ERA19LA031
2018-10-28 · Elba, Alabama, United States · None · 1 aircraft · Status: Completed
Airport 14J
N20BK has since been reassigned. It is now registered to a different aircraft (CIRRUS DESIGN SR20), which was not involved in this event.
Aircraft involved
Probable cause & findings
A leak in the pitot-static system for reasons that could not be determined based on the available information, which resulted in an airspeed indication error, an aborted takeoff, and a subsequent runway overrun.
Factual narrative
On October 28, 2018, about 1500 central daylight time, a Cessna 182Q, N20BK, sustained substantial damage when it was involved in an accident near Elba, Alabama. The flight instructor, the commercial pilot receiving instruction, and a passenger were not injured. The airplane was operated as a Title 14 Code of Federal Regulations Part 91 instructional flight. According to the flight instructor, all three occupants boarded the airplane for departure after a preflight inspection. An engine run-up revealed no anomalies. When the airplane neared the midpoint of the 3,050-ft-long runway, he noticed that the airspeed was 50 knots and was not increasing. He immediately reduced engine power to idle, aborted the takeoff, and applied the brakes. The airplane overran the runway and collided with a berm about 1,000 ft past the runway end. Examination of the airplane by a Federal Aviation Administration (FAA) inspector revealed that the nose landing gear broke away from the strut and that the engine firewall was buckled. The airplane’s maintenance logs were not made available for review. A postaccident test of the pitot static system revealed a leak within the system; the airspeed indicator read 40 knots when tested at 70 knots, and 60 knots when tested at 100 knots. During the takeoff roll on an instructional flight, the instructor noticed that the airspeed was not increasing above 50 knots. He aborted the takeoff, during which the airplane overran the runway end and collided with a berm, resulting in substantial damage. The airplane was recovered for examination and a pitot-static system test revealed significant errors in airspeed indication due to a leak in the system. The airplane’s maintenance logs were not provided for review, and the maintenance history of the pitot-static system could not be determined. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Aircraft-Aircraft systems-(general)-(general)-Malfunction
- — Environmental issues-Physical environment-Terrain-(general)-Contributed to outcome
Verbatim from NTSB's published report. Source file
NTSB_2018_ERA19LA031.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
Matched on aircraft type or causal vocabulary (maintenance). All research papers
- 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 2026 · Article (Reliability Engineering & System Safety) Understanding human error in military aviation maintenance: The role of Performance shaping factors, cognitive workload and error orientation
- 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.
- Semantic Scholar 2024 · Article (Defence Science Journal) Modelling of Human Factors in Aviation Maintenance Using HFACS ME Human Factors Analysis and Classification System Maintenance Extension and Bayesian Network
Aircraft maintenance is a complex task involving a skilled human workforce, spare parts, and various other resources. Human factors are an inherent element of the human workforce.
- 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 (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…