Comparative study of 1D de-noising techniques using induction motor fault signals
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
Main Authors: | Lamia, Rehnuma Tasnim, Iqbal, Zafor |
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Andre forfattere: | Uddin, Dr. Jia |
Format: | Thesis |
Sprog: | English |
Udgivet: |
BRAC University
2016
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Fag: | |
Online adgang: | http://hdl.handle.net/10361/6374 |
Lignende værker
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A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
af: Uddin, Jia, et al.
Udgivet: (2016) -
Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines
af: Islam, Md Rashedul, et al.
Udgivet: (2018) -
Accelerating 2d fault diagnosis of an induction motor using a graphics processing unit
af: Uddin, Jia, et al.
Udgivet: (2016) -
Reliable fault classification of induction motors using texture feature extraction and a multiclass support vector machine
af: Uddin, Jia, et al.
Udgivet: (2016) -
The use of the inductive and deductive approaches in classrooms
af: Zaman, Nowrin
Udgivet: (2021)