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ji yu shen jing wang luo he d-s zheng ju li lun de xin xi rong he gu zhang zhen duan fang fa
Author(s): 
Pages: 90-93
Year: Issue:  10
Journal: Journal of Mechanical Transmission

Keyword:  齿轮故障诊断信息融合神经网络D-S证据理论;
Abstract: 为了解决齿轮传动系统检测难度大、准确性不高和多点测试时信息处理复杂的问题,提取振动信号统计量特征参数、利用神经网络技术与D-S(Dempster-Shafert)证据理论相结合的信息融合故障诊断方法,实现了数据级、特征级与决策级的多级融合诊断。实验结果表明,将信息融合方法用于齿轮传动系统故障诊断,有助于综合利用故障信息,提高了故障诊断的准确性和可信度。
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