CEN22LA426
2022-09-20 · Lebanon, Indiana, United States · None · 1 aircraft · Status: Completed
Airport 6I4
Current FAA registration · N905KM
- Make / Model
- MOSSMAN MICHAEL D ZENAIR CH 601 HD
- Year of manufacture
- 2004 · 18 years old at event
- Engine
- ROTAX SEE BOMBADIER
- Seats / Engines
- 2 seats · 1 engine
- Last airworthiness date
- 20041014
- ADS-B equipped
- Yes — Mode-S AC82AC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The loss of lateral/bank control during takeoff due to the pilot’s decision to operate the airplane with a known fuel imbalance.
Factual narrative
The pilot was performing a maintenance test flight following a recent condition inspection. Due to a persistent fuel leak in the right wing fuel tank, the pilot had about 11 gallons of fuel in the left wing fuel tank and the right fuel tank was empty. Before takeoff, the pilot checked all flight controls with no anomalies noted. The pilot reported that shortly after being out of ground effect during the takeoff, the airplane began to roll to the left. The pilot attempted to correct with right aileron control but was unsuccessful. The pilot pulled the throttle to idle, and the left roll continued until the left wingtip struck the terrain. The airplane cartwheeled into a cornfield adjacent to the runway, came to rest upright, and sustained substantial damage to the fuselage. The pilot reported that there were no preaccident mechanical malfunctions or failures with the airplane that would have precluded normal operation. It is likely the known fuel imbalance resulted in a left roll tendency that could not be corrected with the flight controls during the takeoff. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Lateral/bank control-Not attained/maintained
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot
- — Aircraft-Fluids/misc hardware-Fluids-Fuel-Fluid level
Verbatim from NTSB's published report. Source file
NTSB_2022_CEN22LA426.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
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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…