Methods, apparatus, equipment and computer-readable media for noise localization of complex automotive components

By integrating acoustic, vibration, and temperature signals into a multi-sensor method and using Akaike acoustic frequency extraction technology, the problem of low localization accuracy of single acoustic signals has been solved, enabling precise localization of noise sources and rapid fault repair, thereby reducing vehicle damage rates and repair costs.

CN122307470APending Publication Date: 2026-06-30北京安声汇智科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
北京安声汇智科技有限公司
Filing Date
2026-04-10
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies rely solely on a single acoustic signal to locate noise sources in complex automotive components, resulting in low accuracy and precision in noise source localization, increasing vehicle damage rates, and raising repair costs and time.

Method used

A multi-sensor signal integration method is adopted, including acoustic signals, vibration signals and temperature signals, combined with Akaike acoustic frequency extraction technology, to locate noise sources and process fault information. The noise source location information is then used to control the operation and maintenance equipment for fault repair.

Benefits of technology

It improves the accuracy and precision of noise source localization, reduces vehicle damage rate, reduces maintenance costs and time, and improves maintenance efficiency and vehicle performance.

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Abstract

This disclosure provides embodiments of a method, apparatus, device, and computer-readable medium for noise localization of complex automotive components. One specific implementation of the method includes: acquiring signals generated by various sensors to obtain an initial sensor signal set; performing timing signal preprocessing on the initial sensor signal set to obtain a further sensor signal set; determining fault information of the target complex automotive component to obtain target fault information; extracting Akaike acoustic frequencies from the acoustic signal set to obtain a set of characteristic frequency information for the acoustic array signal; using the characteristic frequency information set for the acoustic array signal to perform noise source localization processing on the target complex automotive component to obtain noise source localization information; and controlling maintenance equipment to perform fault repair on the target complex automotive component based on the noise source localization information and the target fault information. This implementation can improve the accuracy and precision of noise source localization information, improve the performance of the target complex automotive component and the vehicle, and enhance the timeliness and efficiency of maintenance.
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