NTSB CAROL · Event
Event CEN25LA389
Registry · N831VA
FAA Aircraft Registry record.
Make / Model
ROBINSON HELICOPTER R44
Year of manufacture
2013 · 12 years old at event
TCDS
H11NM · ROBINSON HELICOPTER CO
Engine
LYCOMING IO-540-AE1A5 (260 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
20190716
ADS-B equipped
Yes — Mode-S AB5DED
Registrant of record
TRAVEL SYSTEMS LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s loss of control during an off-airport, pinnacle landing, and the flight instructor’s inadequate supervision of the instructional flight.
Factual narrative
The flight instructor reported the instructional flight initially proceeded without incident. The plan was for the pilot-receiving-instruction to work on off-airport, pinnacle landings. The pilot’s first steep approach was completed with no issues. They moved about one-half mile to the west, and the pilot initiated an approach to an elevated dirt road. The road had a hump in the middle, and the pilot intentionally remained light on the skids to ensure a stable set down. However, as the nose of the helicopter began to rise due to the hump in the road, the tail rotor blades contacted the ground. The pilot subsequently lost control of the helicopter. The helicopter came to rest on a descending embankment from the road. The forward portion of the left landing skid, the tail skid, and the aft portion of the tail boom separated. One tail rotor blade was separated near mid-span and located at the accident site. Damage to the outboard leading edge of one main rotor blade appeared consistent with contact to the tail boom. The flight instructor stated there were no failures or malfunctions associated with the helicopter before the accident. He also noted that becoming more familiar with the helicopter before moving to complex maneuvers such as an off-airport, pinnacle landing might have resulted in a different outcome. 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-Student/instructed pilot
- — Personnel issues-Action/decision-Info processing/decision-Decision making/judgment-Instructor/check pilot
Verbatim from NTSB's published report. Source file
NTSB_2025_CEN25LA389.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 ↗