NTSB CAROL · Event
Event FTW87MA135
Aircraft involved
Factual narrative
ACFT WAS INVOLVED IN EMS STATIC DEMONSTRATION AT BEAVER TOWNSHIP FIRE DEPT, NEAR BAY CITY. FOLLOWING DEMONSTRATION, SHORTLY AFTER TAKEOFF, THE PILOT ATTEMPTED A STEEP DOWNWIND TURN AT LOW ALTITUDE. REPORTED WINDS AT THE TIME OF THE ACCIDENT WERE 250 DEGREES AT 18 KNOTS WITH GUSTS TO 23 KNOTS. ON-SCENE INVESTIGATION INDICATED THAT THE RIGHT SKID AND MAIN ROTOR BLADES CONTACTED THE GROUND IN A SUGAR BEET FIELD DURING THE TURN, CAUSING LOSS OF CONTROL. THE AIRCRAFT WAS DESTROYED BY IMPACT AND POST-CRASH FIRE. THE PILOT AND FLIGHT NURSE SUFFERED FATAL INJURIES. THE PARAMEDIC RECEIVED MINOR INJURIES. TEARDOWN AND EXAMINATION OF THE ENGINES FAILED TO DISCLOSE ANY ANOMALIES WHICH COULD BE CAUSAL TO THE ACCIDENT. PLT ASKED FLIGHT NURSE, IMMEDIATELY BEFORE TURN, 'ARE YOU READY...' Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1987_FTW87MA135.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 (loss of control). 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 2025 · Journal article (JAAER)
A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- NTSB Aircraft Accident Reports 2022 · Accident report
Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation)
ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
Browse the full corpus — academia portal ↗