DFW07CA050
2006-12-30 · Mineral Wells, Texas, United States · None · 1 aircraft · Status: Completed
Airport KMWL
Current FAA registration · N9655F
- Make / Model
- HUGHES 269C
- Seats / Engines
- 3 seats · 1 engine
- ADS-B equipped
- Yes — Mode-S AD71C6
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The loss of control as result of loss of tail rotor effectiveness.
Factual narrative
The 22-hour helicopter student pilot lost control of the single-engine helicopter while performing a hovering maneuver during a solo training flight. The pilot added that while hovering at a skid height of 10-feet above the ground, the helicopter encountered a phenomena known as loss of tail rotor effectiveness (LTE). The helicopter entered an uncontrolled hard spin to the right. The pilot responded by lowering the collective and the helicopter landed hard. The helicopter sustained structural damage to the right strut, the tail rotor drive shafts, and the right horizontal stabilizer. The pilot egressed from the helicopter normally and sustained no injuries. The winds at the time of the mishap were reported from 210 degrees at 6 knots. The 22-hour helicopter student pilot lost control of the single-engine helicopter while performing a hovering maneuver during a solo training flight. The pilot added that while hovering at a skid height of 10-feet above the ground, the helicopter encountered a phenomena known as loss of tail rotor effectiveness (LTE). The helicopter entered an uncontrolled hard spin to the right. The pilot responded by lowering the collective and the helicopter landed hard. The helicopter sustained structural damage to the right strut, the tail rotor drive shafts, and the right horizontal stabilizer. The pilot egressed from the helicopter normally and sustained no injuries. The winds at the time of the mishap were reported from 210 degrees at 6 knots. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2006_DFW07CA050.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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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 (loss of control). All research papers
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER) A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- Semantic Scholar 2024 · Article (International Conference on Networking and Services) Risk Assessment of Loss of Control In-Flight Trajectories for Urban Air Mobility Safety
In Urban Air Mobility (UAM), maintaining a minimum separation between aircraft is a safety requirement, which becomes challenging amidst congested air traffic and off-nominal conditions, such as Loss …
- NTSB Aircraft Accident Reports 2022 · Accident report Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation) ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.