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独立分量分析在柴油机缸盖振动信号分离中的应用 被引量:1

Application of Independent Component Analysis to Decomposition of Engine Vibration Signals
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摘要 采用独立分量分析的方法进行了柴油机缸盖振动信号分离的研究.建立了基于Fixed-pointICA算法的4135船用柴油机缸盖振动信号分析模型,分析了这些振动信号的性质.针对实际应用,对采集到的2路混合信号进行分离,得到了各独立分量的时域和频域分布.分离结果表明独立分量分析是一种行之有效的信号处理的新方法. Independent Component Analysis (ICA) was carried out to decompose engine vibration signals. Based on Fixed-point ICA algorithm, the conventional model for the vibrate signal of marine diesel engine was set up, analyses the property of vibration Signal. In view of the practical application, 2 route linear mixed sig- nals are carried on the separation, each independent component time domain and frequency range distribution is obtained. The result shows that ICA is an effective way to pretreatment of signal.
作者 康斌 向阳
出处 《武汉理工大学学报(交通科学与工程版)》 2012年第4期753-756,共4页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金 国家自然科学基金项目资助(批准号:50275109)
关键词 独立分量分析 柴油机 快速不动点算法 independent component analysis diesel engine fast fixed-point algorithm
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