
Detection of dynamic errors in aircraft flight data
Author(s) -
О. Н. Корсун,
С. В. Николаев,
Moung Htang
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1027/1/012011
Subject(s) - identification (biology) , computer science , dynamic data , flight safety , flight dynamics , aerospace engineering , data mining , aeronautics , engineering , aerodynamics , botany , biology , programming language
The paper considers the algorithmic and methodologic support for detecting dynamic errors in aircraft on-board measurements using parameter identification and system approach to flight data analysis. Examples of practical application of the considered methods and algorithms for detecting dynamic errors in modern aircraft flight data are presented.