Intrinsic mode singular value decomposition and Support Vector Machine are combined to realize fault diagnosis of locomotive bearing.
本文提出将内禀模态奇异值分解和支持向量机(Support Vector Machine)相结合的方法实现机车轴承的故障诊断。
参考来源 - 基于支持向量机的机车轴承故障诊断系统的研究Intrinsic mode singular value decomposition and Support Vector Machine are combined to realize fault diagnosis of locomotive bearing.
本文提出将内禀模态奇异值分解和支持向量机(Support Vector Machine)相结合的方法实现机车轴承的故障诊断。
参考来源 - 基于支持向量机的机车轴承故障诊断系统的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
介绍了机车轴承故障诊断中振动信号采集的硬件实现。
The hardware of collection technique of vibration signal in fault diagnosis of locomotive bearing is introduced.
介绍一种基于ARM嵌入式系统和机车轴承诊断系统。
System of locomotive bearing fault diagnosis based on ARM embedded System was introduced.
试运行表明：系统先进可靠，能满足 机车轴承 故障诊断的需求。
Trial operation shows the system is advanced and reliable, meeting the requirement for locomotive bearing fault diagnosis.
应用推荐