NTSB CAROL · Event
Event ATL96LA128
Registry · N9VM
FAA Aircraft Registry record.
Make / Model
MAULE M-7-260C
Year of manufacture
2009
Engine
LYCOMING IO-540-V4A5D (260 hp)
Seats / Engines
5 seats · 1 engine
Last airworthiness date
20131116
ADS-B equipped
Yes — Mode-S AC6C61
Registrant of record
CLEMENTE MOTORS INC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
failure of maintenance personnel to comply with an airworthiness directive, requiring periodic magneto inspections; inadequate annual inspection of the airplane by (other) maintenance personnel; and subsequent failure of the impulse coupling in the left magneto, which resulted in a jammed magneto, failure of the idler and crankshaft gears, and subsequent loss of engine power. The lack of suitable terrain for a forced landing was a related factor.
Factual narrative
On September 19, 1996, about 1800 eastern daylight time, a Piper PA-32-300, N9VM, collided with trees and the ground during an emergency descent and forced landing at Georgetown, South Carolina. The airplane was operated by the owner/pilot under the provisions of Title 14 CFR Part 91, and visual flight rules. Visual meteorological conditions prevailed. A flight plan was not filed for the personal flight. The commercial pilot received minor injuries, and the airplane was substantially damaged. The flight was originating at the time of the accident, and was destined for Savannah, GA. According to the pilot, about 2,500 feet, during the climb after takeoff, he heard a "whoosh," and noted that the engine oil pressure indicated zero. Subsequently, the engine lost power, with the propeller continuing to windmill. During the attempted forced landing, the airplane collided with trees and the ground. A Federal Aviation Administration airworthiness inspector, examined the engine on September 20, 1996. He reported that he discovered the left magneto was jammed. Further, the impulse coupling had failed and the left magneto would not rotate, after removal from the engine. The crankshaft gear did not rotate with the crankshaft. The crankshaft gear bolt was bent and had backed out enough to break the safety tab, and the dowel pin that aligns the gear to the crankshaft was sheared. Several teeth were broken from the left idler gear. Entries in the engine log indicated that the last recorded inspection of the magneto that is required by Airworthiness Directive (AD) 78-09-07R3 was November 2, 1988, which was 432.3 hours since engine overhaul. The AD specified recurring inspections of the magneto impulse coupling for wear each 500 hours of engine time in service. The AD was superseded by AD 96-12-07, however, the recurring inspection was still applicable. While climbing through about 2,500 feet after takeoff, the engine lost power. The pilot was forced to land on unsuitable terrain, which resulted in a collision with a tree. After the accident, the engine's left magneto was found jammed due to a failed impulse coupling. The jammed magneto broke the idler gear and the crankshaft gear with which it meshed, precipitating a total loss of power. The impulse coupling was the subject of an airworthiness directive that required recurring inspections at each 500 hours of engine operation. Records showed that the last inspection of the magneto was in November 1988, 432 hours after the engine had been overhauled. The last annual inspection was in October 1995, with a tachometer time of 2,905 hours since overhaul. At the time of the accident, the engine had a total flight time of 3,109 hours recorded since overhaul. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1996_ATL96LA128.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 (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.
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