Solid rocket near-field noise in static experiment: wavelet analysis

Qiang Xu; Guangxuan Liao

doi:10.1117/12.458757

8 March 2002 Solid rocket near-field noise in static experiment: wavelet analysis

Qiang Xu, Guangxuan Liao

Proceedings Volume 4738, Wavelet and Independent Component Analysis Applications IX; (2002) https://doi.org/10.1117/12.458757
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

Citation Download Citation

Qiang Xu and Guangxuan Liao "Solid rocket near-field noise in static experiment: wavelet analysis", Proc. SPIE 4738, Wavelet and Independent Component Analysis Applications IX, (8 March 2002); https://doi.org/10.1117/12.458757

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