A Comprehensive Case Study of Data-Driven Methods for Robust Aircraft Sensor Fault Isolation

A Comprehensive Case Study of Data-Driven Methods for Robust Aircraft Sensor Fault Isolation

Recent catastrophic events in aviation have shown that current fault diagnosis schemes may not be enough to ensure a reliable and prompt sensor fault diagnosis. This paper describes a comparative analysis of consolidated data-driven sensor Fault Isolation (FI) and Fault Estimation (FE) techniques us...

Full description

Bibliographic Details
Main Authors: Nicholas Cartocci, Marcello R. Napolitano, Gabriele Costante, Mario L. Fravolini
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
data-driven fault diagnosis
robust residual generation
fault isolation and estimation
Bayesian filtering
aircraft safety
flight data
Online Access:https://www.mdpi.com/1424-8220/21/5/1645

Internet

https://www.mdpi.com/1424-8220/21/5/1645

Similar Items