that has ever worked on the F- 22 is a testament to the F-35 tracking and repair solution’s effectiveness,” said Jeff Babione, vice president of the F-22 program.

Making crucial repairs easier to find

U.S. Airforce maintainers said they can now easily visualize damage repair data thanks to the newly integrated technology, and that they appreciated having immediate access to historical aircraft information post-operations, according to NGRAIN. This has helped maintainers save time and reduce the maintenance time-to-flight hour ratio.

Traditional methods, involving line drawings and cumbersome spreadsheets, have been replaced with streamlined processes integrated with back-end software systems. According to NGRAIN, these virtual damage assessment solutions, aircraft maintenance technicians can:

  1. Increase Operational Availability of Equipment: When an aircraft lands, maintainers on the flight-line can connect to the database and immediately determine whether the aircraft is flight-worthy.
  2. Work More Efficiently with Fewer Personnel: Using a streamlined process, maintainers can reduce the time required to document, assess and repair damage. In the case of the USAF, because the F-35 and F-22 solutions have similar workflow, aircraft maintainers can easily transition between the two platforms.
  3. Capture Data More Accurately: Providing maintainers with the ability to visualize and accurately represent aircraft damage on a 3D model reduces the probability of maintainers making mistakes, which translates into safety for pilots.
You Might Also Like
  • Japan’s private 5G market is finally moving beyond demo experiments (Analyst Angle)
  • Monday (telco diary) | Sovereign AI for Industry 4.0
  • When the push becomes the pull – private 5G and physical AI
  • Fast-growing private 5G offers blueprint for AI-era telecoms
  • Monday (telco diary) | Consolidation, orchestration, automation
  • Wireless Logic’s 21st acquisition exposes IoT consolidation paradox

Table of Contents

  • Tiny details can mean the difference between life and death
  • A big data fix
  • How it works
  • If it works, keep using it
  • Making crucial repairs easier to find
Share 0 LinkedinEmail
Phillip Tracy

previous post
Verizon executive changes continue with CFO Shammo set to retire
next post
Samsung recalls Note 7 amid fire reports, AT&T preps IoT launch … 5 things to know today

White Papers

  • Norton eBook: The 2026 Telco Playbook

  • Enea White Paper: Why Intelligent AAA is the Swiss Army Knife of Telecom

  • CSG White Paper: Telco AI Enabler: Mediation’s Defining Role

  • Enea White Paper: Scalable Database Design for 5G and Beyond

  • Supermicro and NVIDIA Whitepaper: Powering sovereign AI at scale

Editorial Reports

  • Market Pulse Report: Telco AI in 2026 – Trends, Challenges and Opportunities

  • Nvidia Report: The State of AI in Telecommunications: 2026 Trends

  • Report: Scaling Optical Networks For The Hyperscale And AI Era

Webinars

  • Webinar: Building 6G — aligning technology, policy and purpose

  • SIMCom Webinar: Scaling your next deployment – from plastic to provisioning

  • Webinar: Rethinking the RAN as AI, cloud and openness converge

  • Webinar: Scale-Up, Scale-Out, Scale-Across – Building AI-Era Network Fabrics

  • Webinar: NTN in motion – evolving standards, expanding services

Since 1982, RCR Wireless News has been providing wireless and mobile industry news, insights, and analysis to mobile and wireless industry professionals, decision makers, policy makers, analysts and investors.

Facebook Twitter Youtube Linkedin Envelope Rss

Useful Links

  • Subscribe
  • About RCR Wireless News
  • Contact Us
  • Advertise
  • Editorial Calendar
  • Archive
  • RSS
  • Wireless News Archive
  • Subscribe
  • About RCR Wireless News
  • Contact Us
  • Advertise
  • Editorial Calendar
  • Archive
  • RSS
  • Wireless News Archive

Edtior's Picks

Thursday (telco diary) | Vodafone resets, AT&T reloads
SK Telecom’s A.X K2 is South Korea’s biggest bet yet on sovereign AI
AI-RAN takes shape as Open RAN, Cloud RAN and AI converge

Latest Articles

Thursday (telco diary) | Vodafone resets, AT&T reloads
SK Telecom’s A.X K2 is South Korea’s biggest bet yet on sovereign AI
AI-RAN takes shape as Open RAN, Cloud RAN and AI converge
The Agentic Network — Boost Mobile on the right data for AI

© 2026 RCR Wireless News All Right Reserved. Developed by Eight Hats.

Cookie Policy | Privacy Policy

RCR Wireless
  • News
  • Channels
    • 5G
    • 6G
    • BSS OSS
    • Carriers
    • IoT
    • Network Infrastructure
    • Open RAN
    • Private 5G
    • Telco AI
    • Telco Cloud
    • Test & Measurement
  • Resources
    • Reports
    • Webinars
    • White papers
    • AI Fundamentals
    • Analyst Angle
    • Editorial Calendar
    • Fundamentals
      • 5G NR Release 17
      • AI
        • Telco AI in 2025
    • Podcasts
      • Let’s Get Digital with Carrie Charles
      • Wireless Connectivity to Enable Industry 4.0 for the Middleprise
      • Well Technically…
      • Will 5G Change the World
      • Accelerating Industry 4.0 Digitalization
  • AI Infrastructure
  • Programs
  • Events
  • RCRtv
  • Advertise
  • Subscribe
RCR Wireless
  • News
  • Channels
    • 5G
    • 6G
    • BSS OSS
    • Carriers
    • IoT
    • Network Infrastructure
    • Open RAN
    • Private 5G
    • Telco AI
    • Telco Cloud
    • Test & Measurement
  • Resources
    • Reports
    • Webinars
    • White papers
    • AI Fundamentals
    • Analyst Angle
    • Editorial Calendar
    • Fundamentals
      • 5G NR Release 17
      • AI
        • Telco AI in 2025
    • Podcasts
      • Let’s Get Digital with Carrie Charles
      • Wireless Connectivity to Enable Industry 4.0 for the Middleprise
      • Well Technically…
      • Will 5G Change the World
      • Accelerating Industry 4.0 Digitalization
  • AI Infrastructure
  • Programs
  • Events
  • RCRtv
  • Advertise
  • Subscribe
@2020 - All Right Reserved. Designed and Developed by PenciDesign