A method for decomposing a noise source of an aeroengine component

By combining time and frequency domain methods, using spatial sound source analysis and adaptive signal decomposition filtering, the fan and jet noise in aero-engine noise can be accurately separated, solving the problems of low resolution and amplitude deviation in existing technologies, and realizing accurate assessment and airworthiness verification of noise sources.

CN116086818BActive Publication Date: 2026-08-04CIVIL AVIATION UNIV OF CHINA
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Patent Information

Application Number
CN202310078265.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-01-18
Publication Date
2026-08-04
Estimated Expiration
2043-01-18

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately decompose fan noise and jet noise in aero-engine noise, resulting in low resolution, amplitude deviation, and inaccurate frequency identification, failing to meet the need for precise assessment of noise contribution.

Method used

By employing a time-frequency domain combined approach, broadband and pure tone components are extracted through spatial sound source analysis, adaptive signal decomposition filtering, and singular value decomposition. Pearson correlation coefficient is used to identify the noise sources of different components and their spectral relationships, thereby achieving accurate separation of fan and jet noise.

Benefits of technology

It achieves accurate separation of the amplitude and frequency of fan noise and jet noise, improves resolution and stability, is suitable for engine noise source evaluation under different designs and operating conditions, and supports noise control and airworthiness verification.

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Abstract

This invention discloses a method for decomposing noise sources in aero-engine components, comprising the following steps: S1, spatial sound source analysis; acquiring noise input at each measurement point, constructing a covariance matrix and performing singular value decomposition; obtaining the number of eigenvalues ​​reaching a set contribution threshold; S2, extracting broadband time-domain components and pure audio-domain components; removing discrete pure-tone periodic components to obtain stationary random broadband components; processing the total noise and broadband noise separately using a Hanning window-applied discrete Fourier transform and subtracting them to obtain the spectrum of the pure-tone noise components; S3, adaptive signal decomposition filtering; S4, sound source directivity identification; S5, sound source separation; S6, noise component identification; S7, amplitude calibration; S8, sound source merging. This invention can accurately decompose fan noise and jet noise from engine noise, enabling accurate assessment of the contribution of modern turbofan engine noise sources at different frequencies and angles.
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