Wireless fault tolerances decision using artificial intelligence technique
Wireless techniques utilized in industrial applications face significant challenges in preventing noise, collision, and data fusion, particularly when wireless sensors are used to identify and classify fault in real time for protection. This study will focus on the design of integrated wireless faul...
Saved in:
Main Authors: | Lilo, M. A., Latiff, L. A., Abu, A. B. H., Al Mashhadany, Y. I. |
---|---|
Format: | Article |
Language: | English |
Published: |
Asian Research Publishing Network
2016
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/72583/1/MoneerAliLilo2016_WirelessFaultTolerancesDecision.pdf http://eprints.utm.my/id/eprint/72583/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969524609&partnerID=40&md5=6f9939023a0bb7fbe41b2211e1360a0e |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identify and classify vibration fault based on artificial intelligence techniques
by: Lilo, M. A., et al.
Published: (2016) -
Identify and classify vibration fault based on artificial intelligence techniques
by: Lilo, M. A., et al.
Published: (2016) -
Identify and classify vibration fault based on artificial intelligence techniques
by: Abdul Latiff, Liza, et al.
Published: (2016) -
Vibration fault detection and classifaction based on the fft and fuzzy logic
by: Lilo, Moneer Ali, et al.
Published: (2016) -
Blade fault diagnosis using artificial intelligence technique
by: W. K., Ngui
Published: (2016)