Testing of Immunity-Based Failure Detection and Identification Scheme with the NASA Generic Transport Model

2011 ◽  
Author(s):  
Mario Perhinschi ◽  
Hever Moncayo ◽  
Brenton Wilburn ◽  
Amber Bartlett ◽  
Jennifer Davis ◽  
...  
Keyword(s):  
Transport Model ◽  
Failure Detection ◽  
Identification Scheme ◽  
Detection And Identification

Neurally-augmented immunity-based detection and identification of aircraft sub-system failures

2014 ◽  
Vol 118 (1205) ◽  
pp. 775-796 ◽  
Author(s):  
M. G. Perhinschi ◽  
H. Moncayo ◽  
B. Wilburn ◽  
J. Wilburn ◽  
O. Karas ◽  
...  
Keyword(s):  
Artificial Immune System ◽  
Transport Model ◽  
Failure Detection ◽  
The Self ◽  
False Alarms ◽  
System Failure ◽  
Simulation Environment ◽  
Artificial Immune ◽  
System Failures ◽  
Detection And Identification

Abstract This paper presents the development and testing through simulation of an integrated scheme for aircraft sub-system failure detection and identification (FDI) based on the artificial immune system (AIS) paradigm augmented with artificial neural networks. The features that define the self within the AIS paradigm include neural estimates of the angular accelerations produced by the abnormal conditions. The simulation environment integrates the NASA Generic Transport Model interfaced with FlightGear. A hierarchical multi-self strategy was investigated for developing FDI schemes capable of handling malfunctions of a variety of aircraft sub-systems. The performance of the FDI scheme has been evaluated in terms of false alarms and successful detection and identification over a wide flight envelope and for several actuator and aerodynamic surface failures. For all cases considered, the performance was very good, confirming the potential of the AIS paradigm augmented with the proposed neural network-based approach for feature definition to offer a comprehensive solution to the aircraft sub-system FDI problem.

Failure detection and identification

1989 ◽  
Vol 34 (3) ◽  
pp. 316-321 ◽  
Author(s):  
M.-A. Massoumnia ◽  
G.C. Verghese ◽  
A.S. Willsky
Keyword(s):  
Failure Detection ◽  
Detection And Identification

Fault Detection and Identification Scheme for Dual-Inverter Fed OEWIM Drive

2020 ◽  
Vol 67 (7) ◽  
pp. 6112-6123 ◽  
Author(s):  
Shuying Yang ◽  
Xiaohan Sun ◽  
Mingyao Ma ◽  
Xing Zhang ◽  
Liuchen Chang
Keyword(s):  
Fault Detection ◽  
Identification Scheme ◽  
Detection And Identification ◽  
Fault Detection And Identification
Sign in / Sign up

Export Citation Format

Share Document