Expert Introduces Lightweight AI-based System For Early Aviation Failure Detection

An aviation expert, Ndubuisi Chibuogwu, has introduced a lightweight AI-based system for early aviation failure detection.

Chibuogwu who is a safety inspector, regulatory compliance expert, and data analytics professional revealed that the system gives smaller and general aviation operators the capability to anticipate or detect failures in aviation operation before they happen.

Speaking with newsmen on the unveiling of his white paper/research finding on the system, he said the innovation aims to introduce predictive maintenance into the aviation industry, enhancing safety, reducing operational costs, and improving aircraft availability in underserved regions.

“I am actively developing a pioneering predictive maintenance system for general aviation, which integrates lightweight AI models with aviation regulatory frameworks to anticipate component failures.
“This innovation aims to introduce predictive maintenance into the aviation industry, enhancing safety, reducing operational costs, and improving aircraft availability in underserved regions.

“I recently embarked on a project that led to this white paper. The project was driven by a concern that, while large commercial operators use AI and predictive systems to catch issues early, smaller operators, especially in general aviation—don’t have access to such tools.

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“The white paper introduces a system that gives them that capability. It’s about anticipating failures before they happen, using lightweight AI, cost-effective sensors, and structured data—without needing the kind of infrastructure large carriers depend on. This system helps general aviation operators detect potential faults early.

“We are talking about small aircraft fleets that often operate with minimal backup and high exposure to risk. Also, with this system, maintenance decisions are based on live data and learned behavior—not just calendars or guesswork.

“Furthermore, it ensures they comply with regulations, avoid costly surprises, and improve safety margins, even in challenging operating conditions,” he said.

He further pointed out that the system was designed in the United States where it will be tested using aircraft platforms typical of general aviation globally including models similar to those flown by small operators in other regions.

According to Chibuogwu, his knowledge stood him in authoritative stead to come with this system, reiterating that this was as a result of his over a decade of experience in airworthiness inspection, aircraft maintenance, and aviation safety systems, including his service as an Airworthiness Safety Inspector and technical audits in alignment with ICAO global safety standards

He added that he is currently on STEM OPT in the United States, and works at Revcord, a U.S.-based software company, where he serves as Customer Support Service Manager, including contributing to system monitoring, predictive diagnostics, and customer service automation using AI-based tools.

The aviation expert also spoke on the recent Indian plane crash that killed over 240 people, noting that the Boeing 787, known for its reliability, appeared to suffer from a configuration issue, possibly linked to landing gear deployment and a subsequent loss of lift.

“The Indian crash was probably due to engine and hydraulic failure. Also the deployment of Ram air turbine (RAT) confirms the failure and we also see the landing still extended beyond the allowable height after takeoff – all these contributed to the aircraft loss of lift and unfortunate crash.