【摘要】 基于负熵极大化算法的盲源分离技术，结合小波变换谱分析技术提出了自适应系数负熵极大化盲源分离算法及连续小波变换（adaption negentropy maximum–continuous wavelet transform, ANM–CWT）综合分析技术。并利用ANM–CWT分析技术，成功识别出了怠速工况下发动机由燃烧产生的燃烧噪声激励源、由机械运动产生的机械噪声激励源及由活塞敲击气缸壁而产生的异响噪声激励源。更多还原

【Abstract】 Based on the blind source separation technology of negative entropy maximization algorithm and wavelet transform spectrum analysis technology, the adaption negentropy maximum(ANM)–continuous wavelet transform(CWT) was proposed. With the ANM–CWT analysis technology, the combustion noise excitation source generated by combustion, the mechanical noise excitation source generated by mechanical motion and the abnormal noise excitation source generated by piston knocking on the cylinder wall were successfully identified.更多还原