将基于延时差和强度差的双耳听觉空间定位理论用于柴油机辐射噪声的分离，探索双通道噪声信号分离的可行性。另外，由于柴油机辐射噪声中不可避免的时频域混叠及同一位置辐射的噪声存在多个激励源的问题，再针对双通道定位算法分离的结果进一步利用盲源分离方法进行分离。设计柴油机振动及噪声采集试验，为屏蔽其他缸的干扰源，仅裸露6号待测缸，而对其他缸对应的机体外表面进行消音棉和铅覆盖处理。分离结果表明，双通道算法相当于一种前处理“滤波器”，能排除其他位置源的干扰，针对分离出的分量，再借助盲源分离方法能准确分离出机体侧辐射噪声中的燃烧激励成分和活塞敲击激励成分。而且相比于仅仅使用盲源分离方法，该联合噪声分离方案在分离复杂的柴油机辐射噪声上更为优越。
李胜杨
,
向阳
,
钱思冲
,
王帅
,
姚家驰
. 基于双通道定位的柴油机辐射噪声盲分离研究[J]. 机械工程学报, 2017
, 53(18)
: 138
-145
.
DOI: 10.3901/JME.2017.18.138
The exploration research provides a new view and thinking for the internal combustion engine noise source identification, which proposes to separate engine radiation noise by dual channel localization algorithm that based on time difference and intensity difference cues at the same time. However, due to the inevitable time-frequency aliasing of radiated noise and the problem of multiple excitation sources in the same space location, then the blind source separation method is adopted for further separation. The results show that: dual-channel localization algorithm is equivalent to a kind of "filter", which can eliminate the interference of sources in other location. The joint noise separation scheme successfully separated the combustion excitation component and piston-slap incentives in radiation noise of the engine body side. And the scheme is more superior for separation of complex diesel engine radiated noise compared to the merely BSS method.
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