NTSB CAROL · Event
Event CHI08LA052
Aircraft involved
Probable cause & findings
The pilot's failure to maintain control of the gyroplane during climbout after takeoff.
Factual narrative
On December 14, 2007, at 1426 eastern standard time, an amateur-built Levick RAF-2000-GTX-SE gyroplane, N24DN, piloted by a private pilot, was destroyed when it impacted terrain following an in-flight loss of control after takeoff from Salem Municipal Airport (I83), Salem, Indiana. The aircraft had departed from runway 28 (2,500 feet by 50 feet, asphalt) shortly before the accident. The personal flight was being conducted under 14 CFR Part 91 without a flight plan. Visual meteorological conditions prevailed. The pilot sustained serious injuries. The local flight was departing at the time of the accident. The pilot stated that he did not have any recollection of the flight or of the accident sequence. A witness to the accident reported that the pilot taxied onto runway 28 and began the takeoff roll. He stated that the gyroplane rotated at about the runway numbers. Approximately 20 feet above ground level (agl), the gyroplane drifted to the right and the tail turned "abruptly" to the right about 90-degrees. The pilot reduced power and regained control. The gyroplane returned to the runway centerline and the pilot appeared to be setting up for a landing. However, when the aircraft was about 5 feet above the runway, the pilot increased engine power and started to climb. About 75 to 100 feet agl, the tail of the aircraft again turned "abruptly" to the right, the nose pitched up "steeply," and the aircraft rolled inverted. It subsequently impacted the ground on the rotor mast. A post accident examination of the gyroplane was conducted by Federal Aviation Administration inspectors. No anomalies consistent with a pre-impact failure or malfunction were identified. All three composite propeller blades were fragmented. The rotor blades, hub and a portion of the mast had separated from the airframe and were located with the main wreckage. The rudder had also separated from the airframe and was located with the main wreckage. The flight control system was examined. Discontinuities in the flight control system appeared consistent with overload failures sustained during impact. The pilot reported that he had owned the accident aircraft for 2-1/2 years, but he was still just learning to fly a gyroplane. He soloed the previous summer and had accumulated about 5 hours of solo flight time. He had about 20 hours total flight time in gyroplanes. The pilot held a private pilot certificate with a single-engine land airplane rating. He had acquired about 280 hours flight time in airplanes. A condition inspection of the gyroplane was completed on May 26, 2007. The aircraft had accumulated 227.5 hours flight time at the time of the inspection. A witness reported that after takeoff, when approximately 20 feet above ground level (agl), the gyroplane drifted to the right and the tail turned "abruptly" to the right about 90-degrees. The pilot reduced power and regained control. The gyroplane returned to the runway centerline and the pilot appeared to be setting up for a landing. However, when the gyroplane was about 5 feet above the runway, the pilot increased engine power and started to climb. About 75 to 100 feet agl, the tail of the gyroplane again turned "abruptly" to the right, the nose pitched up "steeply," and the aircraft rolled inverted. It subsequently impacted the ground on the rotor mast. A post accident examination did not reveal any anomalies consistent with a pre-impact failure or malfunction. The pilot did not have any recollection of the accident flight. He reported that he had owned the accident gyroplane for 2-1/2 years, but he was still just learning. He soloed the previous summer and had accumulated about 5 hours of solo flight time. He had about 20 hours total flight time in gyroplanes. The pilot held a private pilot certificate with a single-engine land airplane rating, with about 280 hours flight time in airplanes. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2007_CHI08LA052.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 (loss of control). 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 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.
- 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.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
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