将信息融合的层次与故障诊断的功能相对应，提出了旋转机械振动故障诊断的信息融合模型。
Based on hierarchy of information fusion being corresponding with function of fault diagnosis, it puts forward a data fusion model for fault diagnosis of rotating machines.
阶比分析技术是旋转机械振动信号分析和故障诊断的一项重要技术。
Order analysis is one of the most important techniques of rotating machinery involving vibration signal processing and fault diagnosis.
盲源分离应用于机械振动信号的预处理中，提供了一个新的处理机制，在机械状态监测和故障诊断中具有一定的价值。
Blind Sources Separation (BSS) provides a new alterative for extraction of certain signal components in the signal corrupted by noise, and presents a new method for mechanical fault diagnosis.
试验表明，系统可以发现故障机械振动信号带有的奇异性，实现旋转机械的故障诊断。
Experimentation results indicate that the singularity of the fault machinery vibration signal can be detected and the machinery fault can be discovered by the system.
以模糊诊断原理为基础，建立故障机理和故障诊断的数学模型，并对引起旋转机械振动故障的各种原因进行分析对比。
With the principle of fuzzy to diagnose as foundation, sets up the mathematics model for trouble mechanism and diagnosing trouble.
以模糊诊断原理为基础，建立故障机理和故障诊断的数学模型，并对引起旋转机械振动故障的各种原因进行分析对比。
With the principle of fuzzy to diagnose as foundation, sets up the mathematics model for trouble mechanism and diagnosing trouble.
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