CHI05LA097
2005-04-13 · Clear Lake, Minnesota, United States · None · 1 aircraft · Status: Completed
Airport 8Y6
Aircraft involved
Probable cause & findings
The collapse of the nose landing gear as a result of the pilot performing improper maintenance on the airplane due to his failure to properly safety the nose landing gear door.
Factual narrative
On April 13, 2005, about 0900 central daylight time, a Cessna 310, N3622D, piloted by an airline transport pilot, sustained substantial damage during landing on runway 18 (3,000 feet by 150 feet, asphalt), at the Leaders/Clear Lake Airport, Clear Lake, Minnesota. The 14 CFR Part 91 personal flight was operating in visual meteorological conditions without a flight plan. The pilot was not injured. The flight originated from the St. Cloud Regional Airport, St. Cloud, Minnesota, at 0845. According to a Federal Aviation Administration Inspector that responded to the accident, the pilot had removed a cotter pin from the nose landing gear door link prior to the flight so that he could gain access to the nose landing gear compartment. The cotter pin was not replaced. During the flight, the nose gear failed to retract and subsequently, the nose landing gear collapsed during the landing and the airplane nosed over. Review of the airplane maintenance records showed that the most recent annual inspection was performed on March 9, 2004, 13 months prior to the accident. No special flight authorization had been granted for the accident flight. The airplane was damaged when the nose landing gear collapsed during landing and the airplane nosed over. Investigation revealed that a cotter pin on the nose landing gear door had been removed by the pilot and was not replaced. During the flight, the nose landing gear failed to retract and subsequently collapsed during the landing. The airplane's most recent annual inspection had been performed 13 months prior to the accident and no special flight authorization had been granted. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2005_CHI05LA097.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…