NTSB CAROL · Event
Event FTW02LA197
Registry · N144WT
FAA Aircraft Registry record.
Make / Model
ROBINSON HELICOPTER R44
TCDS
H11NM · ROBINSON HELICOPTER CO
Engine
LYCOMING 0-540 SERIES (250 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
19990429
ADS-B equipped
Yes — Mode-S A0B392
Registrant of record
PERFORMANCEZ LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's loss of control after encountering dynamic rollover during takeoff. A contributing factor was the pilot's inadequate preflight inspection.
Factual narrative
On June 28, 2002, at 1015 central daylight time, a Robinson R44 helicopter, N144WT, was substantially damaged during takeoff from the West Houston Airport near Houston, Texas. The helicopter was registered to Wilkinson Rental Tools, Inc., of Lafayette, Louisiana, and operated by the pilot. The private pilot, sole occupant of the helicopter, was not injured. Visual meteorological conditions prevailed, and a flight plan was not filed for the 14 Code of Federal Regulations Part 91 personal flight. The flight was originating at the time of the accident, and was destined for Mandeville, Louisiana. The pilot reported to an FAA inspector that while attempting to takeoff, he "lifted" the helicopter vertically to a 4-5 foot hover and proceeded to make a 10 degree left pedal turn to a northerly direction. The pilot applied forward pressure on the cyclic to initiate forward flight and in a "matter of 10 to 15 feet, the rear portion of the left skid went down abruptly." The pilot immediately added forward right cyclic to compensate for this action. The helicopter started to level at an altitude of approximately 2-3 feet when it settled "hard" on the front portion of the left skid. The helicopter came to rest upright on its landing skids. According to a witness, he observed the helicopter lift off, make a bank to the left then sharper to its right, and then very sharply to its left. Then it made a 180-degree turn descending sharply and steeply into the ground. A second witness, observed a chain attached to the left skid when the helicopter lifted off. About 3-4 feet off the ground, the helicopter movement was subdued by the chain and began to "sway" violently one direction and then another. The tail boom and left strut hit the ground, but the pilot was able to land the helicopter and shut it down. According to the FAA inspector, who responded to the accident site, a broken tie down chain was found that had been attached to the aft portion of the helicopter skid. According to the pilot, he had not placed the tie down there. An examination of the helicopter revealed that the lower portion of the vertical stabilizer was wrinkled with a tear in the leading edge. The left side of the fuselage had damage in the vicinity of the forward skid cross tube. The main rotor mast fairing was buckled directly above the cabin. The 7,800-hour pilot reported that he had accumulated a total of 721 hours in helicopters, all of them in the same make and model as the accident aircraft. The pilot "lifted" the helicopter vertically to a 4-5 foot hover and proceeded to make a 10 degree left pedal turn. The pilot applied forward pressure on the cyclic to initiate forward flight and in a "matter of 10'-15', the rear portion of the left skid went down abruptly." The pilot immediately added forward right cyclic to compensate for this action. The helicopter started to level at an altitude of approximately 2-3 feet when it settled "hard" on the front portion of the left skid. The helicopter came to rest upright on its landing skids. A broken tie down chain was found that had been attached to the aft portion of the helicopter skid. The pilot reported that he did not attach the tie down chain to the helicopter. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2002_FTW02LA197.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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