NTSB CAROL · Event
Event MIA96LA010
Aircraft involved
Probable cause & findings
LOSS OF ENGINE POWER DUE TO INADEQUATE MAINTENANCE DURING THE 100-HOUR ANNUAL. CONTRIBUTING TO THE ACCIDENT WAS THE LACK OF SUITABLE TERRAIN FOR THE FORCED LANDING.
Factual narrative
On October 18, 1995, about 1430 central daylight time, an Aero Commander AC-112, N1455J, registered to a private owner, collided with a tree during takeoff at the Madison County Executive Airport,Huntsville, Alabama. Visual meteorological conditions prevailed at the time and no flight plan was filed for the 14 CFR part 91 instructional flight. The pilot-in-command and passenger were not injured and the airplane was substantially damaged. The flight originated at the Madison County Executive Airport. The pilot stated that after liftoff the engine began to run rough and lose power. The pilot executed a forced landing to a field and the airplane struck a tree on landing. An inspection performed by the FAA found that the #3 nozzle from the fuel injector line was partially blocked. The most recent 100-hour-annual inspection was recorded as performed on June 9, 1995. Time since the annual inspection was 30 hours. The pilot stated that after lift-off the engine began to run rough and lose power. He executed a forced landing to a field and the airplane struck a tree. Postaccident examination revealed a partially blocked fuel injection line. The 100-hour annual inspection was performed on 6/9/95. Time since the annual was 30 hours. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1995_MIA96LA010.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (maintenance). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- Embry-Riddle Scholarly Commons 2026 · Journal article (IJAAA)
From Reactive to Predictive: A hybrid Trust-Mediated Adoption Framework for Data-Driven Maintenance in Distributed-Authority Aviation Environments
Modern aviation maintenance operates within increasingly data-intensive technological environments, yet the operational integration of predictive maintenance into routine decision-making remains incon…
- Semantic Scholar 2025 · Article (Applied Sciences)
Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies
The implementation of predictive maintenance (PM) in aviation presents unique challenges due to strict safety requirements, complex operational environments, and regulatory constraints.
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER)
Low-Resource Automatic Speech Recognition Domain Adaptation – A Case-Study in Aviation Maintenance
With timeliness and efficiency being critical in the aviation maintenance industry, the need has been growing for smart technological solutions that optimize and streamline the different underlying ta…
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER)
A New Trajectory in UAV Safety: Leveraging Reinforcement Learning for Distance Maintenance Under Wind Variations
In the field of aviation, safety is a critical cornerstone, and the operation of Unmanned Aerial Vehicle (UAV) systems is deeply connected with this principle.
- Embry-Riddle Scholarly Commons 2024 · Journal article (IJAAA)
Just Culture in Aviation: A Metaphorical Study on Aircraft Maintenance Students
Just Culture, a sub-dimension of safety culture, has been a prominent and debated topic in aviation safety in recent years.
- Embry-Riddle Scholarly Commons 2024 · Journal article (IJAAA)
Performance PRISM: A Comprehensive Framework For Performance Measurement In Aircraft Maintenance
Aircraft maintenance is governed by rigorous safety requirements and high operational complexity, demanding robust performance measurement frameworks to ensure optimal maintenance practices.
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