ASIP Public-source knowledge, intelligently connected
Aviation Safety Intelligence,Simplified Through Data
Search a growing official-source record, then connect the manufacturer article, regulator alert, accident lesson, and flight parameter behind the safety question.
Approach stability
InsightA suspected high-load event starts a reporting and engineering process; an FDM peak alone is not the airworthiness decision.
Open safety dashboardThis week in safety intelligence
One signal. Four connected perspectives.
A weekly route through the operational topic, occurrence, parameter, and publication behind a safety question.
Hard Landing
A structured guide to recognizing, reporting, analyzing, and responding to a suspected touchdown load exceedance without confusing passenger perception with an engineering determination.
Study the topic ↗Emirates Flight 521 — Dubai
After a long touchdown, the crew initiated a go-around. The aircraft's go-around switches were inhibited after touchdown, and the thrust levers remained at idle through most of the attempted go-around. They were advanced manually only after the aircraft had begun descending, and thrust increased too late to avoid runway impact.
03 · Parameter of the weekNormal acceleration
A short peak may support detection and engineering review of a suspected high-load landing, but recorder sampling, filtering, sensor location, weight, and aircraft response all affect interpretation.
Open parameter guide ↗04 · Publication signalHigh Load Event Reporting
The Airbus Safety First article explains why a pilot report remains central after a suspected high-load event and how recorded reports and analysis tools can support the applicable maintenance process.
Visit official source ↗Explore the knowledge system
Start with a question. Follow the evidence.
ASIP organizes safety knowledge around the way practitioners investigate: from the signal to the context, consequence, barrier, and action.
Search the full operational landscape
Deep briefs and connected profiles across 12 topic families, with FDM events, research questions, and public sources.
Find the document, not just the summary
Search hundreds of official-source records by topic, publisher, aircraft, system, document number, or operational phrase.
Find the event, then decode its signals
125 profiles with logic frames, caveats, related topics, and official reading.
Learn from investigated occurrences
Concise case context linked back to official investigation sources.
See how safety knowledge connects
Move from one topic to its parameters, cases, publications, and organizations.
FDM parameter library
Understand the recorded signal before interpreting the event.
Each guide explains the parameter, units, signal aliases, flight-phase context, monitoring uses, limitations, and the questions to ask before drawing a conclusion.
Normal acceleration
Acceleration measured broadly along the aircraft's vertical body axis; its touchdown peak can help characterize a landing load when interpreted with other signals.
Radio altitude
Height derived from radio altimetry, normally representing the distance from the aircraft to terrain directly below within the system's operating range.
Vertical speed
The aircraft's vertical rate. Different recorded sources and smoothing can produce materially different values, especially during flare and touchdown.
Calibrated airspeed
Indicated airspeed corrected for instrument and position error, as provided by the aircraft data system.
Engine thrust
One or more recorded measures of commanded or produced propulsion; the correct signal depends on engine and aircraft type.
Autopilot status
Engagement and mode states for automatic flight-control systems; useful analysis normally needs more than a single on/off bit.
Connect the event to the hazard, barrier, decision, and assurance loop.
A sourced learning module for safety teams preparing for a more risk-focused environment—while keeping Risk-Based IOSA, FDM programme design, and event-detection logic clearly separated.
Educational synthesis—not an IOSA checklist, maturity score, or substitute for the controlled current standards manual.Use the SMS hazard register, occurrence experience, audit findings, reports, operational change, and external safety intelligence to decide which questions deserve flight-data support.
Define the flight phase, aircraft population, usable signals, exposure measure, event logic, exclusions, and review question before producing a rate or dashboard.
Confirm parameter mapping, units, sampling, segmentation, aircraft differences, missing data, false positives, false negatives, and version control before interpreting results.
A count alone is not risk. Compare like-for-like operations, use an appropriate denominator, inspect severity potential and trend, and retain the operational context.
Ask which preventive, recovery, or consequence-mitigation control should work, who owns it, and what other evidence is needed before selecting an action.
Track the action owner, implementation, unintended effects, and a pre-agreed effectiveness measure. Closing an action is not the same as demonstrating a stronger control.
AI, machine learning & safety data
See what aviation organizations are actually building.
Verified programme and research profiles separate the official purpose, data and methods, project status, and the conclusions the technology cannot make on its own.
Data4Safety
A voluntary European partnership that combines contributed aviation data and collaborative expert analysis to identify systemic risks and possible mitigations.
Development programme; platform entered service in 2024BIGDATA — New intelligence solutions
Research to mature and validate big-data and data-science methods and tools on the Data4Safety environment for wider aviation use.
Open research projectMachine Learning Application Approval (MLEAP)
EASA-initiated Horizon Europe research into methods supporting approval of machine-learning technology for safety-related aviation applications.
Closed research project; final report publishedAviation Safety Information Analysis and Sharing (ASIAS)
A protected government–industry initiative that combines voluntarily shared and public safety data to identify emerging hazards, monitor known risks, and evaluate mitigations.
Active government–industry safety-data programmeSource watch
Latest indexed publications
ASIP stores original summaries and metadata, then sends you to the publisher for the authoritative document.
Annex 19 — Safety Management, Third Edition
International Standards and Recommended Practices for State and service-provider safety management
Annual Safety Review 2025
2024 European and global aviation-safety performance, with ten-year comparisons
Statistical Summary of Commercial Jet Airplane Accidents, 1959–2024
Worldwide commercial-jet accidents, rates, occurrence categories, and regional views
IATA Annual Safety Report — 2024
Global commercial-aviation accidents and rates for 2024, with multi-year benchmarks
Build aviation safety fluency, one concept at a time.
Short, structured learning paths for students, pilots, analysts, investigators, and safety managers—from first principles to practical data questions.
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