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Poom Konghuayrob. Comparison of reduced-length FFT-based feature for induction motor fault classification. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2025.
Comparison of reduced-length FFT-based feature for induction motor fault classification
Name: Pat Taweewat
Organization :
King Mongkut's Institute of Technology Ladkrabang. School of Engineering
Email :
63601002@kmitl.ac.th
Name: Warachart Suwan-ngam
Organization :
King Mongkut's Institute of Technology Ladkrabang. School of Engineering
Email :
warachart.su@kmitl.ac.th
Name: Kanoknuch Songsuwankit
Organization :
King Mongkut's Institute of Technology Ladkrabang. School of Engineering
Email :
kanoknuch.so@kmitl.ac.th
Name: Poom Konghuayrob
Organization :
King Mongkut's Institute of Technology Ladkrabang. School of Engineering
Email :
poom.ko@kmitl.ac.th
keyword:
Fast Fourier transform
LCSH:
Machine learning
Abstract:
This research presents a comparison of FFTbased
features which can be used for classifying induction motor
faults via neural network. In this paper, the misalignment and
rotor bar damage faults are investigated by using stator current
as input data only. As the length of the full FFT can include both
informative data corresponding to the faults and uninformative
data such as noise from environment or electrical supply, only
relevant magnitude from FFT bins should be selected and used
instead. This paper proposed to use threshold level determined
from the magnitude of FFT bins in dataset as a criterion for the
selection. From experimental results, an input feature vector
created by proposed method can create short input feature
vector length to be used by neural network efficiently. The
trained neural network performs classification task at 99.98%
in accuracy. Comparing to using dimension reduction by PCA,
thresholding method needs basic computation, and yields result
close to PCA method
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2025
Modified:
2025-06-24
Issued:
2025-06-24
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering Academic Association (Thailand) and King Mongkut's University of Technology North Bangkok. Department of Electrical and Computer Engineering. 13th International Electrical Engineering Congress (iEECON 2025) (P06413). Bangkok : Electrical Engineering Academic Association (Thailand), 2025
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.020992 วินาที
Pat Taweewat
| Title | Contributor | Type |
|---|---|---|
| Comparison of reduced-length FFT-based feature for induction motor fault classification
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Pat Taweewat;Warachart Suwan-ngam;Kanoknuch Songsuwankit;Poom Konghuayrob | บทความ/Article | |
| Low-cost system for investigating a small motor fault classification based on current signal
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Pat Taweewat;Warachart Suwan-ngam;Kanoknuch Songsuwankit;Poom Konghuayrob | บทความ/Article |
Warachart Suwan-ngam
| Title | Contributor | Type |
|---|---|---|
| Comparison of reduced-length FFT-based feature for induction motor fault classification
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Pat Taweewat;Warachart Suwan-ngam;Kanoknuch Songsuwankit;Poom Konghuayrob | บทความ/Article | |
| Low-cost system for investigating a small motor fault classification based on current signal
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Pat Taweewat;Warachart Suwan-ngam;Kanoknuch Songsuwankit;Poom Konghuayrob | บทความ/Article |
Kanoknuch Songsuwankit
| Title | Contributor | Type |
|---|---|---|
| Comparison of reduced-length FFT-based feature for induction motor fault classification
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Pat Taweewat;Warachart Suwan-ngam;Kanoknuch Songsuwankit;Poom Konghuayrob | บทความ/Article | |
| Low-cost system for investigating a small motor fault classification based on current signal
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Pat Taweewat;Warachart Suwan-ngam;Kanoknuch Songsuwankit;Poom Konghuayrob | บทความ/Article |
Poom Konghuayrob
| Title | Contributor | Type |
|---|---|---|
| Comparison of reduced-length FFT-based feature for induction motor fault classification
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Pat Taweewat;Warachart Suwan-ngam;Kanoknuch Songsuwankit;Poom Konghuayrob | บทความ/Article | |
| Low-cost system for investigating a small motor fault classification based on current signal
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Pat Taweewat;Warachart Suwan-ngam;Kanoknuch Songsuwankit;Poom Konghuayrob | บทความ/Article |