MIA98LA148
1998-04-25 · ORLANDO, Florida, United States · None · 1 aircraft · Status: Completed
Airport ORL
Aircraft involved
Probable cause & findings
failure of the flight crew to maintain main rotor RPM during a landing touchdown, which resulted in the main rotor blades contacting the tailboom.
Factual narrative
On April 25, 1998, about 1530 eastern daylight time, a Bell 206L-1, N60WJ, registered to Universal Air Service of Florida, Inc., was found to have damage from main rotor contact with the tail boom at Orlando Executive Airport, Orlando, Florida, following a Title 14 CFR Part 91 instructional flight. Visual meteorological conditions prevailed at the time and no flight plan was filed. The helicopter received substantial damage and the commercial-rated flight instructor and private-rated dual student were not injured. The flight originated from Orlando, Florida, the same day, about 1355. The instructor and dual student stated the flight was conducted as an instructional flight as part of a Bell Helicopter school. They departed Orlando Executive Airport about 1355, and stayed on the airport for the entire flight. During the first part of the flight, they performed touchdown autorotations. After completing the flight at about 1530, they were completing paperwork when maintenance personnel informed them about damage to the tailboom of the helicopter from a main rotor strike. They stated that at no time during the flight did they feel the main rotor contact the tailboom, and they did not feel any unusual vibrations during the flight. The flight instructor (CFI) and student pilot flew for 1 hour 35 minutes in the airport area. During the flight, they performed training maneuvers, touchdown autorotations, hovering autorotations, and simulated tail rotor malfunctions. After returning to the ramp after the flight, company maintenance personnel found damage consistent with the main rotor blades contacting the tailboom. The CFI and student stated they did not know when the damage occurred and that they did not feel any vibration to suggest damage during the flight. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1998_MIA98LA148.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…