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.
Asıl Yazarlar: | Lamia, Rehnuma Tasnim, Iqbal, Zafor |
---|---|
Diğer Yazarlar: | Uddin, Dr. Jia |
Materyal Türü: | Tez |
Dil: | English |
Baskı/Yayın Bilgisi: |
BRAC University
2016
|
Konular: | |
Online Erişim: | http://hdl.handle.net/10361/6374 |
Benzer Materyaller
-
A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
Yazar:: Uddin, Jia, ve diğerleri
Baskı/Yayın Bilgisi: (2016) -
Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines
Yazar:: Islam, Md Rashedul, ve diğerleri
Baskı/Yayın Bilgisi: (2018) -
Accelerating 2d fault diagnosis of an induction motor using a graphics processing unit
Yazar:: Uddin, Jia, ve diğerleri
Baskı/Yayın Bilgisi: (2016) -
Reliable fault classification of induction motors using texture feature extraction and a multiclass support vector machine
Yazar:: Uddin, Jia, ve diğerleri
Baskı/Yayın Bilgisi: (2016) -
The use of the inductive and deductive approaches in classrooms
Yazar:: Zaman, Nowrin
Baskı/Yayın Bilgisi: (2021)