A thermograph image extraction based on color features for induction motor bearing fault diagnosis monitoring

A thermograph image extraction based on color features for induction motor bearing fault diagnosis monitoring

In this study, an approach of extraction analysis for bearing fault diagnosis of rotating machinery based on thermogram investigation using color features is proposed in this paper. This research was proposed since condition monitoring and motor failures are g...

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Bibliographic Details
Main Authors: Norliana, Khamisan, Kamarul Hawari, Ghazali, Aufa Huda, Muhammad Zin
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/30689/
http://umpir.ump.edu.my/id/eprint/30689/1/A%20THERMOGRAPH%20IMAGE%20EXTRACTION%20BASED%20ON%20COLOR%20FEATURES%20FOR%20INDUCTION%20MOTOR%20BEARING%20FAULT%20DIAGNOSIS%20MONITORING.pdf

Internet

http://umpir.ump.edu.my/id/eprint/30689/
http://umpir.ump.edu.my/id/eprint/30689/1/A%20THERMOGRAPH%20IMAGE%20EXTRACTION%20BASED%20ON%20COLOR%20FEATURES%20FOR%20INDUCTION%20MOTOR%20BEARING%20FAULT%20DIAGNOSIS%20MONITORING.pdf

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