Low Frequency Analysis of Acoustic and Vibration Data of a Remote Control Electronic Helicopter

Jeng, Yih; Yang, Tzung-Ming; Wu, Chia-Hung

doi:10.2514/6.2009-1155

Cited by 6 publications

(36 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study uses the iterative Gaussian smoothing method in the spectral domain to serve as a high-passed filter. It can be proven the resulting response takes the following form [Jeng et al , 2009[Jeng et al , 2011 wavelength λ ≤ 1.036seconds are almost the same as that of original data and those wave modes with wavelength λ ≤ 2.072seconds are removed. Now the trend is ultimately removed.…”

Section: Theoretical Developmentmentioning

confidence: 94%

“…By scanning both f and over the desired range of time-frequency domain, the desired two-dimensional Gabor wavelet coefficient plot or the spectrogram can be obtained. It can be proven it is about equal to the following form [Jeng et al 2009[Jeng et al , 2011: These relations indicate the wavelet coefficient is just an inverse FFT of a finite spectrum band specified by an associated Gaussian window whose window width is 1/(2aπ) and is www.intechopen.com centered at the frequency of f. For the sake of completeness, the procedures are summarized below [Jeng et al 2009[Jeng et al , 2011. 1.…”

Section: Theoretical Developmentmentioning

confidence: 99%

“…3. Choose the frequency resolution Note that the resulting wavelet coefficients (spectrograms) are subject to the blur effect of the uncertainty principle [Goswami & Chan, 1999;Mallat, 1999;Jeng et al 2009Jeng et al , 2011. At most one obtains the best resolution with certain compromise between the temporal and spectral scales.…”

Section: Theoretical Developmentmentioning

confidence: 99%

“…Next, the zero crossing points around the two ends can be located by a search procedure and interpolation formula. After dropping the data segments beyond the two zeros, a monotonic cubic interpolation [Huynh, 1993;Jeng et al 2009Jeng et al , 2011 is used to redistribute the data into uniform spacing whose points equal an integer power of 2. Subsequently, the odd function mapping is used to double the data span.…”

Section: Theoretical Developmentmentioning

confidence: 99%

See 3 more Smart Citations

A Comparison Study on Arterial Blood Pressure and Pulse Data of Condenser Microphone

Han¹,

Jeng²,

Lee³

et al. 2012

Recent Advances in Theories and Practice of Chinese Medicine

Self Cite

View full text Add to dashboard Cite

Section: Theoretical Developmentmentioning

confidence: 94%

Section: Theoretical Developmentmentioning

confidence: 99%

Section: Theoretical Developmentmentioning

confidence: 99%

Section: Theoretical Developmentmentioning

confidence: 99%

See 2 more Smart Citations

A Comparison Study on Arterial Blood Pressure and Pulse Data of Condenser Microphone

Han¹,

Jeng²,

Lee³

et al. 2012

Recent Advances in Theories and Practice of Chinese Medicine

Self Cite

View full text Add to dashboard Cite

“…The error targeting function of the weighted moving least squares method is defined at every data point x k , say [45,48] …”

Section: Iterative Moving Least Squares Methodsmentioning

confidence: 99%

A class of fast and accurate deterministic trend decomposition in the spectral domain using simple and sharp diffusive filters

Jeng

Yang

Cheng

2012

Journal of the Franklin Institute

Self Cite

View full text Add to dashboard Cite

Monitor of Remote Control Vehicle via Approximate Gabor Transform of Their Acoustic Signatures

Jeng

Yang

2012

Journal of Aircraft

Self Cite

View full text Add to dashboard Cite

This study employs the Fourier sine spectrum and Gabor sine spectrogram to monitor the vibration modes of three unmanned aircrafts whose data are collected by a portable acoustic data acquisition system. To capture both dominant and miuor modes, procedures to generate the spectrum and spectrogram are carefully constructed to avoid errors as much as possible. The uousiuusoidai trend is first removed via the iterative Gaussian smoothing method. Zero points around the two ends of the high-frequency part are identified by searching and interpolation procedures. After dropping segments beyond the two zero euds, the Fourier sine spectrum is obtahied. The timefrequency transform imposes a finite bandwidth Gaus.sian window upon the spectrum centered at a giveu frequency. Finally, the inverse fast Fourier tran.sform of the spectral band gives the spectrogram coefficient. The resulting spectrum aud spectrogram capture a great deal of information couceruing the dominant modes aud corresponding harmonics that clearly reveal the operating conditions. According to the nonlinear subharmonic theory of von Círoll and Ewins ("A Mechanism of Low Subharmonic Response in Rotor/Stator Contact-Measuremeuts and Simulations," analyses of acoustic signatures of three remote control aerial vehicles indicate they do not have significant nonalignment between components. The test ofa remote control helicopter even shows the capability of resolving the change ofa fiowfield. All of the tests show that the proposed system is a potential tool to monitor both the operational and healthy conditions of a system.

show abstract

Low Frequency Analysis of Acoustic and Vibration Data of a Remote Control Electronic Helicopter

Cited by 6 publications

References 4 publications

A Comparison Study on Arterial Blood Pressure and Pulse Data of Condenser Microphone

A Comparison Study on Arterial Blood Pressure and Pulse Data of Condenser Microphone

A class of fast and accurate deterministic trend decomposition in the spectral domain using simple and sharp diffusive filters

Monitor of Remote Control Vehicle via Approximate Gabor Transform of Their Acoustic Signatures

Contact Info

Product

Resources

About