Open AccessDeveloping an Approach for Fault Detection and Diagnosis of Angular Velocity Sensors
Author(s) -
Dinh-Dung Nguyen,
Hong Son Tran,
Thi Thuy Tran,
Dat Dang Quoc,
Hong Tien Nguyen
Publication year - 2021
Publication title -
international journal of aviation science and technology
Language(s) - English
Resource type - Journals
ISSN - 2687-525X
DOI - 10.23890/ijast.vm02is01.0102
Subject(s) - fault detection and isolation , angular velocity , reliability (semiconductor) , computer science , fault (geology) , control theory (sociology) , limit (mathematics) , process (computing) , real time computing , engineering , artificial intelligence , control (management) , mathematics , physics , actuator , mathematical analysis , power (physics) , quantum mechanics , seismology , geology , operating system
Angular velocity sensor detection and diagnosis become increasingly essential for the improvement of reliability, safety, and efficiency of the control system on aircraft. The classical methods for fault detection and diagnosis are limit or trend checking of some measurable output variables. Due to they do not give a deeper insight and usually do not allow a fault diagnosis, model-based methods of fault detection and diagnosis were developed by using input and output signals and applying dynamic process models. These approaches are based on parameter estimation, parity equations, or state observers. This paper presents an improvement method to build algorithm fault diagnosis for angular velocity sensors on aircraft. Based on proposed method, results of paper can be used in designed intelligent systems that can automatically fault detection on aircraft.