摘要
对某公司摩托车加速通过噪声源识别时,由于缸头、进气口距离太近,两处传声器所测信号之间的相关性较大。先通过对语音信号的仿真,验证了算法的准确性。然后根据信号的短时平稳特性,把成功应用在语音信号处理的盲分离技术应用在加速噪声噪声源分离中,并成功地分离了缸头和进气口处的加速噪声信号,提高了噪声源识别的准确性。
When identifying the source of run-up noise on motorbike, because the distance between cylinder end and intake port is too short, the correlation of signals tested in the two microphones is large. At first, through emulating voice signal, veracity of the algorithm is validated. Then according to signal stationary character in short time, BSS which has been successfully used in voice signal process is applied in separating run-up noise, and the signals of cylinder end and intake port are successfully separated, noise source identification veracity is improved.
出处
《农业装备与车辆工程》
2011年第6期33-36,共4页
Agricultural Equipment & Vehicle Engineering
关键词
BSS
加速噪声
噪声源
识别
BSS
run-up noise
noise source
identification
