FPGA based on-line fault diagnostic of induction motors using electrical signature analysis-Reference-Cited by-同舟云学术

FPGA based on-line fault diagnostic of induction motors using electrical signature analysis

Published:2018-08-18 Issue:1 Volume:11 Page:165-169
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Karim E.,Memon T. D.,Hussain I.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/article/10.1007/s41870-018-0238-5/fulltext.html

Reference18 articles.

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3. Soomro AA, Hussain I, Kazi K, Khoso SK, Ansari S (2016) A hybrid monitoring technique for diagnosis of mechanical faults in induction motor. Indian J Sci Technol 9:47

4. Hussain I, Abro FR, Khizer AN, Ali H (2015) Fault detection and identification in horizontal axis wind turbine using current signal analysis. Sindh Univ Res J Sci Ser 47(2):291–294

5. Othman MS, Nuawi MZ (2015) Vibration and acoustic emission signal monitoring for detection of induction motor bearing fault 4(05):924–929

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