Fault detection and identification scheme using neural network
This dissertation presents a Fault Detection and Identification Scheme of an aircraft control system based on a feedforward neural network. The training scheme for the neural network uses the standard backpropagation algorithm. The aircraft model used is that of a high performance fighter aircraft a...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Theses and Dissertations |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/3570 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Summary: | This dissertation presents a Fault Detection and Identification Scheme of an aircraft control system based on a feedforward neural network. The training scheme for the neural network uses the standard backpropagation algorithm. The aircraft model used is that of a high performance fighter aircraft and only the longitudinal linear model is considered in this study. |
---|