家电科技 ›› 2020, Vol. 0 ›› Issue (5): 72-75.doi: 10.19784/j.cnki.issn1672-0172.2020.05.010

• 论文 • 上一篇    下一篇

声学刷噪声源识别技术在空调器上的应用研究

朱标, 郝玉密, 赵希枫   

  1. 海信(山东)空调有限公司 山东青岛 266000
  • 出版日期:2020-10-01 发布日期:2020-09-27
  • 通讯作者: 朱标 zhubiao@hisense.com

Research on application of sound brush noise source identification technology on air conditioner

ZHU Biao, HAO Yumi, ZHAO Xifeng   

  1. Hisense (Shandong) Air Conditioner Co., Ltd. Qingdao 266000
  • Online:2020-10-01 Published:2020-09-27

摘要: 在空调产品开发过程中经常会出现一些异常噪声问题,极大地影响用户体验和产品的声品质的提升,如风道啸叫声、电机电磁噪声等。通过综合使用噪声滤波诊断、声学刷扫描测试和声振对比等方法对空调室内机啸叫噪声进行研究,识别出该啸叫声的噪声源和噪声传递路径。首先使用噪声滤波声诊断法,识别出异常噪声的频段分布;然后对基于声强法与光学追踪技术相结合的声学刷噪声源识别技术进行研究,识别出该啸叫声是由于直流无刷电机电磁激励引起的电磁噪声;最后通过核心零部件声振对比确定出该异常噪声是由于电机本体振动辐射发出。

关键词: 声学刷, 声源识别, 滤波诊断, 频谱分析

Abstract: During the development of air-conditioning products, there are some abnormal noise problems,such as wind howling, motor electromagnetic noise, etc., which greatly affect the user experience and the improvement of the sound quality of the product. This paper studies the howling noise of air conditioner indoor units by comprehensively using noise filter diagnosis, acoustic brush scan test and acoustic vibration comparison to identify the noise source and noise transmission path of the howling noise. Firstly, the noise filtering sound diagnosis method was applied to identify the frequency band distribution of abnormal noise; then research the acoustic brush noise source recognition technology based on the combination of sound intensity method and optical tracking technology, and identify that the howling sound is due to the DC brushless motor electromagnetic noise; finally, it was determined that the abnormal noise was caused by the vibration radiation of the motor body through the comparison of the core components.

Key words: Sound brush, Sound source recognition, Filter diagnosis, Spectrum analysis

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