Abstract
This paper reports the diagnostic results of a free-running of air turbine dental handpiece (ATDH) with three rotor statuses by applying fast Fourier transform (FFT), Hilbert-Huang transform (HHT), and multiscale entropy (MSE) processes. The proposed method was tested under conditions of additional axial preload on the rotor and ceramic bearings with a damaged outer race supporting the rotor. A laser-Doppler vibrometer, condenser microphone, and portable MEMS system microphone were used to acquire the signals when the ATDH rotor features were changed. The results showed that changes in preload or malfunctioning ball bearings can be discriminated and abstracted using FFT and HHT to analyze the vibration frequencies. The experimental results showed that the proposed method can successfully predict the prognostic status of an ATDH rotor. The smart sensing of the health of the ATDH was achieved through a comparative evaluation of the MSE values. The proposed diagnostic method yielded satisfactory prognostic effectiveness in predicting the health status of the tested ATDH rotor.
| Original language | English |
|---|---|
| Pages (from-to) | 1514-1524 |
| Number of pages | 11 |
| Journal | Journal of Vibroengineering |
| Volume | 18 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2016 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Materials Science(all)
- Mechanical Engineering
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Prognostic diagnosis of the health status of an air-turbine dental handpiece rotor by using sound and vibration signals. / Yi-Cheng, Huang; Chang-Chih, Liu; Po-Chou, Chuo.
In: Journal of Vibroengineering, Vol. 18, No. 3, 01.01.2016, p. 1514-1524.Research output: Contribution to journal › Article
TY - JOUR
T1 - Prognostic diagnosis of the health status of an air-turbine dental handpiece rotor by using sound and vibration signals
AU - Yi-Cheng, Huang
AU - Chang-Chih, Liu
AU - Po-Chou, Chuo
PY - 2016/1/1
Y1 - 2016/1/1
N2 - This paper reports the diagnostic results of a free-running of air turbine dental handpiece (ATDH) with three rotor statuses by applying fast Fourier transform (FFT), Hilbert-Huang transform (HHT), and multiscale entropy (MSE) processes. The proposed method was tested under conditions of additional axial preload on the rotor and ceramic bearings with a damaged outer race supporting the rotor. A laser-Doppler vibrometer, condenser microphone, and portable MEMS system microphone were used to acquire the signals when the ATDH rotor features were changed. The results showed that changes in preload or malfunctioning ball bearings can be discriminated and abstracted using FFT and HHT to analyze the vibration frequencies. The experimental results showed that the proposed method can successfully predict the prognostic status of an ATDH rotor. The smart sensing of the health of the ATDH was achieved through a comparative evaluation of the MSE values. The proposed diagnostic method yielded satisfactory prognostic effectiveness in predicting the health status of the tested ATDH rotor.
AB - This paper reports the diagnostic results of a free-running of air turbine dental handpiece (ATDH) with three rotor statuses by applying fast Fourier transform (FFT), Hilbert-Huang transform (HHT), and multiscale entropy (MSE) processes. The proposed method was tested under conditions of additional axial preload on the rotor and ceramic bearings with a damaged outer race supporting the rotor. A laser-Doppler vibrometer, condenser microphone, and portable MEMS system microphone were used to acquire the signals when the ATDH rotor features were changed. The results showed that changes in preload or malfunctioning ball bearings can be discriminated and abstracted using FFT and HHT to analyze the vibration frequencies. The experimental results showed that the proposed method can successfully predict the prognostic status of an ATDH rotor. The smart sensing of the health of the ATDH was achieved through a comparative evaluation of the MSE values. The proposed diagnostic method yielded satisfactory prognostic effectiveness in predicting the health status of the tested ATDH rotor.
UR - http://www.scopus.com/inward/record.url?scp=84978291120&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978291120&partnerID=8YFLogxK
U2 - 10.21595/jve.2016.16735
DO - 10.21595/jve.2016.16735
M3 - Article
AN - SCOPUS:84978291120
VL - 18
SP - 1514
EP - 1524
JO - Journal of Vibroengineering
JF - Journal of Vibroengineering
SN - 1392-8716
IS - 3
ER -