FTW04CA098
2004-03-27 · Slidell, Louisiana, United States · None · 1 aircraft · Status: Completed
Airport ASD
Current FAA registration · N8755K
- Make / Model
- STINSON 108-1
- Year of manufacture
- 1947 · 57 years old at event
- Engine
- FRANKLIN 6A4150 SERIES (150 hp)
- Seats / Engines
- 4 seats · 1 engine
- Last airworthiness date
- 19560618
- ADS-B equipped
- Yes — Mode-S AC0BFA
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
the pilot's failure to compensate for the gusty wind conditions and maintain control of the airplane while landing.
Factual narrative
On March 27, 2004, at 0940 central standard time, a Stinson 108-1 tail-wheel equipped airplane, N8755K, sustained substantial damage following a loss of control while landing at the Slidell Airport (ASD), near Slidell, Louisiana. The private pilot and his passenger were not injured. The single-engine airplane was registered to and operated by the pilot. Visual meteorological conditions prevailed, and a flight plan was not filed for the 14 Code of Federal Regulations Part 91 personal flight. The flight departed the Paul Pittman Memorial Airport, near Tylertown, Mississippi, approximately 0900, and was destined for ASD. According to an FAA inspector, who was located at the airport at the time of the accident, the airplane touched down on runway 18. Runway 18 is a 4,058 foot long and 100 foot wide asphalt runway. The pilot encountered a left crosswind, subsequently, the airplane ground looped, and flipped over. Examination of the airplane by the inspector revealed the wing spar had fractured. The inspector reported the wind was gusty at the time of the accident. At 0953, the ASD automated surface observing system reported the wind from 140 degrees at 10 knots. During the landing, the pilot encountered a left crosswind. Subsequently, the airplane ground looped and flipped over. A witness reported the wind was gusty at the time of the accident. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2004_FTW04CA098.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
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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.