The Data Recovery Technology of Flight Data Recorder Damaged with Synchronous Words Lost

This paper aims to solve the problem of being unable to obtain recorded data due to the complete or partial loss of the frame synchronous words of flight data recorder. The overall technical solution is presented, the positioning and recovery model and its algorithm framework of the frame synchronous words are developed. The data recovery enhancement techniques are proposed such as the binary data stream control algorithm based on bit/byte mode, the mutual verification method of the feature-based data, the interval calculation of adjacent data frames, and then the problem of the inability to obtain accident recorder data due to missing synchronous words is ultimately solved. The proposed method significantly improves the data recovery ratio of the damaged recorder and effectively ensures the accuracy of flight accident investigation and analysis, which has been verified in practical application.

Authors

Institutions

Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/iccasit62299.2024.10827907
Primary Topic
Advanced Decision-Making Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Data Recovery Technology of Flight Data Recorder Damaged with Synchronous Words Lost

Minzhu Zhong, Chunxiang Li
Advanced Decision-Making Techniques
article

The Data Recovery Technology of Flight Data Recorder Damaged with Synchronous Words Lost

Minzhu Zhong, Chunxiang Li
article en

Abstract

This paper aims to solve the problem of being unable to obtain recorded data due to the complete or partial loss of the frame synchronous words of flight data recorder. The overall technical solution is presented, the positioning and recovery model and its algorithm framework of the frame synchronous words are developed. The data recovery enhancement techniques are proposed such as the binary data stream control algorithm based on bit/byte mode, the mutual verification method of the feature-based data, the interval calculation of adjacent data frames, and then the problem of the inability to obtain accident recorder data due to missing synchronous words is ultimately solved. The proposed method significantly improves the data recovery ratio of the damaged recorder and effectively ensures the accuracy of flight accident investigation and analysis, which has been verified in practical application.

Chinese Academy of Civil Aviation Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 59%
Advanced Decision-Making Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.