ERA10CA468
2010-08-25 · Frederick, Maryland, United States · None · 1 aircraft · Status: Completed
Airport FDK
Current FAA registration · N387AF
- Make / Model
- CESSNA 172S
- Year of manufacture
- 2006 · 4 years old at event
- Engine
- LYCOMING IO-360-L2A (180 hp)
- Seats / Engines
- 4 seats · 1 engine
- Last airworthiness date
- 20061219
- ADS-B equipped
- Yes — Mode-S A47551
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
Undetermined.
Factual narrative
During a Phase III inspection of the airplane, the Director of Maintenance for the operator noticed the firewall was damaged. The damage was reported to the nearest Federal Aviation Administration (FAA) Flight Standards District Office, and verified by the FAA. The damage occurred between the Phase II and Phase III inspection. The airplane had flown 48.2 hours since the Phase II inspection. According to the FAA, the damage was a result of a hard landing. The purpose of the flight and composition of the flight crew was not determined. In addition, the date, actual location, and time of the accident were not determined. During a Phase III inspection of the airplane, the Director of Maintenance for the operator noticed that the airplane's firewall was damaged. The damage was reported to the nearest Federal Aviation Administration (FAA) Flight Standards District Office, and verified by the FAA. The damage occurred between the Phase II and Phase III inspection. The airplane had flown 48.2 hours since the Phase II inspection. According to the FAA, the damage was a result of a hard landing. The purpose of the flight and composition of the flight crew was not determined. In addition, the date, actual location, and time of the accident were not determined. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Personnel issues-Action/decision-Action-Incorrect action performance-Not specified - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Landing flare-Incorrect use/operation - C
Verbatim from NTSB's published report. Source file
NTSB_2010_ERA10CA468.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
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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…