Abstract:
相对于单一故障诊断,混合故障的特征分离历来是诊断领域的一大难题。针对某高线轧机的一次多故障并发的振动信号,本文引入了独立分量分析(ICA)技术,以负熵最大化为分离判据,以牛顿迭代法为优化算法,实现了滚动轴承故障特征的有效分离和提取。
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Year: 2012
Language: Chinese
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WoS CC Cited Count: 0
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 6
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