scholarly journals Diagnosis of Tobacco Addiction using Medical Signal: An EEG-based Time-Frequency Domain Analysis Using Machine Learning

2021 ◽  
Vol 6 (1) ◽  
pp. 842-849
Author(s):  
Md Mahmudul Hasan ◽  
Nafiul Hasan ◽  
Mohammed Saud A Alsubaie ◽  
Md Mostafizur Rahman Komol
Keyword(s):  
Machine Learning ◽  
Frequency Domain ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Time Frequency ◽  
Tobacco Addiction ◽  
Medical Signal

A Portable Detecting and Analytic Instrument of Vibration Signal

2012 ◽  
Vol 442 ◽  
pp. 305-308
Author(s):  
Jian Wei Li ◽  
Ling Wang ◽  
Hong Mei Zhang
Keyword(s):  
Frequency Domain ◽  
Virtual Instrument ◽  
Vibration Signal ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Time Frequency ◽  
Notebook Computer ◽  
Usb Bus ◽  
Data Acquisition Card

It is often needed in engineering that detecting and analyzing vibration signal of some equipment. To meet the requirement, a portable detecting and analytic instrument was designed using virtual instrument concept. In the instrument, notebook computer was used as the platform of hardware. Vibration signal was obtained by integrated piezoelectric acceleration sensor (DTS0104T), and was transferred to a notebook computer through data acquisition card (NI USB-6210) based on USB bus. The software, running on the notebook computer, was developed under LabVIEW. Vibration signal could be displayed on screen, recorded in disk or printed by printer, retrieved, and analyzed. The analysis functions of the instrument include: time-domain analysis, frequency-domain analysis, time-frequency domain analysis, and correlation analysis. The instrument is compact, portable, powerful, and with friendly interfaces, has broad application prospects.

scholarly journals Diagnosis on Surface Failure in Gear Equipment Using Time - Frequency Domain Analysis

Engineering ◽  
2011 ◽  
Vol 03 (08) ◽  
pp. 851-858 ◽  
Author(s):  
Yuji Ohue ◽  
Toshiya Kounou ◽  
Katsuhiko Yazama
Keyword(s):  
Frequency Domain ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Time Frequency ◽  
Surface Failure
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