Experimental evaluation of data fusion algorithm for residual generation in detecting UAV servo actuator fault

Algorithms; Data fusion; Hardware; Military vehicles; Redundancy; Software reliability; Unmanned aerial vehicles (UAV); Analytical redundancy; Data fusion algorithm; Experimental evaluation; Fault detection algorithm; Hostile environments; Model reference methods; On-board fault detection; Software...

Full description

Saved in:
Bibliographic Details
Main Authors: Sahwee Z., Rahman N.A., Sahari K.S.M.
Other Authors: 55524079500
Format: Article
Published: Multi-Science Publishing Co. Ltd 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tenaga Nasional
id my.uniten.dspace-22326
record_format dspace
spelling my.uniten.dspace-223262023-05-29T14:00:14Z Experimental evaluation of data fusion algorithm for residual generation in detecting UAV servo actuator fault Sahwee Z. Rahman N.A. Sahari K.S.M. 55524079500 9338388000 57218170038 Algorithms; Data fusion; Hardware; Military vehicles; Redundancy; Software reliability; Unmanned aerial vehicles (UAV); Analytical redundancy; Data fusion algorithm; Experimental evaluation; Fault detection algorithm; Hostile environments; Model reference methods; On-board fault detection; Software and hardwares; Fault detection Unmanned Aerial Vehicles used by military are generally designed with very high reliability and have multiple redundancy of software and hardware equipment because they are intended to operate in hostile environment. But, relatively low cost UAVs used commercially are not equipped with such systems. Usually, micro UAVs weight less than 2kg are equipped with on-board miniature sensor and operate without any hardware redundancy and thus could reduce their reliability. Some of these commercial UAVs that operate in populated areas will cause damage and fatality if faulty system occurred. Hence there is a need for on-board fault detection and isolation system without degradating the UAV flyability and its cost. Analytical redundancy or model reference method of fault detection algorithms could be implemented as most UAVs are microcontroller controlled. Together, with the availability of miniature sensors could provide an ideal platform for implementing fault detection. In this paper, the development of fault detection through residual generation algorithm is implemented with data fusion from miniature sensors. Some of these sensors are already installed within the autopilot system which reduce the amount of additional sensors needed. Identification of fault in the elevator is simulated experimentally and fault detection rate is monitored. From the implemented algorithm, the data fusion from additional sensors shows improvement in fault detection rate. Final 2023-05-29T06:00:14Z 2023-05-29T06:00:14Z 2015 Article 10.1260/1756-8293.7.2.133 2-s2.0-84951041534 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84951041534&doi=10.1260%2f1756-8293.7.2.133&partnerID=40&md5=d752cb4da964a085870b8ff465e9bd7c https://irepository.uniten.edu.my/handle/123456789/22326 7 2 133 145 All Open Access, Gold Multi-Science Publishing Co. Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Algorithms; Data fusion; Hardware; Military vehicles; Redundancy; Software reliability; Unmanned aerial vehicles (UAV); Analytical redundancy; Data fusion algorithm; Experimental evaluation; Fault detection algorithm; Hostile environments; Model reference methods; On-board fault detection; Software and hardwares; Fault detection
author2 55524079500
author_facet 55524079500
Sahwee Z.
Rahman N.A.
Sahari K.S.M.
format Article
author Sahwee Z.
Rahman N.A.
Sahari K.S.M.
spellingShingle Sahwee Z.
Rahman N.A.
Sahari K.S.M.
Experimental evaluation of data fusion algorithm for residual generation in detecting UAV servo actuator fault
author_sort Sahwee Z.
title Experimental evaluation of data fusion algorithm for residual generation in detecting UAV servo actuator fault
title_short Experimental evaluation of data fusion algorithm for residual generation in detecting UAV servo actuator fault
title_full Experimental evaluation of data fusion algorithm for residual generation in detecting UAV servo actuator fault
title_fullStr Experimental evaluation of data fusion algorithm for residual generation in detecting UAV servo actuator fault
title_full_unstemmed Experimental evaluation of data fusion algorithm for residual generation in detecting UAV servo actuator fault
title_sort experimental evaluation of data fusion algorithm for residual generation in detecting uav servo actuator fault
publisher Multi-Science Publishing Co. Ltd
publishDate 2023
_version_ 1806423397840715776