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Proceedings Paper

Solid rocket near-field noise in static experiment: wavelet analysis
Author(s): Qiang Xu; Guangxuan Liao
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Paper Abstract

Rocket noise is an inherent behavior of rocket exhaust. Static experiment of rocket engine with synthetic propellant was conducted in rocket engine static-state experiment laboratory to study the properties of the noise. The near-field rocket noise has high intensity and is rich in shocks that are perceived as crackle. Wavelet transformation was used to analyze near-field solid rocket noise measured by piezo-resistive pressure transducers in experiment. Mexican Hat wavelet was used to detect the sharp edge of shock waveform in near-field noise. Large magnitude and short duration shock waveforms are detected. Discrete Daubechies10 wavelet is used to decompose the noise data. Features of near-field noise are analyzed in each scale. The conception of scale energy spectrum based on wavelet coefficients is also introduced to study the noise data. The energy distribution of near-field noise in scale domain is illustrated in this paper. Scale concentration of near-field energy is identified by the scale energy spectrum. The distinct difference between near-field and far-field rocket noise is that the energy of near-field noise concentrates in a much higher frequency band than that of far-field noise. Form the analysis a tendency can be perceived that the energy peak moves from small scale (high frequency) to large scale (low frequency) slightly with the test position goes far away from the exit plane. Wavelet transformation is proved useful in analysis of these noise signals which rich in shock waveform.

Paper Details

Date Published: 8 March 2002
PDF: 6 pages
Proc. SPIE 4738, Wavelet and Independent Component Analysis Applications IX, (8 March 2002); doi: 10.1117/12.458757
Show Author Affiliations
Qiang Xu, Univ. of Science and Technology of China (China)
Guangxuan Liao, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 4738:
Wavelet and Independent Component Analysis Applications IX
Harold H. Szu; James R. Buss, Editor(s)

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