NTSB CAROL · Event
Event CEN17LA099
Aircraft involved
Probable cause & findings
The partial loss of engine power due to the failure of the magneto's internal timing during low-altitude maneuvering.
Factual narrative
On October 28, 2016, at 1000 central daylight time, a Robinson Helicopter R22 Beta, N522KC, impacted terrain during a forced landing after a partial loss of engine power near Asherton, Texas. The helicopter sustained substantial damage. The pilot was uninjured. The helicopter was registered to Rotor Spec Aviation LLC and operated by the pilot under Title 14 Code of Federal Regulations Part 91 as an aerial wildlife survey flight that was not operating on a flight plan. Day visual meteorological conditions prevailed at the time of the accident. The local flight originated from Asherton, Texas at time unknown. A National Transportation Safety Board (NTSB) Pilot/Operator Aircraft Accident/Incident Report was not received from the pilot. According to a Federal Aviation Administration inspector, the helicopter experienced a loss in rotor rpm while maneuvering at low level during a wildlife survey. The pilot then performed a forced landing to a field. Post-accident examination of the helicopter revealed a failure of one of the engine magnetos. The wreckage had been moved and sold by the operator without the knowledge of the Federal Aviation Administration inspector and the NTSB. The NTSB Investigator-in-Charge located the engine at an engine maintenance facility whose representative stated that he examined the engine magnetos and one of the magnetos, Bendix model number S4LSC-200, part number 10-600614-1, serial number J229358E, had an internal timing, efficiency gap (E-gap) failure. He said the magneto distributer gear was loose, and the distributer gear bushing was "flapping" around. The helicopter experienced a loss in rotor rpm while maneuvering during a low-level wildlife survey. The commercial pilot then performed a forced landing to a field. Postaccident examination of the helicopter revealed that one of the engine magnetos had an internal timing, efficiency gap failure, which would have resulted in improper engine ignition timing and loss of engine power/rpm. Examination also revealed that the magneto distributer gear was loose and that the distributer gear bushing was flapping around. 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 Aircraft-Aircraft power plant-Ignition system-Magneto/distributor-Failure - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Prop/rotor parameters-Attain/maintain not possible - C
Verbatim from NTSB's published report. Source file
NTSB_2016_CEN17LA099.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Beyond the agency record
Search this event elsewhere.
Pre-filled searches into the sources where news + community discussion of aviation events lives. External sources are reported, not agency. Treat them as signal that something happened, not as fact about what happened.
Entity-clustered aviation events in the press — last 24 hr + 30-day archive.
Official agency record + docket.
Investigative docket: factual reports, photos, transcripts.
Long-running aviation incident database (Flight Safety Foundation).
Community NTSB synthesis blog — often has photos and witness reports.
Gold-standard aviation incident blog.
Aviation industry news search.
GA pilot forum — informed but rumor-prone.
GA pilot subreddit search.
Tail-number page — flight history (free tier limited).
AOPA Air Safety Institute search.
Mainstream press coverage. Recent events only.
Privacy-preserving news search.
External links open in a new tab. We don't ingest their content; we deep-link search queries.
Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (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 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 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.
- Embry-Riddle Scholarly Commons 2024 · Journal article (IJAAA)
Just Culture in Aviation: A Metaphorical Study on Aircraft Maintenance Students
Just Culture, a sub-dimension of safety culture, has been a prominent and debated topic in aviation safety in recent years.
- Embry-Riddle Scholarly Commons 2024 · Journal article (IJAAA)
Performance PRISM: A Comprehensive Framework For Performance Measurement In Aircraft Maintenance
Aircraft maintenance is governed by rigorous safety requirements and high operational complexity, demanding robust performance measurement frameworks to ensure optimal maintenance practices.
Browse the full corpus — academia portal ↗