CHI96LA122
1996-04-01 · WEST CHICAGO, Illinois, United States · None · 1 aircraft · Status: Completed
Airport DPA
Current FAA registration · N9470M
- Make / Model
- CESSNA 210K
- Year of manufacture
- 1970 · 26 years old at event
- Engine
- CONT MOTOR IO 520 SERIES (285 hp)
- Seats / Engines
- 6 seats · 1 engine
- Last airworthiness date
- 19701128
- ADS-B equipped
- Yes — Mode-S AD298D
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
Maintenance personnel's failure to comply with an airworthiness directive on the landing gear which led to a retraction/extension assembly malfunction.
Factual narrative
On April 1, 1996, at 1355 central standard time, a Cessna 210K, N9470M, operated by a private pilot, sustained substantial damage when the right main gear collapsed on landing. The airplane landed on runway 10 (4,751' x 75' dry/asphalt) at DuPage Airport, West Chicago, Illinois. The pilot reported no injuries. The local personal 14 CFR Part 91 flight was operating in visual meteorological conditions. No flight plan was on file. The flight departed West Chicago, Illinois, about 1200. Subsequent to the accident an examination of the landing gear retraction/extension mechanism was conducted by the Federal Aviation Administration (FAA). According to the FAA inspector there were airworthiness directives (AD) pertaining the landing gear which had not been accomplished. The same inspector stated the AD's directly affected the function of the retraction/extension mechanism system. The pilot told FAA inspectors that he did not have a current biennial flight review. His FAA third class medical was issued on August 15, 1995; however, it was valid for three months and had expired at the time of the accident. On landing the right main landing gear collapsed. Subsequent examination revealed that the extension and retraction mechanism had malfunctioned. Airworthiness directives pertaining to the landing gear directly affecting the retraction and extension function had not been accomplished. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1996_CHI96LA122.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 (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…