摘要
针对设备异常度检测与故障诊断相分离的问题,首先基于数据势场理论,对设备状态空间的划分方法进行研究,在此基础上详细地研究了设备异常度检测与故障诊断快速融合诊断的机理,提出了应用于设备融合诊断的单故障非己势场检测器。然后以凯斯西储大学轴承标准数据集为例,对所提出的设备快速融合诊断方法的合理性进行了验证。最后通过故障隶属度曲线,证明了所提出的融合方法的有效性。
Aiming at the separation of equipment abnormal degree detection and fault diagnosis,it analyzes the division method of equipment state space,discusses the equipment abnormal degree and fault diagnosis rapid fusion mechanism,proposes the single fault of non- self- potential field detector used for equipment fusion diagnosis. Taking the bearing data sets of Case Western Reserve University as example,it verifies the rationality of the proposed equipment rapid fusion diagnosis method. At last,it uses the fault membership degree curve to prove the effectiveness of the proposed fusion method.
出处
《机械设计与制造工程》
2016年第11期96-101,共6页
Machine Design and Manufacturing Engineering
基金
国家自然科学基金青年基金资助项目(61603238)
