Open AccessNonparametric Method for Aircraft Sensor Fault Real-Time Detection and Localization
Author(s) -
Ye.V. Bondarenko,
Andrei Chekin,
E. Yu. Zybin,
Vladislav Kosyanchuk
Publication year - 2020
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/714/1/012004
Subject(s) - nonparametric statistics , a priori and a posteriori , redundancy (engineering) , fault detection and isolation , computer science , identification (biology) , real time computing , data mining , artificial intelligence , mathematics , statistics , philosophy , botany , epistemology , actuator , biology , operating system
This paper is a part of a series of articles on unified nonparametric methods in dynamic systems theory. Here the authors propose a new method for dynamic system sensor fault real-time detection and localization based only on some past measurements of monitored system input-output signals. The described nonparametric method needs no any priori information on system or sensor model parameters and does not require functional redundancy, identification, prediction, training or statistical calculations. An example of nonparametric detection and localization of aircraft multiple sensor faults is presented.