NTSB CAROL · Event
Event LAX04LA176
Registry · N7NB
FAA Aircraft Registry record.
Make / Model
BELL 47G-4A
Year of manufacture
1970 · 34 years old at event
TCDS
2H3 · SCOTT'S-BELL 47 INC
Engine
LYCOMING VO-540 SERIES (310 hp)
Seats / Engines
3 seats · 1 engine
Last airworthiness date
19800903
ADS-B equipped
Yes — Mode-S A9510A
Registrant of record
MAGNUM AVIATION LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
a loss of tail rotor drive due to a disconnection of the drive shaft's splined coupling at the tail rotor gear box. The splined coupling to tail rotor gear box disconnection occurred as a result of tail boom flexing due to the combined effects of an uninstalled structural support tube and a crack in left side frame tubes. Inadequate maintenance inspection was a factor.
Factual narrative
On April 3, 2004, about 0745 Pacific standard time, a Bell 47G-4A, N7NB, collided with terrain following a loss of tail rotor control near Bakersfield, California. Inland Crop Dusters, Inc., was operating the helicopter under the provisions of 14 CFR Part 137. The commercial pilot, the sole occupant, sustained serious injuries; the helicopter sustained substantial damage. The local aerial application flight departed Shafter-Minter Field Airport, Shafter, California, about 0700. Visual meteorological conditions prevailed, and no flight plan had been filed. In a written statement, the pilot reported that while turning to reposition himself on the spray run he was making, he heard a rattling noise from the aft end of the helicopter. He then lost tail rotor authority and entered a flat spin. The helicopter was only about 150-175 feet above ground level (agl). He rolled off the throttle and lowered the collective. The pilot attempted to make a run-on landing, but the helicopter continued to spin until it impacted terrain. The helicopter incurred damage to the cabin, skids, tail rotor drive system, tail boom, and center section. A Federal Aviation Administration inspector examined the helicopter after the accident. He stated that there was a crack on the left side support tube area of the tail boom, prior to it connecting to the tail rotor assembly. The inboard side of the crack had significant deposits of rust. It was also noted that the cross-over support tube in that area of the frame was missing. The inspector stated that this would have added excessive stress to the structure during turning maneuvers and caused the last spline coupling shaft to disconnect from the tail rotor gear box. A 50-hour maintenance inspection was completed the day before the accident. The helicopter experienced a loss of tail rotor control and collided with terrain. During an aerial application flight, the pilot heard a rattling noise from the aft end of the helicopter. He then lost tail rotor authority and entered a flat spin. The pilot attempted to make a run-on landing, but the helicopter continued to spin until it impacted terrain. A Federal Aviation Administration inspector examined the helicopter after the accident. He noted that the cross-over support tube near the aft end of the tail boom was missing. A crack was found on the tail boom left side frame tubes. Deposits of rust in the area suggests that the crack was a pre-existing crack. The inspector thought that this would have added excessive stress to the structure during turning maneuvers and caused the last spline coupling shaft to disconnect from the tail rotor gear box as the tail boom flexed. A 50-hour maintenance inspection was completed the day before the accident. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2004_LAX04LA176.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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