NTSB CAROL · Event
Event NYC90IA178
Registry · N175RA
FAA Aircraft Registry record.
Make / Model
AMERICAN CHAMPION AIRCRAFT 7GCBC
Year of manufacture
2002
Engine
LYCOMING 0-320 SERIES (180 hp)
Seats / Engines
2 seats · 1 engine
Last airworthiness date
20020723
ADS-B equipped
Yes — Mode-S A12D38
Registrant of record
BRABEC FRANK F
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
THE FLIGHT CREW'S FAILURE TO FOLLLOW THE LANDING GEAR EMERGENCY CHECKLIST. FACTORS WHICH CONTRIBUTED TO THE INCIDENT WERE: A JAMMED NOSE LANDING GEAR DUE TO THE INSTALLATION OF A BOGUS PART BY UNKNOWN PERSON(S) AND A DIRTY GEAR VIEWING WINDOW.
Factual narrative
THE FLIGHT CREW WAS UNABLE TO GET A DOWN AND LOCKED INDICATION OF THE NOSE GEAR AFTER SEVERAL ATTEMPTS OF BOTH NORMAL AND EMERGENCY EXTENSION. IN ADDITION, THE NOSE GEAR VIEW WINDOW WAS DIRTY, AND THE CREW WAS UNABLE TO DETERMINE IF THE NOSE GEAR WAS DOWN, AND THEY RECEIVED CONFLICTING GROUND REPORTS ABOUT WHETHER 0R NOT IT WAS DOWN. DURING LANDING, THE NOSE GEAR COLLAPSED. POST INCIDENT INVESTIGATION DISCLOSED A BOGUS PART INSTALLED IN THE NOSE LANDING GEAR DOWN LOCK ACTUATOR WHICH JAMMED, PREVENTING FULL EXTENSION. THE NOSE LANDING GEAR VIEW WINDOW WAS NOT A MAINTENANCE INSPECTION ITEM. INTERVIEWS WITH THE FLT CREW DISCLOSED THEY ATTEMPTED AN EXTENSION FOR TOTAL HYDRAULIC FAILURE AND THEN RESET THE SELECTOR VALVE PRIOR TO TOUCHDOWN. WHEN THE VALVE WAS RESET, THE PRESSURE ON THE NOSE LANDING GEAR THAT WAS OBTAINED BY USING THE HAND PUMP WAS RELEASED. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1990_NYC90IA178.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 (stall, 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 · Conference paper
The Value of Strong Partnerships to Build a Successful Aviation Maintenance Career Pathway Program for Transitioning Military Service Members
The aerospace industry is competing with other industries for a qualified workforce, and many of those competing industries are investing heavily in creating workforce development pipelines.
- 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 · Conference Paper
Computational Analysis of Steady State Aerodynamics of Transonic Truss-Braced Wing Configuration in Deep Stall
This study presents a computational investigation of steady state aerodynamics of the Subsonic Ultra-Green Aircraft Research (SUGAR) Transonic Truss-Braced Wing (TTBW) configuration over a wide range …
- 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.
- 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…
- 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.
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