CHI00LA025
1999-11-08 · NORTH PLATTE, Nebraska, United States · None · 1 aircraft · Status: Completed
Airport LBF
N517A has since been reassigned. It is now registered to a different aircraft (PIPER PA-28-181, built 2014), which was not involved in this event.
Aircraft involved
Probable cause & findings
aircraft control not being maintained by the pilot. A factor to the accident was the crosswind weather condition.
Factual narrative
On November 8, 1999, at 1335 central standard time, a Mancini Vans RV-4, N517A, built and piloted by a commercial pilot, sustained substantial damage, following a loss of control during landing on runway 12 (8,000 feet by 150 feet, dry/concrete), at the North Platte Regional Airport, North Platte, Nebraska. Visual meteorological conditions prevailed at the time of the accident. The personal flight was operating under the provisions of 14 CFR Part 91 and was not on a flight plan. The pilot reported no injuries. The flight originally departed Santa Fe Municipal Airport, Santa Fe, New Mexico, at 1030. According to the pilot's written statement, during the landing flare, the wind "weathercocked" the airplane to the right. The pilot stated that he added left rudder and power and as the airplane, "...came straight the wind got under the R [right] wing and lifted it vertical." The pilot reported that the left wing tip contacted the ground and the airplane cartwheeled hitting the nose, then the right wingtip, and finally the tail. The airplane came to rest in an up-right attitude. The pilot reported that during the landing flare, the wind 'weathercocked' the airplane to the right. The pilot stated that he added left rudder and power and as the airplane, '...came straight the wind got under the R [right] wing and lifted it vertical.' The pilot reported that the left wing tip contacted the ground and the airplane cartwheeled hitting the nose, then the right wingtip, and finally the tail. The airplane came to rest in an up-right attitude. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1999_CHI00LA025.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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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.