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含噪的超定问题及其在振源识别中的应用

FastICA Algorithm with Its Application to Recognition on Vibration Sources
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摘要 多源激励情况下,从传感器阵列输出的高维响应中分离、识别不同振源的性质,对于大型结构振动分析及其状态监测与健康评价有着重要的意义。本文结合大型结构振动的性质,均对传感器个数多于信号源个数的情形,介绍了奇异值分解确定信号源个数与利用快速定点独立分量分析实现多源激励情况下振源信息分离的方法。文中通过实例给出了这种方法的应用效果。 Under multiple sources exciting, to separate and recognize characters of each exciting source is a useful technique for infrastructure vibration analysis with its application in structure condition monitoring and health evaluation area. Under the consideration of the peculiarities from large scale structure vibrating, an excitation sources separating approach using fast fixed-point ICA is presented in the paper. Its merits are illustrated by real world vibration data in the paper too.
出处 《微计算机信息》 北大核心 2006年第08S期224-225,143,共3页 Control & Automation
基金 广东省自然科学基金 编号:032356
关键词 振动测试 奇异值分解 含噪超定问题 独立分量分析 vibration test, independent components analyses ,singular value decomposition, Include and make an uproar and exceed the question of making
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