CEN23LA198
2023-05-23 · Wichita, Kansas, United States · None · 1 aircraft · Status: Completed
Airport KAAO
Current FAA registration · N49RH
- Make / Model
- CESSNA 172S
- Seats / Engines
- 4 seats · 1 engine
- ADS-B equipped
- Yes — Mode-S A60F3E
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s failure to maintain a safe taxi distance from a turbine-powered airplane, resulting in an encounter of the turbine-powered airplane’s jet blast while taxiing.
Factual narrative
The student pilot reported that, during taxi on taxiway A1 in a Cessna 172, a nearby turbine-powered Embraer Phenom airplane parked in the run-up area for taxiway blocked his path to the runway. After completing his pre-takeoff checklist, the student pilot radioed the Phenom crew and asked “if [he] could proceed and sneak behind them to the runway”. The Phenom crew replied, “that should be fine” and the pilot then proceeded to taxi behind the Phenom. As the Cessna taxied behind the Phenom, the jet blast lifted the airplane onto its propeller and left wing which resulted in substantial damage to the left wing. The Phenom maintenance crew reported they were conducting a high-power engine run and did not know that an airplane was trying to taxi behind them on taxiway A1. During the student pilot’s initial radio call, a turbine powered Beechjet airplane was taxiing the opposite direction on the taxiway and because the student pilot of the accident airplane did not identify himself with the airplane’s callsign, the maintenance crew assumed the radio call came from the Beechjet. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- — Personnel issues-Action/decision-Action-Incorrect action performance-Pilot
- — Aircraft-Aircraft handling/service-Towing and taxiing-Taxiing-Incorrect use/operation
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot
- — Personnel issues-Task performance-Communication (personnel)-Accuracy of communication-Pilot
- — Personnel issues-Task performance-Communication (personnel)-Interpretation/understanding-Pilot
Verbatim from NTSB's published report. Source file
NTSB_2023_CEN23LA198.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
- TallyAero Live Wire Aviation press
- NTSB CAROL Agency ↗
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Related research
Matched on aircraft type or causal vocabulary (maintenance). All research papers
- 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…
- Semantic Scholar 2026 · Article (Reliability Engineering & System Safety) Understanding human error in military aviation maintenance: The role of Performance shaping factors, cognitive workload and error orientation
- Semantic Scholar 2025 · Article (Applied Sciences) Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies
The implementation of predictive maintenance (PM) in aviation presents unique challenges due to strict safety requirements, complex operational environments, and regulatory constraints.
- Semantic Scholar 2024 · Article (Defence Science Journal) Modelling of Human Factors in Aviation Maintenance Using HFACS ME Human Factors Analysis and Classification System Maintenance Extension and Bayesian Network
Aircraft maintenance is a complex task involving a skilled human workforce, spare parts, and various other resources. Human factors are an inherent element of the human workforce.
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER) A New Trajectory in UAV Safety: Leveraging Reinforcement Learning for Distance Maintenance Under Wind Variations
In the field of aviation, safety is a critical cornerstone, and the operation of Unmanned Aerial Vehicle (UAV) systems is deeply connected with this principle.
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER) Low-Resource Automatic Speech Recognition Domain Adaptation – A Case-Study in Aviation Maintenance
With timeliness and efficiency being critical in the aviation maintenance industry, the need has been growing for smart technological solutions that optimize and streamline the different underlying ta…