NTSB CAROL · Event
Event MIA92IA166
Aircraft involved
Probable cause & findings
FAILURE OF THE AIRCRAFT OPERATOR MAINTENANCE PERSONNEL TO ADEQUATELY LUBRICATE AND SEAL THE MAIN LANDING GEAR BOGIE BEAM SWIVEL JOINT AS REQUIRED BY MANUFACTURER AND OPERATOR MAINTENANCE PROGRAM REQUIREMENTS. THIS ALLOWED MOISTURE TO ENTER THE SWIVEL JOINT AND CAUSE CORROSION DAMAGE WHICH CAUSED STRESS CORROSION CRACKING AND FAILURE OF THE SWIVEL JOINT LUGS. CONTRIBUTING TO THE INCIDENT WAS LACK OF CLEAR INSTRUCTIONS IN THE OPERATORS MAINTENANCE PROGRAM REGARDING LUBRICATION OF THE SWIVEL JOINT.
Factual narrative
AIRCRAFT EXPERIENCED COLLAPSE OF THE LEFT MAIN LANDING GEAR BOGIE WHILE STOPPED AT THE RUNWAY AWAITING TAKEOFF CLEARANCE. POSTINCIDENT EXAMINATION INDICATED THE AFT BOGIE SWIVEL JOINT LUGS HAD FAILED DUE TO STRESS CORROSION CRACKING. THE SWIVEL JOINT DID NOT HAVE PROPER LUBRICATION WHICH KEEPS WATER OUT. THIS ALLOWED FORMATION OF CORROSION ON THE SURFACE OF THE LUGS, AND SUBSEQUENT CRACK INITIATION AT THE CORROSION PITS. OPERATOR MAINTENANCE REQUIREMENTS SPECIFIED THAT THE SWIVEL JOINT BE LUBRICATED EVERY WEEKEND CHECK AND EVERY 'A' CHECK. THE WORK CARDS FOR THESE TWO INSPECTIONS CALLED OUT IN NARRATIVE FORM THE LUBRICATING OF THE BOGIE PIVOT JOINT. THE CARDS CALLED FOR THE SWIVEL JOINT TO BE LUBRICATED BY REFERENCE TO A NUMBER ON AN ILLUSTRATION. THE FAILURE OF THE SWIVEL JOINT LUGS WAS THE SUBJECT OF DOUGLAS AIRCRAFT ALL OPERATOR LETTERS IN 1976 AND 1990. THESE LETTERS STRESSED TO OPERATORS THE IMPORTANCE OF LUBRICATING THE SWIVEL JOINT TO PREVENT CORROSION FORMATION. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1992_MIA92IA166.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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