ANC93LA090
1993-06-12 · KIVALINA, Alaska, United States · None · 1 aircraft · Status: Completed
Airport KVL
N222JA has since been reassigned. It is now registered to a different aircraft (ROBINSON HELICOPTER R22 BETA, built 2000), which was not involved in this event.
Aircraft involved
Probable cause & findings
THE FAILURE OF THE PIVOT LINK FOR THE DOWNLOCK MECHANISM AND THE IMPROPER RIGGING OF THE LANDING GEAR LOCKING MECHANISM BY COMPANY MAINTENANCE PERSONNEL.
Factual narrative
On June 12, 1993, at 1410 Alaska daylight time, a retractable gear, wheel equipped Cessna 402 airplane, N222JA, registered to and operated by Alaska Island Air of Anchorage, Alaska, experienced a right main gear collapse during the landing roll at Kivalina, Alaska. The air taxi flight, operating under 14 CFR Part 135, departed Kotzebue and the destination was Kivalina. A company flight plan was in effect and visual meteorological conditions prevailed. The Airline Transport Certificated Pilot- in-Command, the sole occupant, was not injured and the airplane received substantial damage. According to the Pilot-in-Command, the landing was normal and during the rollout when the airplane slowed to 40 knots, the right wing settled to the runway. Examination of the airplane showed that the pivot link, which is the link between the push pull tubes and the over center link assembly, had failed. According to the Certificate Repair Station employed to repair the airplane, the landing gear system was out of rig. The Company stated they submitted an NTSB Form 6120.1/2 to the FAA FSDO Office in Fairbanks. The FSDO Office has no record of having received this form. DURING THE LANDING ROLL THE PILOT STATED THE RIGHT WING SETTLED TO THE RUNWAY. EXAMINATION OF THE AIRPLANE SHOWED THAT THE PIVOT LINK BETWEEN THE PUSH PULL TUBES AND THE OVER CENTER LINK ASSEMBLY FAILED. ACCORDING TO THE REPAIR STATION EMPLOYED TO REPAIR THE AIRPLANE, THEY CHECKED THE LANDING GEAR SYSTEM RIGGING AND FOUND IT TO BE OUT OF TOLERANCE. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1993_ANC93LA090.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…