ATL99LA006
1998-10-10 · FAYETTE, Mississippi, United States · None · 1 aircraft · Status: Completed
Aircraft involved
Probable cause & findings
The fuel filter contamination which resulted in the loss of engine power. The air leak in the fuel system was a factor.
Factual narrative
On October 10, 1998, at 1020 central daylight time, a Hiller FH-1100, N580RH, collided with a log, while attempting an emergency landing near Fayette, Mississippi. The aerial application flight was operated by Ward Aviation Incorporated under the provisions of Title 14 CFR Part 137 with visual flight rules. Visual weather conditions prevailed at the time of the accident, with no flight plan filed. The commercial rated pilot was not injured, and the helicopter was substantially damaged. The flight departed Fayette, Mississippi, at 1007 of the same day. According to the pilot, while making a 180 degree turn, the boost pump fail light came on. Shortly afterwards the engine shutdown at about 150 feet AGL. He selected a field for an emergency landing and entered an autorotation. During the touchdown phase of the autorotation, the helicopter collided with a log and rolled over. The pilot also stated that there was insufficient RPM to stop roll over (see attached pilot statement). The examination of the engine and the fuel supply vacuum system disclosed that there was an air leak between the fuel tank and the engine driven fuel pump. Also both the airframe and engine fuel filters were clogged with an unidentifiable brownish, jelly-like substance. A review of the maintenance log revealed that the last 100 hour inspection was 98 hours before the accident. There were no further indications of any other maintenance done on the fuel system. (see attached inspector's report). According to the pilot, while making a 180 degree turn, the boost pump fail light came on. Shortly afterwards the engine shut down at about 150 feet AGL. He selected a field for an emergency landing and entered an autorotation. During the touchdown phase of the autorotation, the helicopter collided with a log and rolled over. According to the pilot, there was insufficient RPM to stop the roll over. Examination of the engine concluded that the fuel supply system had an air leak between the fuel tank and the engine driven fuel pump. Also both the airframe and engine fuel filters were clogged with an unidentifiable brownish, jelly-like substance. A review of the maintenance log revealed that the last 100 hour inspection was 98 hours before the accident. There were no further indications of any other maintenance done on the fuel system. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1998_ATL99LA006.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
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- 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.
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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…