Cover Image

Fault detection of aircraft engine components using fuzzy unordered rule induction algorithm

Nondestructive Fault monitoring is of paramount importance in safety and reliability of aircraft engine operations and timely maintenance of its critical components. There have been numerous attempts by researchers to tackle the problem of nondestructive fault monitoring. The bottleneck in nondestru...

Full description

Saved in:
Bibliographic Details
Main Authors: Htike@Muhammad Yusof, Zaw Zaw, Nyein Naing, Wai Yan
Format: Conference or Workshop Item
Language:English
English
English
Published: 2016
Subjects:
AC Collections. Series. Collected works
Online Access:http://irep.iium.edu.my/54867/1/Fault%20Detection%20of%20Aircraft%20engine%20using%20fuzzy%20unordered%20induction%20system.pdf
http://irep.iium.edu.my/54867/2/Programme_schedule.pdf
http://irep.iium.edu.my/54867/3/List_of_publiction_with_ID_title.pdf
http://irep.iium.edu.my/54867/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.54867
record_format dspace
spelling my.iium.irep.548672018-05-22T01:10:54Z http://irep.iium.edu.my/54867/ Fault detection of aircraft engine components using fuzzy unordered rule induction algorithm Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan AC Collections. Series. Collected works Nondestructive Fault monitoring is of paramount importance in safety and reliability of aircraft engine operations and timely maintenance of its critical components. There have been numerous attempts by researchers to tackle the problem of nondestructive fault monitoring. The bottleneck in nondestructive fault monitoring lies in data analysis. State-of-the-art systems are not accurate due to high dimensionality of sensory data. This paper proposes auto encoder neural network for compressing of high dimensional sensory data and classification using Fuzzy Unordered Rule Induction Algorithm (FURIA) with emphasis on detection and isolation of incipient faults. The preliminary results demonstrate the efficacy of the proposed system. 2016-07-25 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/54867/1/Fault%20Detection%20of%20Aircraft%20engine%20using%20fuzzy%20unordered%20induction%20system.pdf application/pdf en http://irep.iium.edu.my/54867/2/Programme_schedule.pdf application/pdf en http://irep.iium.edu.my/54867/3/List_of_publiction_with_ID_title.pdf Htike@Muhammad Yusof, Zaw Zaw and Nyein Naing, Wai Yan (2016) Fault detection of aircraft engine components using fuzzy unordered rule induction algorithm. In: International Conference on Mechanical, Automotive and Aerospace Engineering, 25-27 Jul 2016, Kuala Lumpur, Malaysia. (Unpublished)
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
topic AC Collections. Series. Collected works
spellingShingle AC Collections. Series. Collected works
Htike@Muhammad Yusof, Zaw Zaw
Nyein Naing, Wai Yan
Fault detection of aircraft engine components using fuzzy unordered rule induction algorithm
description Nondestructive Fault monitoring is of paramount importance in safety and reliability of aircraft engine operations and timely maintenance of its critical components. There have been numerous attempts by researchers to tackle the problem of nondestructive fault monitoring. The bottleneck in nondestructive fault monitoring lies in data analysis. State-of-the-art systems are not accurate due to high dimensionality of sensory data. This paper proposes auto encoder neural network for compressing of high dimensional sensory data and classification using Fuzzy Unordered Rule Induction Algorithm (FURIA) with emphasis on detection and isolation of incipient faults. The preliminary results demonstrate the efficacy of the proposed system.
format Conference or Workshop Item
author Htike@Muhammad Yusof, Zaw Zaw
Nyein Naing, Wai Yan
author_facet Htike@Muhammad Yusof, Zaw Zaw
Nyein Naing, Wai Yan
author_sort Htike@Muhammad Yusof, Zaw Zaw
title Fault detection of aircraft engine components using fuzzy unordered rule induction algorithm
title_short Fault detection of aircraft engine components using fuzzy unordered rule induction algorithm
title_full Fault detection of aircraft engine components using fuzzy unordered rule induction algorithm
title_fullStr Fault detection of aircraft engine components using fuzzy unordered rule induction algorithm
title_full_unstemmed Fault detection of aircraft engine components using fuzzy unordered rule induction algorithm
title_sort fault detection of aircraft engine components using fuzzy unordered rule induction algorithm
publishDate 2016
url http://irep.iium.edu.my/54867/1/Fault%20Detection%20of%20Aircraft%20engine%20using%20fuzzy%20unordered%20induction%20system.pdf
http://irep.iium.edu.my/54867/2/Programme_schedule.pdf
http://irep.iium.edu.my/54867/3/List_of_publiction_with_ID_title.pdf
http://irep.iium.edu.my/54867/
_version_ 1643614630689374208
score 13.211869

Similar Items