基于振源特征的滑动轴承-转子系统主动噪声控制方法研究OA
Research on Active Noise Control Method for Sliding Bearing-Rotor System Based on Vibration Source Characteristics
为解决传统主动噪声控制(Active Noise Control,ANC)技术对高精度噪声传感器依赖性强的问题,课题组提出一种基于振源特征的主动噪声控制方法.该方法通过建立振动-噪声映射关系,直接从转子系统振动信号中提取频域特征以构建降噪信号,并转换为降噪声波以实现噪声抵消.研究结果表明:在降噪信号与振动信号的相位角差值为 180°时,声压级由70 dB 降至40 dB,声压级下降比例为42.9%,且仅需常规扬声装置即可实现有效降噪.该方法绕过了传统的声学传感环节,为旋转机械噪声治理提供了新的技术参考.
To address the strong reliance of conventional Active Noise Control(ANC)on high-precision acoustic sensors,a direct noise reduction method based on vibration source characteristics was proposed.By establishing a vibration-noise mapping relationship,the method directly extracted frequency-domain features from rotor system vibration signals to construct anti-noise signals,which were then converted into acoustic waveforms for noise cancellation.The results indicate that when the phase angle difference between the noise reduction signal and the vibration signal is 180°,the sound pressure level decreases significantly from 70 dB to 40 dB,with a sound pressure level reduction rate of 42.9%,and effective noise reduction can be achieved using only conventional loudspeaker devices.This method provides a new technical reference for the noise control of rotating machinery bypassing the conventional acoustic sensing step.
崔严文;付莎莎;贾逸飞;邢宇;代阳
西安工程大学 机电工程学院,陕西 西安 710600西安汽车职业大学 智能制造学院,陕西 西安 710600西安工程大学 机电工程学院,陕西 西安 710600西安工程大学 机电工程学院,陕西 西安 710600西安工程大学 机电工程学院,陕西 西安 710600
机械制造
主动噪声控制旋转机械振动-噪声映射关系轴承-转子系统相位差
ANC(Active Noise Control)rotating machineryvibration-noise mapping relationshipsliding bearing-rotor systemphase difference
《轻工机械》 2026 (2)
85-91,7
西安工程大学大学生创新创业训练计划项目(X202410709189)陕西省重点研发计划一般项目(2024GX-YBXM-237).
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