NTSB CAROL · Event
Event WPR11CA489
Registry · N8287X
FAA Aircraft Registry record.
Make / Model
CESSNA 172C
Year of manufacture
1961 · 50 years old at event
Engine
CONT MOTOR 0-300 SER (145 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
19611024
ADS-B equipped
Yes — Mode-S AB51F6
Registrant of record
MCKEEVER JESSE M
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The student pilot's failure to maintain an adequate airspeed on approach, which resulted in a hard landing.
Factual narrative
The student pilot stated that he was practicing short field landings and configured the airplane with full flaps on the approach. The student pilot reduced power too early for the airplane configuration, which caused a loss of airspeed and a subsequent hard landing. During annual maintenance, a mechanic noted that the firewall was bent. The student pilot reported no preimpact mechanical malfunctions or failures with the airplane that would have precluded normal operation. The student pilot stated that he was practicing short field landings and configured the airplane with full flaps on the approach. The student pilot reduced power too early for the airplane configuration, which caused a loss of airspeed and a subsequent hard landing. During subsequent annual maintenance, a mechanic noted that the firewall was bent. The student pilot reported no preimpact mechanical malfunctions or failures with the airplane 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).
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Student pilot - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Airspeed-Not attained/maintained - C
- C Aircraft-Aircraft power plant-Engine controls-Power lever-Incorrect use/operation - C
Verbatim from NTSB's published report. Source file
NTSB_2011_WPR11CA489.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 (icing, maintenance). 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 2023 · Faculty research project
Reconfigurable Guidance and Control Systems for Emerging On-Orbit Servicing, Assembly, and Manufacturing (OSAM) Space Vehicles
Dynamic response to emergent situations is a necessity in the on-orbit servicing, assembly, and manufacturing (OSAM) field, because traditional on-orbit guidance and control (G&C) cannot respond effic…
- Embry-Riddle Scholarly Commons 2019 · Journal article (IJAAA)
Satellite Maintenance: An Opportunity to Minimize the Kessler Effect
Recently, there has been an emphasis on the growing problem of orbital debris. While the advantages of placing satellites into space are numerous, advances in satellite technology combined with the gr…
- Embry-Riddle Scholarly Commons 2015 · Conference paper
The Implementation of Safety Management Systems in Maintenance Operations
Literature for Safety Management Systems (SMS) that apply to flight operations is abundant, but there is a limited supply of SMS-related literature for maintenance operations.
- Embry-Riddle Scholarly Commons 2026 · Journal article (IJAAA)
From Reactive to Predictive: A hybrid Trust-Mediated Adoption Framework for Data-Driven Maintenance in Distributed-Authority Aviation Environments
Modern aviation maintenance operates within increasingly data-intensive technological environments, yet the operational integration of predictive maintenance into routine decision-making remains incon…
- NASA NTRS 2026 · Contractor Report (CR)
Icing Physics Studies Using the 3D SIDRM Test Article: 2023 Icing Tests Analysis
In-flight icing is an important safety issue and is a factor that affects aircraft design and performance. Newer regulations are driving a need for improvements in airframe and engine icing simulation…
- arXiv 2025 · arXiv preprint
Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN
The growing demand for robust, scalable wireless networks in the 5G-and-beyond era has led to the deployment of Unmanned Aerial Vehicles (UAVs) as mobile base stations to enhance coverage in dense urb…
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