NTSB CAROL · Event
Event ERA24LA242
Registry · N8045H
FAA Aircraft Registry record.
Make / Model
HUGHES TH-55
TCDS
4H12 · SCHWEIZER RSG LLC
Seats / Engines
2 seats · 1 engine
ADS-B equipped
Yes — Mode-S AAF3C8
Registrant of record
A AND J AVIATION SERVICES LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s inadequate compensation for the prevailing wind conditions, which resulted in a loss of control during landing.
Factual narrative
The student pilot was working on adding a helicopter rating to his existing private pilot certificate and was on a solo flight to practice some landing approaches at a nearby airport. After completing the practice approaches and refueling the helicopter, the pilot flew back to his property. The pilot reported that when he entered a hover to land, the helicopter started to turn to the right “very fast.” The pilot applied full force to the left anti-torque pedal, but the helicopter continued to turn to the right. The helicopter then impacted trees and terrain. A postimpact fire consumed most of the helicopter. The weather reported at an airport about 17 nautical miles from the accident site included wind at 7 knots, with gusts to 22 knots. The pilot’s solo endorsement limited him to flights in wind conditions less than 13 knots. Following the accident, the pilot reported that he did not believe that there had been a mechanical malfunction or failure that would have prevented normal operation of the helicopter and that a wind gust had “caught” him, which resulted in the loss of control. The wreckage was examined by a Federal Aviation Administration inspector at the accident site. While the examination was limited given the extent of the fire damage, the inspector did not observe any anomalies with the helicopter’s anti-torque system that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot
- — Environmental issues-Conditions/weather/phenomena-Wind-Gusts-Response/compensation
Verbatim from NTSB's published report. Source file
NTSB_2024_ERA24LA242.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.
Browse the full corpus — academia portal ↗