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...
| Main Authors: | , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English English English |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/54867/ 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 |
| _version_ | 1848784480940064768 |
|---|---|
| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:37:55Z |
| format | Proceeding Paper |
| id | iium-54867 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T16:37:55Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-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 Proceeding Paper PeerReviewed 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) |
| 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 |
| title | 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_short | 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 |
| topic | AC Collections. Series. Collected works |
| url | http://irep.iium.edu.my/54867/ 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 |