SciTransfer
Organization

MEGGITT SA

Swiss aerospace sensing specialist delivering structural health monitoring, prognostics, and landing gear sensing for aviation MRO programmes.

Large industrial companytransportCHNo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
Unique partners
15
What they do

Their core work

Meggitt SA, operating under the Vibro-Meter brand (vibro-meter.com), is a Swiss aerospace sensing and monitoring company that develops onboard sensor systems and health monitoring solutions for aircraft and aviation maintenance programmes. Their H2020 work centres on structural health monitoring, prognostics, and maintenance optimisation — contributing the kind of embedded sensing hardware and data systems that allow airlines and MRO operators to predict component failures before they occur. They participated in two Clean Sky 2 projects, Europe's flagship aerospace R&D programme, covering both end-to-end airline maintenance architecture and specialised landing gear condition monitoring. As part of the wider Meggitt group, they bring production-grade aerospace sensor technology rather than early-stage research capability.

Core expertise

What they specialise in

Aircraft structural health monitoring (SHM)primary
2 projects

Both AIRMES and ALGeSMo address onboard health monitoring — AIRMES explicitly lists systems health monitoring and prognostics in its keywords, while ALGeSMo focuses specifically on sensing and monitoring of landing gear.

Prognostics and predictive maintenanceprimary
1 project

AIRMES (2015–2019) targets a full end-to-end maintenance service architecture with explicit keywords covering prognostics, maintenance planning, and performance optimisation in real operational environments.

Landing gear sensing systemssecondary
1 project

ALGeSMo (Advanced Landing Gear Sensing and Monitoring, 2016–2020) positions the company as a specialist contributor for a targeted, safety-critical component-level sensing application.

Mobile maintenance tools and digital MRO workflowssecondary
1 project

AIRMES keywords include mobile tools alongside maintenance planning and performance optimisation, indicating involvement in the field-operations and software layer of airline MRO.

Evolution & trajectory

How they've shifted over time

Early focus
End-to-end maintenance and health monitoring
Recent focus
Landing gear sensing

Both projects started within a year of each other (2015–2016), so there is no meaningful keyword shift to analyse — all documented keywords belong to the early participation window, and the second-half period contains no recorded keywords. Across both projects, the thematic focus is consistent: embedded sensing, health monitoring, prognostics, and maintenance optimisation for aviation. The absence of later H2020 activity suggests that Meggitt SA's EU-funded R&D is selective and targeted rather than sustained across multiple funding cycles.

Both projects sit squarely within Clean Sky 2 aerospace, indicating that Meggitt SA's EU research engagement is narrowly focused on aviation sensing — future collaborations are most plausible in MRO digitalisation, PHM (Prognostics and Health Management), and next-generation aircraft systems monitoring.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European5 countries collaborated

Meggitt SA participates exclusively as a consortium partner and has never acted as project coordinator in H2020 — a pattern typical of industrial companies that contribute proven technology to research programmes rather than driving the research agenda. With 15 unique partners across 5 countries in just 2 projects, their consortium footprint is relatively broad, reflecting the large multi-partner structures characteristic of Clean Sky 2 Joint Technology Initiatives. This indicates they are comfortable operating within complex industrial consortia and delivering a well-defined technical module alongside system integrators and OEMs.

Meggitt SA has collaborated with 15 unique partners across 5 countries, entirely within the Clean Sky 2 ecosystem. Their network is aviation-industry concentrated rather than geographically broad, consistent with the sectoral focus of the JTI programme.

Why partner with them

What sets them apart

Meggitt SA brings production-ready aerospace sensor hardware and health-monitoring systems to EU research consortia — a combination of industrial scale and sensing specialisation that is relatively rare within the Swiss aerospace supply chain. Their simultaneous involvement in both end-to-end maintenance architecture (AIRMES) and component-level landing gear sensing (ALGeSMo) demonstrates breadth across the MRO technology stack, from system-level integration to specific subsystem hardware. For consortium builders, they represent a credible industrial partner with deployable products rather than prototype-stage research output.

Notable projects

Highlights from their portfolio

  • AIRMES
    A Clean Sky 2 RIA project targeting full end-to-end airline maintenance service architecture — one of the more ambitious MRO digitalisation efforts in H2020 — where Meggitt contributed systems health monitoring and prognostics capability across real operational environments.
  • ALGeSMo
    A dedicated Clean Sky 2 Innovative Action focused entirely on advanced landing gear sensing and monitoring, reflecting Meggitt SA's specific hardware competence in a safety-critical aircraft subsystem.
Cross-sector capabilities
Industrial condition monitoring (vibration and speed sensing transferable from aviation to manufacturing machinery)Digital maintenance systems for complex asset-intensive operationsSensor integration in safety-critical embedded systems
Analysis note: Only 2 projects with no EC funding figures available; both within the Clean Sky 2 Joint Technology Initiative. The company's Vibro-Meter brand identity is referenced from the website URL included in the source data. All expertise claims are grounded in project titles and keywords. Cross-sector capabilities beyond aviation are technically plausible given sensing transferability but are not directly evidenced in H2020 data.