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.
المؤلفون الرئيسيون: | Lamia, Rehnuma Tasnim, Iqbal, Zafor |
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مؤلفون آخرون: | Uddin, Dr. Jia |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
BRAC University
2016
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الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10361/6374 |
مواد مشابهة
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A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
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Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines
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منشور في: (2018) -
Accelerating 2d fault diagnosis of an induction motor using a graphics processing unit
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Reliable fault classification of induction motors using texture feature extraction and a multiclass support vector machine
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The use of the inductive and deductive approaches in classrooms
بواسطة: Zaman, Nowrin
منشور في: (2021)