基于粗糙集理论的小波包诊断系统

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI:10.1109/ICACI.2012.6463164

Yingkai Sun, Hai Chen

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引用次数: 0

摘要

采用小波包分析方法获取故障诊断系统的特征参数。探讨了粗糙集理论在参数属性优化中的应用。采用约简算法剔除不需要的属性。揭示了故障诊断系统状态属性的内在冗余性。同时也降低了神经网络结构的复杂性。最后给出了属性约简的结果。

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A wavelet packet diagnosis system based on rough set theory

The wavelet packet analysis was adopted in acquisition of fault diagnosis system's characteristic parameter. The application of rough set theory in parameter's attribute optimization was explored. The unnecessary attributes were eliminated with reduction algorithm. The inner redundancy of fault diagnosis system's condition attributes is revealed. The complexity of neural network's structure is also decreased. The result of attribute reduction is given finally.

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2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)

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