Automated Inspection Enters a New Phase in Aero-Engine Maintenance
The collaboration between Waygate Technologies, a Baker Hughes company, and GE Aerospace marks a significant shift in how modern aero-engine maintenance is performed. Their latest deployment of Menu Directed Inspection (MDI) templates for GEnx-1B and GEnx-2B engines introduces a higher level of automation, standardization, and digital intelligence into borescope inspection workflows.
From an industrial automation perspective, this is not just a tooling upgrade—it represents a structural change in how inspection decisions are guided, captured, and validated in real time.
AI-Guided Borescope Inspection and Standardized Workflows
The newly developed MDI templates are integrated into the Mentor Visual iQ+ video borescope system, delivering AI-assisted visual guidance directly to inspection operators. Instead of relying solely on technician experience, the system overlays recommended viewpoints, reference images, and inspection paths aligned with OEM maintenance manuals.
This structured approach ensures consistent imaging of critical components such as High-Pressure Turbine (HPT) S1 and S2 blades. In practice, this reduces variability between operators, improves defect detection reliability, and minimizes re-inspection cycles caused by incomplete or inconsistent captures.
Data Integrity, Traceability, and Connected Maintenance Ecosystem
One of the most impactful improvements lies in data handling and traceability. Every captured image and video is automatically labeled, indexed, and stored, creating a structured digital inspection record.
Through integration with InspectionWorks Insight cloud platform, inspection data becomes instantly shareable across maintenance, repair, and overhaul (MRO) teams. This enables fleet-wide visibility and supports predictive maintenance strategies by making historical inspection trends more accessible and analyzable.
From a systems engineering perspective, this closes a long-standing gap between field inspection and enterprise-level analytics.
Workforce Enablement and Reduced Operator Dependency
A key advantage of the MDI template system is its role in workforce transformation. By embedding visual guidance and step-by-step workflows, the system significantly lowers the learning curve for new technicians entering the aerospace MRO sector.
Rather than replacing human expertise, the solution amplifies it—allowing less experienced operators to perform at a more consistent, standards-compliant level while freeing senior inspectors to focus on complex diagnostic decisions.
This shift is particularly important in today’s labor-constrained industrial environment.
Joint Technology Development Driving Industrial Automation
The advancements are the result of an ongoing Joint Technology Development Agreement (JTDA) between GE Aerospace and Waygate Technologies, initiated in 2023. This collaboration merges deep aerospace engineering expertise with advanced nondestructive testing (NDT) technologies and AI-driven imaging systems.
The continued evolution of this partnership signals a broader trend in industrial automation: domain-specific AI systems embedded directly into field tools rather than isolated analytics platforms.
Engineering Perspective: Why This Matters Beyond Aviation
From my perspective as an automation engineer, the real breakthrough here is not simply improved imaging—it is the codification of expert decision-making into repeatable digital workflows.
What we are witnessing is the transition from “inspection as a skill” to “inspection as a system.” This reduces operational risk, improves scalability across global fleets, and lays the foundation for semi-autonomous maintenance ecosystems in the future.
In the long term, such systems will likely integrate real-time defect recognition, closed-loop maintenance scheduling, and fully AI-assisted decision support for MRO operations.
The Future of Automated Engine Maintenance
The deployment of automated MDI templates for GEnx engines represents a foundational step toward fully digitalized aircraft maintenance. As AI guidance, cloud connectivity, and standardized inspection logic continue to evolve, the industry is moving closer to predictive and eventually prescriptive maintenance models.
This is not just about faster inspections—it is about redefining how reliability is engineered into every flight cycle.
